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488 changed files with 8822 additions and 76049 deletions

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@ -2,287 +2,133 @@
kind: pipeline
name: default
node:
nix-daemon: 1
workspace:
base: /drone/garage
volumes:
- name: cargo_home
temp: {}
steps:
- name: check formatting
image: nixpkgs/nix:nixos-22.05
commands:
- nix-shell --attr rust --run "cargo fmt -- --check"
- name: restore-cache
image: meltwater/drone-cache:dev
volumes:
- name: cargo_home
path: /drone/cargo
environment:
AWS_ACCESS_KEY_ID:
from_secret: cache_aws_access_key_id
AWS_SECRET_ACCESS_KEY:
from_secret: cache_aws_secret_access_key
pull: true
settings:
restore: true
archive_format: "gzip"
bucket: drone-cache
cache_key: '{{ .Repo.Name }}_{{ checksum "Cargo.lock" }}_{{ arch }}_{{ os }}_gzip'
region: garage
mount:
- '/drone/cargo'
- 'target'
path_style: true
endpoint: https://garage.deuxfleurs.fr
when:
branch:
- nonexistent_skip_this_step
- name: build
image: nixpkgs/nix:nixos-22.05
commands:
- nix-build --no-build-output --attr clippy.amd64 --argstr git_version ${DRONE_TAG:-$DRONE_COMMIT}
- name: unit + func tests
image: nixpkgs/nix:nixos-22.05
image: lxpz/garage_builder_amd64:1
volumes:
- name: cargo_home
path: /drone/cargo
environment:
GARAGE_TEST_INTEGRATION_EXE: result-bin/bin/garage
CARGO_HOME: /drone/cargo
commands:
- nix-build --no-build-output --attr clippy.amd64 --argstr git_version ${DRONE_TAG:-$DRONE_COMMIT}
- nix-build --no-build-output --attr test.amd64
- ./result/bin/garage_db-*
- ./result/bin/garage_api-*
- ./result/bin/garage_model-*
- ./result/bin/garage_rpc-*
- ./result/bin/garage_table-*
- ./result/bin/garage_util-*
- ./result/bin/garage_web-*
- ./result/bin/garage-*
- ./result/bin/integration-*
- rm result
- pwd
- cargo fmt -- --check
- cargo build
- name: integration tests
image: nixpkgs/nix:nixos-22.05
- name: cargo-test
image: lxpz/garage_builder_amd64:1
volumes:
- name: cargo_home
path: /drone/cargo
environment:
CARGO_HOME: /drone/cargo
commands:
- nix-build --no-build-output --attr clippy.amd64 --argstr git_version ${DRONE_TAG:-$DRONE_COMMIT}
- nix-shell --attr integration --run ./script/test-smoke.sh || (cat /tmp/garage.log; false)
- cargo test
trigger:
event:
- custom
- push
- pull_request
- tag
- cron
- name: rebuild-cache
image: meltwater/drone-cache:dev
volumes:
- name: cargo_home
path: /drone/cargo
environment:
AWS_ACCESS_KEY_ID:
from_secret: cache_aws_access_key_id
AWS_SECRET_ACCESS_KEY:
from_secret: cache_aws_secret_access_key
pull: true
settings:
rebuild: true
archive_format: "gzip"
bucket: drone-cache
cache_key: '{{ .Repo.Name }}_{{ checksum "Cargo.lock" }}_{{ arch }}_{{ os }}_gzip'
region: garage
mount:
- '/drone/cargo'
- 'target'
path_style: true
endpoint: https://garage.deuxfleurs.fr
when:
branch:
- nonexistent_skip_this_step
- name: smoke-test
image: lxpz/garage_builder_amd64:1
volumes:
- name: cargo_home
path: /drone/cargo
environment:
CARGO_HOME: /drone/cargo
commands:
- ./script/test-smoke.sh || (cat /tmp/garage.log; false)
---
kind: pipeline
type: docker
name: release-linux-amd64
node:
nix-daemon: 1
name: website
steps:
- name: build
image: nixpkgs/nix:nixos-22.05
image: hrektts/mdbook
commands:
- nix-build --no-build-output --attr pkgs.amd64.release --argstr git_version ${DRONE_TAG:-$DRONE_COMMIT}
- nix-shell --attr rust --run "./script/not-dynamic.sh result-bin/bin/garage"
- cd doc/book
- mdbook build
- name: integration
image: nixpkgs/nix:nixos-22.05
commands:
- nix-shell --attr integration --run ./script/test-smoke.sh || (cat /tmp/garage.log; false)
- name: push static binary
image: nixpkgs/nix:nixos-22.05
environment:
AWS_ACCESS_KEY_ID:
- name: upload
image: plugins/s3
settings:
bucket: garagehq.deuxfleurs.fr
access_key:
from_secret: garagehq_aws_access_key_id
AWS_SECRET_ACCESS_KEY:
secret_key:
from_secret: garagehq_aws_secret_access_key
TARGET: "x86_64-unknown-linux-musl"
commands:
- nix-shell --attr release --run "to_s3"
- name: docker build and publish
image: nixpkgs/nix:nixos-22.05
environment:
DOCKER_AUTH:
from_secret: docker_auth
DOCKER_PLATFORM: "linux/amd64"
CONTAINER_NAME: "dxflrs/amd64_garage"
HOME: "/kaniko"
commands:
- mkdir -p /kaniko/.docker
- echo $DOCKER_AUTH > /kaniko/.docker/config.json
- export CONTAINER_TAG=${DRONE_TAG:-$DRONE_COMMIT}
- nix-shell --attr release --run "to_docker"
trigger:
event:
- promote
- cron
---
kind: pipeline
type: docker
name: release-linux-i386
node:
nix-daemon: 1
steps:
- name: build
image: nixpkgs/nix:nixos-22.05
commands:
- nix-build --no-build-output --attr pkgs.i386.release --argstr git_version ${DRONE_TAG:-$DRONE_COMMIT}
- nix-shell --attr rust --run "./script/not-dynamic.sh result-bin/bin/garage"
- name: integration
image: nixpkgs/nix:nixos-22.05
commands:
- nix-shell --attr integration --run ./script/test-smoke.sh || (cat /tmp/garage.log; false)
- name: push static binary
image: nixpkgs/nix:nixos-22.05
environment:
AWS_ACCESS_KEY_ID:
from_secret: garagehq_aws_access_key_id
AWS_SECRET_ACCESS_KEY:
from_secret: garagehq_aws_secret_access_key
TARGET: "i686-unknown-linux-musl"
commands:
- nix-shell --attr release --run "to_s3"
- name: docker build and publish
image: nixpkgs/nix:nixos-22.05
environment:
DOCKER_AUTH:
from_secret: docker_auth
DOCKER_PLATFORM: "linux/386"
CONTAINER_NAME: "dxflrs/386_garage"
HOME: "/kaniko"
commands:
- mkdir -p /kaniko/.docker
- echo $DOCKER_AUTH > /kaniko/.docker/config.json
- export CONTAINER_TAG=${DRONE_TAG:-$DRONE_COMMIT}
- nix-shell --attr release --run "to_docker"
trigger:
event:
- promote
- cron
---
kind: pipeline
type: docker
name: release-linux-arm64
node:
nix-daemon: 1
steps:
- name: build
image: nixpkgs/nix:nixos-22.05
commands:
- nix-build --no-build-output --attr pkgs.arm64.release --argstr git_version ${DRONE_TAG:-$DRONE_COMMIT}
- nix-shell --attr rust --run "./script/not-dynamic.sh result-bin/bin/garage"
- name: push static binary
image: nixpkgs/nix:nixos-22.05
environment:
AWS_ACCESS_KEY_ID:
from_secret: garagehq_aws_access_key_id
AWS_SECRET_ACCESS_KEY:
from_secret: garagehq_aws_secret_access_key
TARGET: "aarch64-unknown-linux-musl"
commands:
- nix-shell --attr release --run "to_s3"
- name: docker build and publish
image: nixpkgs/nix:nixos-22.05
environment:
DOCKER_AUTH:
from_secret: docker_auth
DOCKER_PLATFORM: "linux/arm64"
CONTAINER_NAME: "dxflrs/arm64_garage"
HOME: "/kaniko"
commands:
- mkdir -p /kaniko/.docker
- echo $DOCKER_AUTH > /kaniko/.docker/config.json
- export CONTAINER_TAG=${DRONE_TAG:-$DRONE_COMMIT}
- nix-shell --attr release --run "to_docker"
trigger:
event:
- promote
- cron
---
kind: pipeline
type: docker
name: release-linux-arm
node:
nix-daemon: 1
steps:
- name: build
image: nixpkgs/nix:nixos-22.05
commands:
- nix-build --no-build-output --attr pkgs.arm.release --argstr git_version ${DRONE_TAG:-$DRONE_COMMIT}
- nix-shell --attr rust --run "./script/not-dynamic.sh result-bin/bin/garage"
- name: push static binary
image: nixpkgs/nix:nixos-22.05
environment:
AWS_ACCESS_KEY_ID:
from_secret: garagehq_aws_access_key_id
AWS_SECRET_ACCESS_KEY:
from_secret: garagehq_aws_secret_access_key
TARGET: "armv6l-unknown-linux-musleabihf"
commands:
- nix-shell --attr release --run "to_s3"
- name: docker build and publish
image: nixpkgs/nix:nixos-22.05
environment:
DOCKER_AUTH:
from_secret: docker_auth
DOCKER_PLATFORM: "linux/arm"
CONTAINER_NAME: "dxflrs/arm_garage"
HOME: "/kaniko"
commands:
- mkdir -p /kaniko/.docker
- echo $DOCKER_AUTH > /kaniko/.docker/config.json
- export CONTAINER_TAG=${DRONE_TAG:-$DRONE_COMMIT}
- nix-shell --attr release --run "to_docker"
trigger:
event:
- promote
- cron
---
kind: pipeline
type: docker
name: refresh-release-page
node:
nix-daemon: 1
steps:
- name: multiarch-docker
image: nixpkgs/nix:nixos-22.05
environment:
DOCKER_AUTH:
from_secret: docker_auth
HOME: "/root"
commands:
- mkdir -p /root/.docker
- echo $DOCKER_AUTH > /root/.docker/config.json
- export CONTAINER_TAG=${DRONE_TAG:-$DRONE_COMMIT}
- nix-shell --attr release --run "multiarch_docker"
- name: refresh-index
image: nixpkgs/nix:nixos-22.05
environment:
AWS_ACCESS_KEY_ID:
from_secret: garagehq_aws_access_key_id
AWS_SECRET_ACCESS_KEY:
from_secret: garagehq_aws_secret_access_key
commands:
- mkdir -p /etc/nix && cp nix/nix.conf /etc/nix/nix.conf
- nix-shell --attr release --run "refresh_index"
depends_on:
- release-linux-amd64
- release-linux-i386
- release-linux-arm64
- release-linux-arm
trigger:
event:
- promote
- cron
source: doc/book/book/**/*
strip_prefix: doc/book/book/
target: /
path_style: true
endpoint: https://garage.deuxfleurs.fr
region: garage
when:
event:
- push
branch:
- main
repo:
- Deuxfleurs/garage
---
kind: signature
hmac: ac09a5a8c82502f67271f93afa1e1e21ce66383b8e24a6deb26b285cc1c378ba
hmac: de82026387bd09e547dbc9cc5d232fd865204b4f393d32508c50b58f8e60611d
...

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Cargo.nix

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@ -1,20 +1,14 @@
[workspace]
resolver = "2"
members = [
"src/db",
"src/util",
"src/rpc",
"src/table",
"src/block",
"src/model",
"src/api",
"src/web",
"src/garage",
"src/k2v-client",
]
default-members = ["src/garage"]
[profile.dev]
lto = "off"

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@ -1,7 +1,10 @@
FROM scratch
FROM archlinux:latest
RUN mkdir -p /garage/meta
RUN mkdir -p /garage/data
ENV RUST_BACKTRACE=1
ENV RUST_LOG=garage=info
COPY result-bin/bin/garage /
CMD [ "/garage", "server"]
COPY target/release/garage.stripped /garage/garage
CMD /garage/garage server -c /garage/config.toml

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@ -1,27 +1,20 @@
.PHONY: doc all release shell run1 run2 run3
BIN=target/release/garage
DOCKER=lxpz/garage_amd64
all:
clear; cargo build
release:
nix-build --arg release true
$(BIN):
RUSTFLAGS="-C link-arg=-fuse-ld=lld -C target-cpu=x86-64 -C target-feature=+sse2" cargo build --release --no-default-features
shell:
nix-shell
$(BIN).stripped: $(BIN)
cp $^ $@
strip $@
# ----
run1:
RUST_LOG=garage=debug ./target/debug/garage -c tmp/config1.toml server
run1rel:
RUST_LOG=garage=debug ./target/release/garage -c tmp/config1.toml server
run2:
RUST_LOG=garage=debug ./target/debug/garage -c tmp/config2.toml server
run2rel:
RUST_LOG=garage=debug ./target/release/garage -c tmp/config2.toml server
run3:
RUST_LOG=garage=debug ./target/debug/garage -c tmp/config3.toml server
run3rel:
RUST_LOG=garage=debug ./target/release/garage -c tmp/config3.toml server
docker: $(BIN).stripped
docker pull archlinux:latest
docker build -t $(DOCKER):$(TAG) .
docker push $(DOCKER):$(TAG)
docker tag $(DOCKER):$(TAG) $(DOCKER):latest
docker push $(DOCKER):latest

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@ -3,36 +3,24 @@ Garage [![Build Status](https://drone.deuxfleurs.fr/api/badges/Deuxfleurs/garage
<p align="center" style="text-align:center;">
<a href="https://garagehq.deuxfleurs.fr">
<img alt="Garage logo" src="https://garagehq.deuxfleurs.fr/img/logo.svg" height="200" />
<img alt="Garage logo" src="doc/logo/garage.png" height="200" />
</a>
</p>
<p align="center" style="text-align:center;">
[ <strong><a href="https://garagehq.deuxfleurs.fr/">Website and documentation</a></strong>
| <a href="https://garagehq.deuxfleurs.fr/_releases.html">Binary releases</a>
| <a href="https://git.deuxfleurs.fr/Deuxfleurs/garage">Git repository</a>
| <a href="https://matrix.to/#/%23garage:deuxfleurs.fr">Matrix channel</a>
]
</p>
Garage is a lightweight S3-compatible distributed object store, with the following goals:
Garage is an S3-compatible distributed object storage service
designed for self-hosting at a small-to-medium scale.
- As self-contained as possible
- Easy to set up
- Highly resilient to network failures, network latency, disk failures, sysadmin failures
- Relatively simple
- Made for multi-datacenter deployments
Garage is designed for storage clusters composed of nodes running
at different physical locations,
in order to easily provide a storage service that replicates data at these different
locations and stays available even when some servers are unreachable.
Garage also focuses on being lightweight, easy to operate, and highly resilient to
machine failures.
Non-goals include:
Garage is built by [Deuxfleurs](https://deuxfleurs.fr),
an experimental small-scale self hosted service provider,
which has been using it in production since its first release in 2020.
- Extremely high performance
- Complete implementation of the S3 API
- Erasure coding (our replication model is simply to copy the data as is on several nodes, in different datacenters if possible)
Learn more on our dedicated documentation pages:
Our main use case is to provide a distributed storage layer for small-scale self hosted services such as [Deuxfleurs](https://deuxfleurs.fr).
- [Goals and use cases](https://garagehq.deuxfleurs.fr/documentation/design/goals/)
- [Features](https://garagehq.deuxfleurs.fr/documentation/reference-manual/features/)
- [Quick start](https://garagehq.deuxfleurs.fr/documentation/quick-start/)
Garage is entirely free software released under the terms of the AGPLv3.
**[Go to the documentation](https://garagehq.deuxfleurs.fr)**

27
TODO Normal file
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@ -0,0 +1,27 @@
Testing
-------
How are we going to test that our replication method works correctly?
We will have to introduce lots of dummy data and then add/remove nodes many times.
Attaining S3 compatibility
--------------------------
- test multipart uploads
- get ranges
- fix sync not working in some cases ? (when starting from empty?)
- api_server following the S3 semantics for head/get/put/list/delete: verify more that it works as intended
- PUT requests: verify content-md5 if provided
- possibly other necessary endpoints ?
Lower priority
--------------
- less a priority: hinted handoff
- repair: re-propagate block ref table to rc
- FIXME in rpc_server when garage shuts down and futures can be interrupted
(tokio::spawn should be replaced by a new function background::spawn_joinable)

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block_size = 1048576 # objects are split in blocks of maximum this number of bytes
metadata_dir = "/tmp/garage-meta"
data_dir = "/tmp/garage-data"
rpc_bind_addr = "[::]:3901" # the port other Garage nodes will use to talk to this node
bootstrap_peers = []
max_concurrent_rpc_requests = 12
data_replication_factor = 3
meta_replication_factor = 3
meta_epidemic_fanout = 3
[s3_api]
api_bind_addr = "[::1]:3900" # the S3 API port, HTTP without TLS. Add a reverse proxy for the TLS part.
s3_region = "garage" # set this to anything. S3 API calls will fail if they are not made against the region set here.
[s3_web]
bind_addr = "[::1]:3902"
root_domain = ".garage.tld"
index = "index.html"

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@ -1,62 +0,0 @@
{
system ? builtins.currentSystem,
git_version ? null,
}:
with import ./nix/common.nix;
let
pkgs = import pkgsSrc { };
compile = import ./nix/compile.nix;
build_debug_and_release = (target: {
debug = (compile {
inherit system target git_version pkgsSrc cargo2nixOverlay;
release = false;
}).workspace.garage {
compileMode = "build";
};
release = (compile {
inherit system target git_version pkgsSrc cargo2nixOverlay;
release = true;
}).workspace.garage {
compileMode = "build";
};
});
test = (rustPkgs: pkgs.symlinkJoin {
name ="garage-tests";
paths = builtins.map (key: rustPkgs.workspace.${key} { compileMode = "test"; }) (builtins.attrNames rustPkgs.workspace);
});
in {
pkgs = {
amd64 = build_debug_and_release "x86_64-unknown-linux-musl";
i386 = build_debug_and_release "i686-unknown-linux-musl";
arm64 = build_debug_and_release "aarch64-unknown-linux-musl";
arm = build_debug_and_release "armv6l-unknown-linux-musleabihf";
};
test = {
amd64 = test (compile {
inherit system git_version pkgsSrc cargo2nixOverlay;
target = "x86_64-unknown-linux-musl";
features = [
"garage/bundled-libs"
"garage/k2v"
"garage/sled"
"garage/lmdb"
"garage/sqlite"
];
});
};
clippy = {
amd64 = (compile {
inherit system git_version pkgsSrc cargo2nixOverlay;
target = "x86_64-unknown-linux-musl";
compiler = "clippy";
}).workspace.garage {
compileMode = "build";
};
};
}

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doc/20201202_talk/talk.pdf Normal file

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@ -1,17 +0,0 @@
# Browse doc
Run in this directory:
```
python3 -m http.server
```
And open in your browser:
- http://localhost:8000/garage-admin-v0.html
# Validate doc
```
wget https://repo1.maven.org/maven2/org/openapitools/openapi-generator-cli/6.1.0/openapi-generator-cli-6.1.0.jar -O openapi-generator-cli.jar
java -jar openapi-generator-cli.jar validate -i garage-admin-v0.yml
```

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@ -1,59 +0,0 @@
/* montserrat-300 - latin */
@font-face {
font-family: 'Montserrat';
font-style: normal;
font-weight: 300;
src: local(''),
url('../fonts/montserrat-v25-latin-300.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
url('../fonts/montserrat-v25-latin-300.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
}
/* montserrat-regular - latin */
@font-face {
font-family: 'Montserrat';
font-style: normal;
font-weight: 400;
src: local(''),
url('../fonts/montserrat-v25-latin-regular.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
url('../fonts/montserrat-v25-latin-regular.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
}
/* montserrat-700 - latin */
@font-face {
font-family: 'Montserrat';
font-style: normal;
font-weight: 700;
src: local(''),
url('../fonts/montserrat-v25-latin-700.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
url('../fonts/montserrat-v25-latin-700.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
}
/* roboto-300 - latin */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 300;
src: local(''),
url('../fonts/roboto-v30-latin-300.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
url('../fonts/roboto-v30-latin-300.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
}
/* roboto-regular - latin */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 400;
src: local(''),
url('../fonts/roboto-v30-latin-regular.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
url('../fonts/roboto-v30-latin-regular.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
}
/* roboto-700 - latin */
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 700;
src: local(''),
url('../fonts/roboto-v30-latin-700.woff2') format('woff2'), /* Chrome 26+, Opera 23+, Firefox 39+ */
url('../fonts/roboto-v30-latin-700.woff') format('woff'); /* Chrome 6+, Firefox 3.6+, IE 9+, Safari 5.1+ */
}

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@ -1,24 +0,0 @@
<!DOCTYPE html>
<html>
<head>
<title>Garage Adminstration API v0</title>
<!-- needed for adaptive design -->
<meta charset="utf-8"/>
<meta name="viewport" content="width=device-width, initial-scale=1">
<link href="./css/redoc.css" rel="stylesheet">
<!--
Redoc doesn't change outer page styles
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These are the sources for the documentation but not the whole website.
The website templates and other things are in garage_website, which
uses this as a submodule.

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6
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[book]
authors = ["Quentin Dufour"]
language = "en"
multilingual = false
src = "src"
title = "Garage Documentation"

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title = "Build your own app"
weight = 4
sort_by = "weight"
template = "documentation.html"
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Garage has many API that you can rely on to build complex applications.
In this section, we reference the existing SDKs and give some code examples.
## ⚠️ DISCLAIMER
**K2V AND ADMIN SDK ARE TECHNICAL PREVIEWS**. The following limitations apply:
- The API is not complete, some actions are possible only through the `garage` binary
- The underlying admin API is not yet stable nor complete, it can breaks at any time
- The generator configuration is currently tweaked, the library might break at any time due to a generator change
- Because the API and the library are not stable, none of them are published in a package manager (npm, pypi, etc.)
- This code has not been extensively tested, some things might not work (please report!)
To have the best experience possible, please consider:
- Make sure that the version of the library you are using is pinned (`go.sum`, `package-lock.json`, `requirements.txt`).
- Before upgrading your Garage cluster, make sure that you can find a version of this SDK that works with your targeted version and that you are able to update your own code to work with this new version of the library.
- Join our Matrix channel at `#garage:deuxfleurs.fr`, say that you are interested by this SDK, and report any friction.
- If stability is critical, mirror this repository on your own infrastructure, regenerate the SDKs and upgrade them at your own pace.
## About the APIs
Code can interact with Garage through 3 different APIs: S3, K2V, and Admin.
Each of them has a specific scope.
### S3
De-facto standard, introduced by Amazon, designed to store blobs of data.
### K2V
A simple database API similar to RiakKV or DynamoDB.
Think a key value store with some additional operations.
Its design is inspired by Distributed Hash Tables (DHT).
More information:
- [In the reference manual](@/documentation/reference-manual/k2v.md)
### Administration
Garage operations can also be automated through a REST API.
We are currently building this SDK for [Python](@/documentation/build/python.md#admin-api), [Javascript](@/documentation/build/javascript.md#administration) and [Golang](@/documentation/build/golang.md#administration).
More information:
- [In the reference manual](@/documentation/reference-manual/admin-api.md)
- [Full specifiction](https://garagehq.deuxfleurs.fr/api/garage-admin-v0.html)

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title = "Golang"
weight = 30
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## S3
*Coming soon*
Some refs:
- Minio minio-go-sdk
- [Reference](https://docs.min.io/docs/golang-client-api-reference.html)
- Amazon aws-sdk-go-v2
- [Installation](https://aws.github.io/aws-sdk-go-v2/docs/getting-started/)
- [Reference](https://pkg.go.dev/github.com/aws/aws-sdk-go-v2/service/s3)
- [Example](https://aws.github.io/aws-sdk-go-v2/docs/code-examples/s3/putobject/)
## K2V
*Coming soon*
## Administration
Install the SDK with:
```bash
go get git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-golang
```
A short example:
```go
package main
import (
"context"
"fmt"
"os"
garage "git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-golang"
)
func main() {
// Set Host and other parameters
configuration := garage.NewConfiguration()
configuration.Host = "127.0.0.1:3903"
// We can now generate a client
client := garage.NewAPIClient(configuration)
// Authentication is handled through the context pattern
ctx := context.WithValue(context.Background(), garage.ContextAccessToken, "s3cr3t")
// Send a request
resp, r, err := client.NodesApi.GetNodes(ctx).Execute()
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `NodesApi.GetNodes``: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
// Process the response
fmt.Fprintf(os.Stdout, "Target hostname: %v\n", resp.KnownNodes[resp.Node].Hostname)
}
```
See also:
- [generated doc](https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-golang)
- [examples](https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-generator/src/branch/main/example/golang)

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title = "Javascript"
weight = 10
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## S3
*Coming soon*.
Some refs:
- Minio SDK
- [Reference](https://docs.min.io/docs/javascript-client-api-reference.html)
- Amazon aws-sdk-js
- [Installation](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/getting-started.html)
- [Reference](https://docs.aws.amazon.com/AWSJavaScriptSDK/latest/AWS/S3.html)
- [Example](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/s3-example-creating-buckets.html)
## K2V
*Coming soon*
## Administration
Install the SDK with:
```bash
npm install --save git+https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-js.git
```
A short example:
```javascript
const garage = require('garage_administration_api_v0garage_v0_8_0');
const api = new garage.ApiClient("http://127.0.0.1:3903/v0");
api.authentications['bearerAuth'].accessToken = "s3cr3t";
const [node, layout, key, bucket] = [
new garage.NodesApi(api),
new garage.LayoutApi(api),
new garage.KeyApi(api),
new garage.BucketApi(api),
];
node.getNodes().then((data) => {
console.log(`nodes: ${Object.values(data.knownNodes).map(n => n.hostname)}`)
}, (error) => {
console.error(error);
});
```
See also:
- [sdk repository](https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-js)
- [examples](https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-generator/src/branch/main/example/javascript)

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title = "Others"
weight = 99
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## S3
If you are developping a new application, you may want to use Garage to store your user's media.
The S3 API that Garage uses is a standard REST API, so as long as you can make HTTP requests,
you can query it. You can check the [S3 REST API Reference](https://docs.aws.amazon.com/AmazonS3/latest/API/API_Operations_Amazon_Simple_Storage_Service.html) from Amazon to learn more.
Developping your own wrapper around the REST API is time consuming and complicated.
Instead, there are some libraries already avalaible.
Some of them are maintained by Amazon, some by Minio, others by the community.
### PHP
- Amazon aws-sdk-php
- [Installation](https://docs.aws.amazon.com/sdk-for-php/v3/developer-guide/getting-started_installation.html)
- [Reference](https://docs.aws.amazon.com/aws-sdk-php/v3/api/api-s3-2006-03-01.html)
- [Example](https://docs.aws.amazon.com/sdk-for-php/v3/developer-guide/s3-examples-creating-buckets.html)
### Java
- Minio SDK
- [Reference](https://docs.min.io/docs/java-client-api-reference.html)
- Amazon aws-sdk-java
- [Installation](https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html)
- [Reference](https://sdk.amazonaws.com/java/api/latest/software/amazon/awssdk/services/s3/S3Client.html)
- [Example](https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/examples-s3-objects.html)
### .NET
- Minio SDK
- [Reference](https://docs.min.io/docs/dotnet-client-api-reference.html)
- Amazon aws-dotnet-sdk
### C++
- Amazon aws-cpp-sdk
### Haskell
- Minio SDK
- [Reference](https://docs.min.io/docs/haskell-client-api-reference.html)

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title = "Python"
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## S3
### Using Minio SDK
First install the SDK:
```bash
pip3 install minio
```
Then instantiate a client object using garage root domain, api key and secret:
```python
import minio
client = minio.Minio(
"your.domain.tld",
"GKyourapikey",
"abcd[...]1234",
# Force the region, this is specific to garage
region="region",
)
```
Then use all the standard S3 endpoints as implemented by the Minio SDK:
```
# List buckets
print(client.list_buckets())
# Put an object containing 'content' to /path in bucket named 'bucket':
content = b"content"
client.put_object(
"bucket",
"path",
io.BytesIO(content),
len(content),
)
# Read the object back and check contents
data = client.get_object("bucket", "path").read()
assert data == content
```
For further documentation, see the Minio SDK
[Reference](https://docs.min.io/docs/python-client-api-reference.html)
### Using Amazon boto3
*Coming soon*
See the official documentation:
- [Installation](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/quickstart.html)
- [Reference](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3.html)
- [Example](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/s3-uploading-files.html)
## K2V
*Coming soon*
## Admin API
You need at least Python 3.6, pip, and setuptools.
Because the python package is in a subfolder, the command is a bit more complicated than usual:
```bash
pip3 install --user 'git+https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-python'
```
Now, let imagine you have a fresh Garage instance running on localhost, with the admin API configured on port 3903 with the bearer `s3cr3t`:
```python
import garage_admin_sdk
from garage_admin_sdk.apis import *
from garage_admin_sdk.models import *
configuration = garage_admin_sdk.Configuration(
host = "http://localhost:3903/v0",
access_token = "s3cr3t"
)
# Init APIs
api = garage_admin_sdk.ApiClient(configuration)
nodes, layout, keys, buckets = NodesApi(api), LayoutApi(api), KeyApi(api), BucketApi(api)
# Display some info on the node
status = nodes.get_nodes()
print(f"running garage {status.garage_version}, node_id {status.node}")
# Change layout of this node
current = layout.get_layout()
layout.add_layout({
status.node: NodeClusterInfo(
zone = "dc1",
capacity = 1,
tags = [ "dev" ],
)
})
layout.apply_layout(LayoutVersion(
version = current.version + 1
))
# Create key, allow it to create buckets
kinfo = keys.add_key(AddKeyRequest(name="openapi"))
allow_create = UpdateKeyRequestAllow(create_bucket=True)
keys.update_key(kinfo.access_key_id, UpdateKeyRequest(allow=allow_create))
# Create a bucket, allow key, set quotas
binfo = buckets.create_bucket(CreateBucketRequest(global_alias="documentation"))
binfo = buckets.allow_bucket_key(AllowBucketKeyRequest(
bucket_id=binfo.id,
access_key_id=kinfo.access_key_id,
permissions=AllowBucketKeyRequestPermissions(read=True, write=True, owner=True),
))
binfo = buckets.update_bucket(binfo.id, UpdateBucketRequest(
quotas=UpdateBucketRequestQuotas(max_size=19029801,max_objects=1500)))
# Display key
print(f"""
cluster ready
key id is {kinfo.access_key_id}
secret key is {kinfo.secret_access_key}
bucket {binfo.global_aliases[0]} contains {binfo.objects}/{binfo.quotas.max_objects} objects
""")
```
*This example is named `short.py` in the example folder. Other python examples are also available.*
See also:
- [sdk repo](https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-python)
- [examples](https://git.deuxfleurs.fr/garage-sdk/garage-admin-sdk-generator/src/branch/main/example/python)

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title = "Rust"
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## S3
*Coming soon*
Some refs:
- Amazon aws-rust-sdk
- [Github](https://github.com/awslabs/aws-sdk-rust)
## K2V
*Coming soon*
Some refs: https://git.deuxfleurs.fr/Deuxfleurs/garage/src/branch/main/src/k2v-client
```bash
# all these values can be provided on the cli instead
export AWS_ACCESS_KEY_ID=GK123456
export AWS_SECRET_ACCESS_KEY=0123..789
export AWS_REGION=garage
export K2V_ENDPOINT=http://172.30.2.1:3903
export K2V_BUCKET=my-bucket
cargo run --features=cli -- read-range my-partition-key --all
cargo run --features=cli -- insert my-partition-key my-sort-key --text "my string1"
cargo run --features=cli -- insert my-partition-key my-sort-key --text "my string2"
cargo run --features=cli -- insert my-partition-key my-sort-key2 --text "my string"
cargo run --features=cli -- read-range my-partition-key --all
causality=$(cargo run --features=cli -- read my-partition-key my-sort-key2 -b | head -n1)
cargo run --features=cli -- delete my-partition-key my-sort-key2 -c $causality
causality=$(cargo run --features=cli -- read my-partition-key my-sort-key -b | head -n1)
cargo run --features=cli -- insert my-partition-key my-sort-key --text "my string3" -c $causality
cargo run --features=cli -- read-range my-partition-key --all
```
## Admin API
*Coming soon*

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Garage implements the Amazon S3 protocol, which makes it compatible with many existing software programs.
In particular, you will find here instructions to connect it with:
- [Browsing tools](@/documentation/connect/cli.md)
- [Applications](@/documentation/connect/apps/index.md)
- [Website hosting](@/documentation/connect/websites.md)
- [Software repositories](@/documentation/connect/repositories.md)
- [FUSE](@/documentation/connect/fs.md)
### Generic instructions
To configure S3-compatible software to interact with Garage,
you will need the following parameters:
- An **API endpoint**: this corresponds to the HTTP or HTTPS address
used to contact the Garage server. When runing Garage locally this will usually
be `http://127.0.0.1:3900`. In a real-world setting, you would usually have a reverse-proxy
that adds TLS support and makes your Garage server available under a public hostname
such as `https://garage.example.com`.
- An **API access key** and its associated **secret key**. These usually look something
like this: `GK3515373e4c851ebaad366558` (access key),
`7d37d093435a41f2aab8f13c19ba067d9776c90215f56614adad6ece597dbb34` (secret key).
These keys are created and managed using the `garage` CLI, as explained in the
[quick start](@/documentation/quick-start/_index.md) guide.
Most S3 clients can be configured easily with these parameters,
provided that you follow the following guidelines:
- **Be careful to DNS-style/path-style access:** Garage supports both DNS-style buckets, which are now by default
on Amazon S3, and legacy path-style buckets. If you use a reverse proxy in front of Garage,
make sure that you configured it to support the access-style required by the software you want to use.
- **Configuring the S3 region:** Garage requires your client to talk to the correct "S3 region",
which is set in the configuration file. This is often set just to `garage`.
If this is not configured explicitly, clients usually try to talk to region `us-east-1`.
Garage should normally redirect your client to the correct region,
but in case your client does not support this you might have to configure it manually.

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In this section, we cover the following web applications:
| Name | Status | Note |
|------|--------|------|
| [Nextcloud](#nextcloud) | ✅ | Both Primary Storage and External Storage are supported |
| [Peertube](#peertube) | ✅ | Supported with the website endpoint, proxifying private videos unsupported |
| [Mastodon](#mastodon) | ✅ | Natively supported |
| [Matrix](#matrix) | ✅ | Tested with `synapse-s3-storage-provider` |
| [Pixelfed](#pixelfed) | ❓ | Not yet tested |
| [Pleroma](#pleroma) | ❓ | Not yet tested |
| [Lemmy](#lemmy) | ❓ | Not yet tested |
| [Funkwhale](#funkwhale) | ❓ | Not yet tested |
| [Misskey](#misskey) | ❓ | Not yet tested |
| [Prismo](#prismo) | ❓ | Not yet tested |
| [Owncloud OCIS](#owncloud-infinite-scale-ocis) | ❓| Not yet tested |
## Nextcloud
Nextcloud is a popular file synchronisation and backup service.
By default, Nextcloud stores its data on the local filesystem.
If you want to expand your storage to aggregate multiple servers, Garage is the way to go.
A S3 backend can be configured in two ways on Nextcloud, either as Primary Storage or as an External Storage.
Primary storage will store all your data on S3, in an opaque manner, and will provide the best performances.
External storage enable you to select which data will be stored on S3, your file hierarchy will be preserved in S3, but it might be slower.
In the following, we cover both methods but before reading our guide, we suppose you have done some preliminary steps.
First, we expect you have an already installed and configured Nextcloud instance.
Second, we suppose you have created a key and a bucket.
As a reminder, you can create a key for your nextcloud instance as follow:
```bash
garage key new --name nextcloud-key
```
Keep the Key ID and the Secret key in a pad, they will be needed later.
Then you can create a bucket and give read/write rights to your key on this bucket with:
```bash
garage bucket create nextcloud
garage bucket allow nextcloud --read --write --key nextcloud-key
```
### Primary Storage
Now edit your Nextcloud configuration file to enable object storage.
On my installation, the config. file is located at the following path: `/var/www/nextcloud/config/config.php`.
We will add a new root key to the `$CONFIG` dictionnary named `objectstore`:
```php
<?php
$CONFIG = array(
/* your existing configuration */
'objectstore' => [
'class' => '\\OC\\Files\\ObjectStore\\S3',
'arguments' => [
'bucket' => 'nextcloud', // Your bucket name, must be created before
'autocreate' => false, // Garage does not support autocreate
'key' => 'xxxxxxxxx', // The Key ID generated previously
'secret' => 'xxxxxxxxx', // The Secret key generated previously
'hostname' => '127.0.0.1', // Can also be a domain name, eg. garage.example.com
'port' => 3900, // Put your reverse proxy port or your S3 API port
'use_ssl' => false, // Set it to true if you have a TLS enabled reverse proxy
'region' => 'garage', // Garage has only one region named "garage"
'use_path_style' => true // Garage supports only path style, must be set to true
],
],
```
That's all, your Nextcloud will store all your data to S3.
To test your new configuration, just reload your Nextcloud webpage and start sending data.
*External link:* [Nextcloud Documentation > Primary Storage](https://docs.nextcloud.com/server/latest/admin_manual/configuration_files/primary_storage.html)
### External Storage
**From the GUI.** Activate the "External storage support" app from the "Applications" page (click on your account icon on the top right corner of your screen to display the menu). Go to your parameters page (also located below your account icon). Click on external storage (or the corresponding translation in your language).
[![Screenshot of the External Storage form](cli-nextcloud-gui.png)](cli-nextcloud-gui.png)
*Click on the picture to zoom*
Add a new external storage. Put what you want in "folder name" (eg. "shared"). Select "Amazon S3". Keep "Access Key" for the Authentication field.
In Configuration, put your bucket name (eg. nextcloud), the host (eg. 127.0.0.1), the port (eg. 3900 or 443), the region (garage). Tick the SSL box if you have put an HTTPS proxy in front of garage. You must tick the "Path access" box and you must leave the "Legacy authentication (v2)" box empty. Put your Key ID (eg. GK...) and your Secret Key in the last two input boxes. Finally click on the tick symbol on the right of your screen.
Now go to your "Files" app and a new "linked folder" has appeared with the name you chose earlier (eg. "shared").
*External link:* [Nextcloud Documentation > External Storage Configuration GUI](https://docs.nextcloud.com/server/latest/admin_manual/configuration_files/external_storage_configuration_gui.html)
**From the CLI.** First install the external storage application:
```bash
php occ app:install files_external
```
Then add a new mount point with:
```bash
php occ files_external:create \
-c bucket=nextcloud \
-c hostname=127.0.0.1 \
-c port=3900 \
-c region=garage \
-c use_ssl=false \
-c use_path_style=true \
-c legacy_auth=false \
-c key=GKxxxx \
-c secret=xxxx \
shared amazons3 amazons3::accesskey
```
Adapt the `hostname`, `port`, `use_ssl`, `key`, and `secret` entries to your configuration.
Do not change the `use_path_style` and `legacy_auth` entries, other configurations are not supported.
*External link:* [Nextcloud Documentation > occ command > files external](https://docs.nextcloud.com/server/latest/admin_manual/configuration_server/occ_command.html#files-external-label)
## Peertube
Peertube proposes a clever integration of S3 by directly exposing its endpoint instead of proxifying requests through the application.
In other words, Peertube is only responsible of the "control plane" and offload the "data plane" to Garage.
In return, this system is a bit harder to configure.
We show how it is still possible to configure Garage with Peertube, allowing you to spread the load and the bandwidth usage on the Garage cluster.
Starting from version 5.0, Peertube also supports improving the security for private videos by not exposing them directly
but relying on a single control point in the Peertube instance. This is based on S3 per-object and prefix ACL, which are not currently supported
in Garage, so this feature is unsupported. While this technically impedes security for private videos, it is not a blocking issue and could be
a reasonable trade-off for some instances.
### Create resources in Garage
Create a key for Peertube:
```bash
garage key new --name peertube-key
```
Keep the Key ID and the Secret key in a pad, they will be needed later.
We need two buckets, one for normal videos (named peertube-video) and one for webtorrent videos (named peertube-playlist).
```bash
garage bucket create peertube-video
garage bucket create peertube-playlist
```
Now we allow our key to read and write on these buckets:
```
garage bucket allow peertube-playlists --read --write --owner --key peertube-key
garage bucket allow peertube-videos --read --write --owner --key peertube-key
```
We also need to expose these buckets publicly to serve their content to users:
```bash
garage bucket website --allow peertube-playlists
garage bucket website --allow peertube-videos
```
Finally, we must allow Cross-Origin Resource Sharing (CORS).
CORS are required by your browser to allow requests triggered from the peertube website (eg. peertube.tld) to your bucket's domain (eg. peertube-videos.web.garage.tld)
```bash
export CORS='{"CORSRules":[{"AllowedHeaders":["*"],"AllowedMethods":["GET"],"AllowedOrigins":["*"]}]}'
aws --endpoint http://s3.garage.localhost s3api put-bucket-cors --bucket peertube-playlists --cors-configuration $CORS
aws --endpoint http://s3.garage.localhost s3api put-bucket-cors --bucket peertube-videos --cors-configuration $CORS
```
These buckets are now accessible on the web port (by default 3902) with the following URL: `http://<bucket><root_domain>:<web_port>` where the root domain is defined in your configuration file (by default `.web.garage`). So we have currently the following URLs:
* http://peertube-playlists.web.garage:3902
* http://peertube-videos.web.garage:3902
Make sure you (will) have a corresponding DNS entry for them.
### Configure Peertube
You must edit the file named `config/production.yaml`, we are only modifying the root key named `object_storage`:
```yaml
object_storage:
enabled: true
# Put localhost only if you have a garage instance running on that node
endpoint: 'http://localhost:3900' # or "garage.example.com" if you have TLS on port 443
# Garage supports only one region for now, named garage
region: 'garage'
credentials:
access_key_id: 'GKxxxx'
secret_access_key: 'xxxx'
max_upload_part: 2GB
proxy:
# You may enable this feature, yet it will not provide any security benefit, so
# you should rather benefit from Garage public endpoint for all videos
proxify_private_files: false
streaming_playlists:
bucket_name: 'peertube-playlist'
# Keep it empty for our example
prefix: ''
# You must fill this field to make Peertube use our reverse proxy/website logic
base_url: 'http://peertube-playlists.web.garage.localhost' # Example: 'https://mirror.example.com'
# Same settings but for webtorrent videos
videos:
bucket_name: 'peertube-video'
prefix: ''
# You must fill this field to make Peertube use our reverse proxy/website logic
base_url: 'http://peertube-videos.web.garage.localhost'
```
### That's all
Everything must be configured now, simply restart Peertube and try to upload a video.
Peertube will start by serving the video from its own domain while it is encoding.
Once the encoding is done, the video is uploaded to Garage.
You can now reload the page and see in your browser console that data are fetched directly from your bucket.
*External link:* [Peertube Documentation > Remote Storage](https://docs.joinpeertube.org/admin-remote-storage)
## Mastodon
Mastodon natively supports the S3 protocol to store media files, and it works out-of-the-box with Garage.
You will need to expose your Garage bucket as a website: that way, media files will be served directly from Garage.
### Performance considerations
Mastodon tends to store many small objects over time: expect hundreds of thousands of objects,
with average object size ranging from 50 KB to 150 KB.
As such, your Garage cluster should be configured appropriately for good performance:
- use Garage v0.8.0 or higher with the [LMDB database engine](@documentation/reference-manual/configuration.md#db-engine-since-v0-8-0).
With the default Sled database engine, your database could quickly end up taking tens of GB of disk space.
- the Garage database should be stored on a SSD
### Creating your bucket
This is the usual Garage setup:
```bash
garage key new --name mastodon-key
garage bucket create mastodon-data
garage bucket allow mastodon-data --read --write --key mastodon-key
```
Note the Key ID and Secret Key.
### Exposing your bucket as a website
Create a DNS name to serve your media files, such as `my-social-media.mydomain.tld`.
This name will be publicly exposed to the users of your Mastodon instance: they
will load images directly from this DNS name.
As [documented here](@/documentation/cookbook/exposing-websites.md),
add this DNS name as alias to your bucket, and expose it as a website:
```bash
garage bucket alias mastodon-data my-social-media.mydomain.tld
garage bucket website --allow mastodon-data
```
Then you will likely need to [setup a reverse proxy](@/documentation/cookbook/reverse-proxy.md)
in front of it to serve your media files over HTTPS.
### Cleaning up old media files before migration
Mastodon instance quickly accumulate a lot of media files from the federation.
Most of them are not strictly necessary because they can be fetched again from
other servers. As such, it is highly recommended to clean them up before
migration, this will greatly reduce the migration time.
From the [official Mastodon documentation](https://docs.joinmastodon.org/admin/tootctl/#media):
```bash
$ RAILS_ENV=production bin/tootctl media remove --days 3
$ RAILS_ENV=production bin/tootctl media remove-orphans
$ RAILS_ENV=production bin/tootctl preview_cards remove --days 15
```
Here is a typical disk usage for a small but multi-year instance after cleanup:
```bash
$ RAILS_ENV=production bin/tootctl media usage
Attachments: 5.67 GB (1.14 GB local)
Custom emoji: 295 MB (0 Bytes local)
Preview cards: 154 MB
Avatars: 3.77 GB (127 KB local)
Headers: 8.72 GB (242 KB local)
Backups: 0 Bytes
Imports: 1.7 KB
Settings: 0 Bytes
```
Unfortunately, [old avatars and headers cannot currently be cleaned up](https://github.com/mastodon/mastodon/issues/9567).
### Migrating your data
Data migration should be done with an efficient S3 client.
The [minio client](@documentation/connect/cli.md#minio-client) is a good choice
thanks to its mirror mode:
```bash
mc mirror ./public/system/ garage/mastodon-data
```
Here is a typical bucket usage after all data has been migrated:
```bash
$ garage bucket info mastodon-data
Size: 20.3 GiB (21.8 GB)
Objects: 175968
```
### Configuring Mastodon
In your `.env.production` configuration file:
```bash
S3_ENABLED=true
# Internal access to Garage
S3_ENDPOINT=http://my-garage-instance.mydomain.tld:3900
S3_REGION=garage
S3_BUCKET=mastodon-data
# Change this (Key ID and Secret Key of your Garage key)
AWS_ACCESS_KEY_ID=GKe88df__CHANGETHIS__c5145
AWS_SECRET_ACCESS_KEY=a2f7__CHANGETHIS__77fcfcf7a58f47a4aa4431f2e675c56da37821a1070000
# What name gets exposed to users (HTTPS is implicit)
S3_ALIAS_HOST=my-social-media.mydomain.tld
```
For more details, see the [reference Mastodon documentation](https://docs.joinmastodon.org/admin/config/#cdn).
Restart all Mastodon services and everything should now be using Garage!
You can check the URLs of images in the Mastodon web client, they should start
with `https://my-social-media.mydomain.tld`.
### Last migration sync
After Mastodon is successfully using Garage, you can run a last sync from the local filesystem to Garage:
```bash
mc mirror --newer-than "3h" ./public/system/ garage/mastodon-data
```
### References
[cybrespace's guide to migrate to S3](https://github.com/cybrespace/cybrespace-meta/blob/master/s3.md)
(the guide is for Amazon S3, so the configuration is a bit different, but the rest is similar)
## Matrix
Matrix is a chat communication protocol. Its main stable server implementation, [Synapse](https://matrix-org.github.io/synapse/latest/), provides a module to store media on a S3 backend. Additionally, a server independent media store supporting S3 has been developped by the community, it has been made possible thanks to how the matrix API has been designed and will work with implementations like Conduit, Dendrite, etc.
### synapse-s3-storage-provider (synapse only)
Supposing you have a working synapse installation, you can add the module with pip:
```bash
pip3 install --user git+https://github.com/matrix-org/synapse-s3-storage-provider.git
```
Now create a bucket and a key for your matrix instance (note your Key ID and Secret Key somewhere, they will be needed later):
```bash
garage key new --name matrix-key
garage bucket create matrix
garage bucket allow matrix --read --write --key matrix-key
```
Then you must edit your server configuration (eg. `/etc/matrix-synapse/homeserver.yaml`) and add the `media_storage_providers` root key:
```yaml
media_storage_providers:
- module: s3_storage_provider.S3StorageProviderBackend
store_local: True # do we want to store on S3 media created by our users?
store_remote: True # do we want to store on S3 media created
# by users of others servers federated to ours?
store_synchronous: True # do we want to wait that the file has been written before returning?
config:
bucket: matrix # the name of our bucket, we chose matrix earlier
region_name: garage # only "garage" is supported for the region field
endpoint_url: http://localhost:3900 # the path to the S3 endpoint
access_key_id: "GKxxx" # your Key ID
secret_access_key: "xxxx" # your Secret Key
```
Note that uploaded media will also be stored locally and this behavior can not be deactivated, it is even required for
some operations like resizing images.
In fact, your local filesysem is considered as a cache but without any automated way to garbage collect it.
We can build our garbage collector with `s3_media_upload`, a tool provided with the module.
If you installed the module with the command provided before, you should be able to bring it in your path:
```
PATH=$HOME/.local/bin/:$PATH
command -v s3_media_upload
```
Now we can write a simple script (eg `~/.local/bin/matrix-cache-gc`):
```bash
#!/bin/bash
## CONFIGURATION ##
AWS_ACCESS_KEY_ID=GKxxx
AWS_SECRET_ACCESS_KEY=xxxx
S3_ENDPOINT=http://localhost:3900
S3_BUCKET=matrix
MEDIA_STORE=/var/lib/matrix-synapse/media
PG_USER=matrix
PG_PASS=xxxx
PG_DB=synapse
PG_HOST=localhost
PG_PORT=5432
## CODE ##
PATH=$HOME/.local/bin/:$PATH
cat > database.yaml <<EOF
user: $PG_USER
password: $PG_PASS
database: $PG_DB
host: $PG_HOST
port: $PG_PORT
EOF
s3_media_upload update-db 1d
s3_media_upload --no-progress check-deleted $MEDIA_STORE
s3_media_upload --no-progress upload $MEDIA_STORE $S3_BUCKET --delete --endpoint-url $S3_ENDPOINT
```
This script will list all the medias that were not accessed in the 24 hours according to your database.
It will check if, in this list, the file still exists in the local media store.
For files that are still in the cache, it will upload them to S3 if they are not already present (in case of a crash or an initial synchronisation).
Finally, the script will delete these files from the cache.
Make this script executable and check that it works:
```bash
chmod +x $HOME/.local/bin/matrix-cache-gc
matrix-cache-gc
```
Add it to your crontab. Open the editor with:
```bash
crontab -e
```
And add a new line. For example, to run it every 10 minutes:
```cron
*/10 * * * * $HOME/.local/bin/matrix-cache-gc
```
*External link:* [Github > matrix-org/synapse-s3-storage-provider](https://github.com/matrix-org/synapse-s3-storage-provider)
### matrix-media-repo (server independent)
*External link:* [matrix-media-repo Documentation > S3](https://docs.t2bot.io/matrix-media-repo/configuration/s3-datastore.html)
## Pixelfed
[Pixelfed Technical Documentation > Configuration](https://docs.pixelfed.org/technical-documentation/env.html#filesystem)
## Pleroma
[Pleroma Documentation > Pleroma.Uploaders.S3](https://docs-develop.pleroma.social/backend/configuration/cheatsheet/#pleromauploaderss3)
## Lemmy
Lemmy uses pict-rs that [supports S3 backends](https://git.asonix.dog/asonix/pict-rs/commit/f9f4fc63d670f357c93f24147c2ee3e1278e2d97)
## Funkwhale
[Funkwhale Documentation > S3 Storage](https://docs.funkwhale.audio/admin/configuration.html#s3-storage)
## Misskey
[Misskey Github > commit 9d94424](https://github.com/misskey-dev/misskey/commit/9d944243a3a59e8880a360cbfe30fd5a3ec8d52d)
## Prismo
[Prismo Gitlab > .env.production.sample](https://gitlab.com/prismosuite/prismo/-/blob/dev/.env.production.sample#L26-33)
## Owncloud Infinite Scale (ocis)
OCIS could be compatible with S3:
- [Deploying OCIS with S3](https://owncloud.dev/ocis/deployment/ocis_s3/)
- [OCIS 1.7 release note](https://central.owncloud.org/t/owncloud-infinite-scale-tech-preview-1-7-enables-s3-storage/32514/3)
## Unsupported
- Mobilizon: No S3 integration
- WriteFreely: No S3 integration
- Plume: No S3 integration

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title = "Backups (restic, duplicity...)"
weight = 25
+++
Backups are essential for disaster recovery but they are not trivial to manage.
Using Garage as your backup target will enable you to scale your storage as needed while ensuring high availability.
## Borg Backup
Borg Backup is very popular among the backup tools but it is not yet compatible with the S3 API.
We recommend using any other tool listed in this guide because they are all compatible with the S3 API.
If you still want to use Borg, you can use it with `rclone mount`.
## Restic
Create your key and bucket:
```bash
garage key new my-key
garage bucket create backup
garage bucket allow backup --read --write --key my-key
```
Then register your Key ID and Secret key in your environment:
```bash
export AWS_ACCESS_KEY_ID=GKxxx
export AWS_SECRET_ACCESS_KEY=xxxx
```
Configure restic from environment too:
```bash
export RESTIC_REPOSITORY="s3:http://localhost:3900/backups"
echo "Generated password (save it safely): $(openssl rand -base64 32)"
export RESTIC_PASSWORD=xxx # copy paste your generated password here
```
Do not forget to save your password safely (in your password manager or print it). It will be needed to decrypt your backups.
Now you can use restic:
```bash
# Initialize the bucket, must be run once
restic init
# Backup your PostgreSQL database
# (We suppose your PostgreSQL daemon is stopped for all commands)
restic backup /var/lib/postgresql
# Show backup history
restic snapshots
# Backup again your PostgreSQL database, it will be faster as only changes will be uploaded
restic backup /var/lib/postgresql
# Show backup history (again)
restic snapshots
# Restore a backup
# (79766175 is the ID of the snapshot you want to restore)
mv /var/lib/postgresql /var/lib/postgresql.broken
restic restore 79766175 --target /var/lib/postgresql
```
Restic has way more features than the ones presented here.
You can discover all of them by accessing its documentation from the link below.
*External links:* [Restic Documentation > Amazon S3](https://restic.readthedocs.io/en/stable/030_preparing_a_new_repo.html#amazon-s3)
## Duplicity
*External links:* [Duplicity > man](https://duplicity.gitlab.io/duplicity-web/vers8/duplicity.1.html) (scroll to "URL Format" and "A note on Amazon S3")
## Duplicati
*External links:* [Duplicati Documentation > Storage Providers](https://duplicati.readthedocs.io/en/latest/05-storage-providers/#s3-compatible)
The following fields need to be specified:
```
Storage Type: S3 Compatible
Use SSL: [ ] # Only if you have SSL
Server: Custom server url (s3.garage.localhost:3900)
Bucket name: bucket-name
Bucket create region: Custom region value (garage) # Or as you've specified in garage.toml
AWS Access ID: Key ID from "garage key info key-name"
AWS Access Key: Secret key from "garage key info key-name"
Client Library to use: Minio SDK
```
Click `Test connection` and then no when asked `The bucket name should start with your username, prepend automatically?`. Then it should say `Connection worked!`.
## knoxite
*External links:* [Knoxite Documentation > Storage Backends](https://knoxite.com/docs/storage-backends/#amazon-s3)
## kopia
*External links:* [Kopia Documentation > Repositories](https://kopia.io/docs/repositories/#amazon-s3)
To create the Kopia repository, you need to specify the region, the HTTP(S) endpoint, the bucket name and the access keys.
For instance, if you have an instance of garage running on `https://garage.example.com`:
```
kopia repository create s3 --region=garage --bucket=mybackups --access-key=KEY_ID --secret-access-key=SECRET_KEY --endpoint=garage.example.com
```
Or if you have an instance running on localhost, without TLS:
```
kopia repository create s3 --region=garage --bucket=mybackups --access-key=KEY_ID --secret-access-key=SECRET_KEY --endpoint=localhost:3900 --disable-tls
```
After the repository has been created, check that everything works as expected:
```
kopia repository validate-provider
```
You can then run all the standard kopia commands: `kopia snapshot create`, `kopia mount`...
Everything should work out-of-the-box.

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+++
title = "Browsing tools"
weight = 20
+++
Browsing tools allow you to query the S3 API without too many abstractions.
These tools are particularly suitable for debug, backups, website deployments or any scripted task that need to handle data.
| Name | Status | Note |
|------|--------|------|
| [Minio client](#minio-client) | ✅ | Recommended |
| [AWS CLI](#aws-cli) | ✅ | Recommended |
| [rclone](#rclone) | ✅ | |
| [s3cmd](#s3cmd) | ✅ | |
| [(Cyber)duck](#cyberduck) | ✅ | |
| [WinSCP (libs3)](#winscp) | ✅ | CLI instructions only |
| [sftpgo](#sftpgo) | ✅ | |
## Minio client
Use the following command to set an "alias", i.e. define a new S3 server to be
used by the Minio client:
```bash
mc alias set \
garage \
<endpoint> \
<access key> \
<secret key> \
--api S3v4
```
Remember that `mc` is sometimes called `mcli` (such as on Arch Linux), to avoid conflicts
with Midnight Commander.
Some commands:
```bash
# list buckets
mc ls garage/
# list objets in a bucket
mc ls garage/my_files
# copy from your filesystem to garage
mc cp /proc/cpuinfo garage/my_files/cpuinfo.txt
# copy from garage to your filesystem
mc cp garage/my_files/cpuinfo.txt /tmp/cpuinfo.txt
# mirror a folder from your filesystem to garage
mc mirror --overwrite ./book garage/garagehq.deuxfleurs.fr
```
## AWS CLI
Create a file named `~/.aws/credentials` and put:
```toml
[default]
aws_access_key_id=xxxx
aws_secret_access_key=xxxx
```
Then a file named `~/.aws/config` and put:
```toml
[default]
region=garage
```
Now, supposing Garage is listening on `http://127.0.0.1:3900`, you can list your buckets with:
```bash
aws --endpoint-url http://127.0.0.1:3900 s3 ls
```
Passing the `--endpoint-url` parameter to each command is annoying but AWS developers do not provide a corresponding configuration entry.
As a workaround, you can redefine the aws command by editing the file `~/.bashrc`:
```
function aws { command aws --endpoint-url http://127.0.0.1:3900 $@ ; }
```
*Do not forget to run `source ~/.bashrc` or to start a new terminal before running the next commands.*
Now you can simply run:
```bash
# list buckets
aws s3 ls
# list objects of a bucket
aws s3 ls s3://my_files
# copy from your filesystem to garage
aws s3 cp /proc/cpuinfo s3://my_files/cpuinfo.txt
# copy from garage to your filesystem
aws s3 cp s3/my_files/cpuinfo.txt /tmp/cpuinfo.txt
```
## `rclone`
`rclone` can be configured using the interactive assistant invoked using `rclone config`.
You can also configure `rclone` by writing directly its configuration file.
Here is a template `rclone.ini` configuration file (mine is located at `~/.config/rclone/rclone.conf`):
```ini
[garage]
type = s3
provider = Other
env_auth = false
access_key_id = <access key>
secret_access_key = <secret key>
region = <region>
endpoint = <endpoint>
force_path_style = true
acl = private
bucket_acl = private
```
Now you can run:
```bash
# list buckets
rclone lsd garage:
# list objects of a bucket aggregated in directories
rclone lsd garage:my-bucket
# copy from your filesystem to garage
echo hello world > /tmp/hello.txt
rclone copy /tmp/hello.txt garage:my-bucket/
# copy from garage to your filesystem
rclone copy garage:quentin.divers/hello.txt .
# see all available subcommands
rclone help
```
**Advice with rclone:** use the `--fast-list` option when accessing buckets with large amounts of objects.
This will tremendously accelerate operations such as `rclone sync` or `rclone ncdu` by reducing the number
of ListObjects calls that are made.
## `s3cmd`
Here is a template for the `s3cmd.cfg` file to talk with Garage:
```ini
[default]
access_key = <access key>
secret_key = <secret key>
host_base = <endpoint without http(s)://>
host_bucket = <same as host_base>
use_https = <False or True>
```
And use it as follow:
```bash
# List buckets
s3cmd ls
# s3cmd objects inside a bucket
s3cmd ls s3://my-bucket
# copy from your filesystem to garage
echo hello world > /tmp/hello.txt
s3cmd put /tmp/hello.txt s3://my-bucket/
# copy from garage to your filesystem
s3cmd get s3://my-bucket/hello.txt hello.txt
```
## Cyberduck & duck {#cyberduck}
Both Cyberduck (the GUI) and duck (the CLI) have a concept of "Connection Profiles" that contain some presets for a specific provider.
We wrote the following connection profile for Garage:
```xml
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>Protocol</key>
<string>s3</string>
<key>Vendor</key>
<string>garage</string>
<key>Scheme</key>
<string>https</string>
<key>Description</key>
<string>GarageS3</string>
<key>Default Hostname</key>
<string>127.0.0.1</string>
<key>Default Port</key>
<string>4443</string>
<key>Hostname Configurable</key>
<false/>
<key>Port Configurable</key>
<false/>
<key>Username Configurable</key>
<true/>
<key>Username Placeholder</key>
<string>Access Key ID (GK...)</string>
<key>Password Placeholder</key>
<string>Secret Key</string>
<key>Properties</key>
<array>
<string>s3service.disable-dns-buckets=true</string>
</array>
<key>Region</key>
<string>garage</string>
<key>Regions</key>
<array>
<string>garage</string>
</array>
</dict>
</plist>
```
*Note: If your garage instance is configured with vhost access style, you can remove `s3service.disable-dns-buckets=true`.*
### Instructions for the GUI
Copy the connection profile, and save it anywhere as `garage.cyberduckprofile`.
Then find this file with your file explorer and double click on it: Cyberduck will open a connection wizard for this profile.
Simply follow the wizard and you should be done!
### Instuctions for the CLI
To configure duck (Cyberduck's CLI tool), start by creating its folder hierarchy:
```
mkdir -p ~/.duck/profiles/
```
Then, save the connection profile for Garage in `~/.duck/profiles/garage.cyberduckprofile`.
To set your credentials in `~/.duck/credentials`, use the following commands to generate the appropriate string:
```bash
export AWS_ACCESS_KEY_ID="GK..."
export AWS_SECRET_ACCESS_KEY="..."
export HOST="s3.garage.localhost"
export PORT="4443"
export PROTOCOL="https"
cat > ~/.duck/credentials <<EOF
$PROTOCOL\://$AWS_ACCESS_KEY_ID@$HOST\:$PORT=$AWS_SECRET_ACCESS_KEY
EOF
```
And finally, I recommend appending a small wrapper to your `~/.bashrc` to avoid setting the username on each command (do not forget to replace `GK...` by your access key):
```bash
function duck { command duck --username GK... $@ ; }
```
Finally, you can then use `duck` as follow:
```bash
# List buckets
duck --list garage:/
# List objects in a bucket
duck --list garage:/my-files/
# Download an object
duck --download garage:/my-files/an-object.txt /tmp/object.txt
# Upload an object
duck --upload /tmp/object.txt garage:/my-files/another-object.txt
# Delete an object
duck --delete garage:/my-files/an-object.txt
```
## WinSCP (libs3) {#winscp}
*You can find instructions on how to use the GUI in french [in our wiki](https://wiki.deuxfleurs.fr/fr/Guide/Garage/WinSCP).*
How to use `winscp.com`, the CLI interface of WinSCP:
```
open s3://GKxxxxx:yyyyyyy@127.0.0.1:4443 -certificate=* -rawsettings S3DefaultRegion=garage S3UrlStyle=1
ls
ls my-files/
get my-files/an-object.txt Z:\tmp\object.txt
put Z:\tmp\object.txt my-files/another-object.txt
rm my-files/an-object
exit
```
Notes:
- It seems WinSCP supports only TLS connections for S3
- `-certificate=*` allows self-signed certificates, remove it if you have valid certificates
## sftpgo {#sftpgo}
sftpgo needs a database to work, by default it uses sqlite and does not require additional configuration.
You can then directly init it:
```
sftpgo initprovider
```
Then you can directly launch the daemon that will listen by default on `:8080 (http)` and `:2022 (ssh)`:
```
sftpgo serve
```
Go to the admin web interface (http://[::1]:8080/web/admin/), create the required admin account, then create a user account.
Choose a username (eg: `ada`) and a password.
In the filesystem section, choose:
- Storage: AWS S3 (Compatible)
- Bucket: *your bucket name*
- Region: `garage` (or the one you defined in `config.toml`)
- Access key: *your access key*
- Access secret: *your secret key*
- Endpoint: *your endpoint*, eg. `https://garage.example.tld`, note that the protocol (`https` here) must be specified. Non standard ports and `http` have not been tested yet.
- Keep the default values for other fields
- Tick "Use path-style addressing". It should work without ticking it if you have correctly configured your instance to use URL vhost-style.
Now you can access your bucket through SFTP:
```
sftp -P2022 ada@[::1]
ls
```
And through the web interface at http://[::1]:8080/web/client

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title = "FUSE (s3fs, goofys, s3backer...)"
weight = 25
+++
**WARNING! Garage is not POSIX compatible.
Mounting S3 buckets as filesystems will not provide POSIX compatibility.
If you are not careful, you will lose or corrupt your data.**
Do not use these FUSE filesystems to store any database files (eg. MySQL, Postgresql, Mongo or sqlite),
any daemon cache (dovecot, openldap, gitea, etc.),
and more generally any software that use locking, advanced filesystems features or make any synchronisation assumption.
Ideally, avoid these solutions at all for any serious or production use.
## rclone mount
rclone uses the same configuration when used [in CLI](@/documentation/connect/cli.md) and mount mode.
We suppose you have the following entry in your `rclone.ini` (mine is located in `~/.config/rclone/rclone.conf`):
```toml
[garage]
type = s3
provider = Other
env_auth = false
access_key_id = <access key>
secret_access_key = <secret key>
region = <region>
endpoint = <endpoint>
force_path_style = true
acl = private
bucket_acl = private
```
Then you can mount and access any bucket as follow:
```bash
# mount the bucket
mkdir /tmp/my-bucket
rclone mount --daemon garage:my-bucket /tmp/my-bucket
# set your working directory to the bucket
cd /tmp/my-bucket
# create a file
echo hello world > hello.txt
# access the file
cat hello.txt
# unmount the bucket
cd
fusermount -u /tmp/my-bucket
```
*External link:* [rclone documentation > rclone mount](https://rclone.org/commands/rclone_mount/)
## s3fs
*External link:* [s3fs github > README.md](https://github.com/s3fs-fuse/s3fs-fuse#user-content-examples)
## goofys
*External link:* [goofys github > README.md](https://github.com/kahing/goofys#user-content-usage)
## s3backer
*External link:* [s3backer github > manpage](https://github.com/archiecobbs/s3backer/wiki/ManPage)
## csi-s3
*External link:* [csi-s3 Github > README.md](https://github.com/ctrox/csi-s3)

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+++
title = "Repositories (Docker, Nix, Git...)"
weight = 15
+++
Whether you need to store and serve binary packages or source code, you may want to deploy a tool referred as a repository or registry.
Garage can also help you serve this content.
| Name | Status | Note |
|------|--------|------|
| [Gitea](#gitea) | ✅ | |
| [Docker](#docker) | ✅ | Requires garage >= v0.6.0 |
| [Nix](#nix) | ✅ | |
| [Gitlab](#gitlab) | ❓ | Not yet tested |
## Gitea
You can use Garage with Gitea to store your [git LFS](https://git-lfs.github.com/) data, your users' avatar, and their attachements.
You can configure a different target for each data type (check `[lfs]` and `[attachment]` sections of the Gitea documentation) and you can provide a default one through the `[storage]` section.
Let's start by creating a key and a bucket (your key id and secret will be needed later, keep them somewhere):
```bash
garage key new --name gitea-key
garage bucket create gitea
garage bucket allow gitea --read --write --key gitea-key
```
Then you can edit your configuration (by default `/etc/gitea/conf/app.ini`):
```ini
[storage]
STORAGE_TYPE=minio
MINIO_ENDPOINT=localhost:3900
MINIO_ACCESS_KEY_ID=GKxxx
MINIO_SECRET_ACCESS_KEY=xxxx
MINIO_BUCKET=gitea
MINIO_LOCATION=garage
MINIO_USE_SSL=false
```
You can also pass this configuration through environment variables:
```bash
GITEA__storage__STORAGE_TYPE=minio
GITEA__storage__MINIO_ENDPOINT=localhost:3900
GITEA__storage__MINIO_ACCESS_KEY_ID=GKxxx
GITEA__storage__MINIO_SECRET_ACCESS_KEY=xxxx
GITEA__storage__MINIO_BUCKET=gitea
GITEA__storage__MINIO_LOCATION=garage
GITEA__storage__MINIO_USE_SSL=false
```
Then restart your gitea instance and try to upload a custom avatar.
If it worked, you should see some content in your gitea bucket (you must configure your `aws` command before):
```
$ aws s3 ls s3://gitea/avatars/
2021-11-10 12:35:47 190034 616ba79ae2b84f565c33d72c2ec50861
```
*External link:* [Gitea Documentation > Configuration Cheat Sheet](https://docs.gitea.io/en-us/config-cheat-sheet/)
## Docker
Create a bucket and a key for your docker registry, then create `config.yml` with the following content:
```yml
version: 0.1
http:
addr: 0.0.0.0:5000
secret: asecretforlocaldevelopment
debug:
addr: localhost:5001
storage:
s3:
accesskey: GKxxxx
secretkey: yyyyy
region: garage
regionendpoint: http://localhost:3900
bucket: docker
secure: false
v4auth: true
rootdirectory: /
```
Replace the `accesskey`, `secretkey`, `bucket`, `regionendpoint` and `secure` values by the one fitting your deployment.
Then simply run the docker registry:
```bash
docker run \
--net=host \
-v `pwd`/config.yml:/etc/docker/registry/config.yml \
registry:2
```
*We started a plain text registry but docker clients require encrypted registries. You must either [setup TLS](https://docs.docker.com/registry/deploying/#run-an-externally-accessible-registry) on your registry or add `--insecure-registry=localhost:5000` to your docker daemon parameters.*
*External link:* [Docker Documentation > Registry storage drivers > S3 storage driver](https://docs.docker.com/registry/storage-drivers/s3/)
## Nix
Nix has no repository in its terminology: instead, it breaks down this concept in 2 parts: binary cache and channel.
**A channel** is a set of `.nix` definitions that generate definitions for all the software you want to serve.
Because we do not want all our clients to compile all these derivations by themselves,
we can compile them once and then serve them as part of our **binary cache**.
It is possible to use a **binary cache** without a channel, you only need to serve your nix definitions
through another support, like a git repository.
As a first step, we will need to create a bucket on Garage and enabling website access on it:
```bash
garage key new --name nix-key
garage bucket create nix.example.com
garage bucket allow nix.example.com --read --write --key nix-key
garage bucket website nix.example.com --allow
```
If you need more information about exposing buckets as websites on Garage,
check [Exposing buckets as websites](@/documentation/cookbook/exposing-websites.md)
and [Configuring a reverse proxy](@/documentation/cookbook/reverse-proxy.md).
Next, we want to check that our bucket works:
```bash
echo nix repo > /tmp/index.html
mc cp /tmp/index.html garage/nix/
rm /tmp/index.html
curl https://nix.example.com
# output: nix repo
```
### Binary cache
To serve binaries as part of your cache, you need to sign them with a key specific to nix.
You can generate the keypair as follow:
```bash
nix-store --generate-binary-cache-key <name> cache-priv-key.pem cache-pub-key.pem
```
You can then manually sign the packages of your store with the following command:
```bash
nix sign-paths --all -k cache-priv-key.pem
```
Setting a key in `nix.conf` will do the signature at build time automatically without additional commands.
Edit the `nix.conf` of your builder:
```toml
secret-key-files = /etc/nix/cache-priv-key.pem
```
Now that your content is signed, you can copy a derivation to your cache.
For example, if you want to copy a specific derivation of your store:
```bash
nix copy /nix/store/wadmyilr414n7bimxysbny876i2vlm5r-bash-5.1-p8 --to 's3://nix?endpoint=garage.example.com&region=garage'
```
*Note that if you have not signed your packages, you can append to the end of your S3 URL `&secret-key=/etc/nix/cache-priv-key.pem`.*
Sometimes you don't want to hardcode this store path in your script.
Let suppose that you are working on a codebase that you build with `nix-build`, you can then run:
```bash
nix copy $(nix-build) --to 's3://nix?endpoint=garage.example.com&region=garage'
```
*This command works because the only thing that `nix-build` outputs on stdout is the paths of the built derivations in your nix store.*
You can include your derivation dependencies:
```bash
nix copy $(nix-store -qR $(nix-build)) --to 's3://nix?endpoint=garage.example.com&region=garage'
```
Now, your binary cache stores your derivation and all its dependencies.
Just inform your users that they must update their `nix.conf` file with the following lines:
```toml
substituters = https://cache.nixos.org https://nix.example.com
trusted-public-keys = cache.nixos.org-1:6NCHdD59X431o0gWypbMrAURkbJ16ZPMQFGspcDShjY= nix.example.com:eTGL6kvaQn6cDR/F9lDYUIP9nCVR/kkshYfLDJf1yKs=
```
*You must re-add cache.nixorg.org because redeclaring these keys override the previous configuration instead of extending it.*
Now, when your clients will run `nix-build` or any command that generates a derivation for which a hash is already present
on the binary cache, the client will download the result from the cache instead of compiling it, saving lot of time and CPU!
### Channels
Channels additionnaly serve Nix definitions, ie. a `.nix` file referencing
all the derivations you want to serve.
## Gitlab
*External link:* [Gitlab Documentation > Object storage](https://docs.gitlab.com/ee/administration/object_storage.html)

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title = "Websites (Hugo, Jekyll, Publii...)"
weight = 10
+++
Garage is also suitable [to host static websites](@/documentation/cookbook/exposing-websites.md).
While they can be deployed with traditional CLI tools, some static website generators have integrated options to ease your workflow.
| Name | Status | Note |
|------|--------|------|
| [Hugo](#hugo) | ✅ | Publishing logic is integrated in the tool |
| [Publii](#publii) | ✅ | Require a correctly configured s3 vhost endpoint |
| [Generic Static Site Generator](#generic-static-site-generator) | ✅ | Works for Jekyll, Zola, Gatsby, Pelican, etc. |
## Hugo
Add to your `config.toml` the following section:
```toml
[[deployment.targets]]
URL = "s3://<bucket>?endpoint=<endpoint>&disableSSL=<bool>&s3ForcePathStyle=true&region=garage"
```
For example:
```toml
[[deployment.targets]]
URL = "s3://my-blog?endpoint=localhost:9000&disableSSL=true&s3ForcePathStyle=true&region=garage"
```
Then inform hugo of your credentials:
```bash
export AWS_ACCESS_KEY_ID=GKxxx
export AWS_SECRET_ACCESS_KEY=xxx
```
And finally build and deploy your website:
```bsh
hugo
hugo deploy
```
*External links:*
- [gocloud.dev > aws > Supported URL parameters](https://pkg.go.dev/gocloud.dev/aws?utm_source=godoc#ConfigFromURLParams)
- [Hugo Documentation > hugo deploy](https://gohugo.io/hosting-and-deployment/hugo-deploy/)
## Publii
[![A screenshot of Publii's GUI](./publii.png)](./publii.png)
Deploying a website to Garage from Publii is natively supported.
First, make sure that your Garage administrator allowed and configured Garage to support vhost access style.
We also suppose that your bucket ("my-bucket") and key is already created and configured.
Then, from the left menu, click on server. Choose "S3" as the protocol.
In the configuration window, enter:
- Your finale website URL (eg. "http://my-bucket.web.garage.localhost:3902")
- Tick "Use a custom S3 provider"
- Set the S3 endpoint, (eg. "http://s3.garage.localhost:3900")
- Then put your access key (eg. "GK..."), your secret key, and your bucket (eg. "my-bucket")
- And hit the button "Save settings"
Now, each time you want to publish your website from Publii, just hit the bottom left button "Sync your website"!
## Generic Static Site Generator
Some tools do not support sending to a S3 backend but output a compiled folder on your system.
We can then use any CLI tool to upload this content to our S3 target.
First, start by [configuring minio client](@/documentation/connect/cli.md#minio-client).
Then build your website (example for jekyll):
```bash
jekyll build
```
And copy its output folder (`_site` for Jekyll) on S3:
```bash
mc mirror --overwrite _site garage/my-site
```

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@ -1,31 +0,0 @@
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title="Cookbook"
template = "documentation.html"
weight = 2
sort_by = "weight"
+++
A cookbook, when you cook, is a collection of recipes.
Similarly, Garage's cookbook contains a collection of recipes that are known to works well!
This chapter could also be referred as "Tutorials" or "Best practices".
- **[Multi-node deployment](@/documentation/cookbook/real-world.md):** This page will walk you through all of the necessary
steps to deploy Garage in a real-world setting.
- **[Building from source](@/documentation/cookbook/from-source.md):** This page explains how to build Garage from
source in case a binary is not provided for your architecture, or if you want to
hack with us!
- **[Integration with Systemd](@/documentation/cookbook/systemd.md):** This page explains how to run Garage
as a Systemd service (instead of as a Docker container).
- **[Configuring a gateway node](@/documentation/cookbook/gateways.md):** This page explains how to run a gateway node in a Garage cluster, i.e. a Garage node that doesn't store data but accelerates access to data present on the other nodes.
- **[Hosting a website](@/documentation/cookbook/exposing-websites.md):** This page explains how to use Garage
to host a static website.
- **[Configuring a reverse-proxy](@/documentation/cookbook/reverse-proxy.md):** This page explains how to configure a reverse-proxy to add TLS support to your S3 api endpoint.
- **[Recovering from failures](@/documentation/cookbook/recovering.md):** Garage's first selling point is resilience
to hardware failures. This section explains how to recover from such a failure in the
best possible way.

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title = "Exposing buckets as websites"
weight = 25
+++
## Configuring a bucket for website access
There are three methods to expose buckets as website:
1. using the PutBucketWebsite S3 API call, which is allowed for access keys that have the owner permission bit set
2. from the Garage CLI, by an adminstrator of the cluster
3. using the Garage administration API
The `PutBucketWebsite` API endpoint [is documented](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketWebsite.html) in the official AWS docs.
This endpoint can also be called [using `aws s3api`](https://docs.aws.amazon.com/cli/latest/reference/s3api/put-bucket-website.html) on the command line.
The website configuration supported by Garage is only a subset of the possibilities on Amazon S3: redirections are not supported, only the index document and error document can be specified.
If you want to expose your bucket as a website from the CLI, use this simple command:
```bash
garage bucket website --allow my-website
```
Now it will be **publicly** exposed on the web endpoint (by default listening on port 3902).
## How exposed websites work
Our website serving logic is as follow:
- Supports only static websites (no support for PHP or other languages)
- Does not support directory listing
- The index file is defined per-bucket and can be specified in the `PutBucketWebsite` call
or on the CLI using the `--index-document` parameter (default: `index.html`)
- A custom error document for 404 errors can be specified in the `PutBucketWebsite` call
or on the CLI using the `--error-document` parameter
Now we need to infer the URL of your website through your bucket name.
Let assume:
- we set `root_domain = ".web.example.com"` in `garage.toml` ([ref](@/documentation/reference-manual/configuration.md#root_domain))
- our bucket name is `garagehq.deuxfleurs.fr`.
Our bucket will be served if the Host field matches one of these 2 values (the port is ignored):
- `garagehq.deuxfleurs.fr.web.example.com`: you can dedicate a subdomain to your users (here `web.example.com`).
- `garagehq.deuxfleurs.fr`: your users can bring their own domain name, they just need to point them to your Garage cluster.
You can try this logic locally, without configuring any DNS, thanks to `curl`:
```bash
# prepare your test
echo hello world > /tmp/index.html
mc cp /tmp/index.html garage/garagehq.deuxfleurs.fr
curl -H 'Host: garagehq.deuxfleurs.fr' http://localhost:3902
# should print "hello world"
curl -H 'Host: garagehq.deuxfleurs.fr.web.example.com' http://localhost:3902
# should also print "hello world"
```
Now that you understand how website logic works on Garage, you can:
- make the website endpoint listens on port 80 (instead of 3902)
- use iptables to redirect the port 80 to the port 3902:
`iptables -t nat -A PREROUTING -p tcp -dport 80 -j REDIRECT -to-port 3902`
- or configure a [reverse proxy](@/documentation/cookbook/reverse-proxy.md) in front of Garage to add TLS (HTTPS), CORS support, etc.
You can also take a look at [Website Integration](@/documentation/connect/websites.md) to see how you can add Garage to your workflow.

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+++
title = "Compiling Garage from source"
weight = 10
+++
Garage is a standard Rust project. First, you need `rust` and `cargo`. For instance on Debian:
```bash
sudo apt-get update
sudo apt-get install -y rustc cargo
```
You can also use [Rustup](https://rustup.rs/) to setup a Rust toolchain easily.
In addition, you will need a full C toolchain. On Debian-based distributions, it can be installed as follows:
```bash
sudo apt-get update
sudo apt-get install build-essential
```
## Building from source from the Gitea repository
The primary location for Garage's source code is the
[Gitea repository](https://git.deuxfleurs.fr/Deuxfleurs/garage),
which contains all of the released versions as well as the code
for the developpement of the next version.
Clone the repository and enter it as follows:
```bash
git clone https://git.deuxfleurs.fr/Deuxfleurs/garage.git
cd garage
```
If you wish to build a specific version of Garage, check out the corresponding tag. For instance:
```bash
git tag # List available tags
git checkout v0.8.0 # Change v0.8.0 with the version you wish to build
```
Otherwise you will be building a developpement build from the `main` branch
that includes all of the changes to be released in the next version.
Be careful that such a build might be unstable or contain bugs,
and could be incompatible with nodes that run stable versions of Garage.
Finally, build Garage with the following command:
```bash
cargo build --release
```
The binary built this way can now be found in `target/release/garage`.
You may simply copy this binary to somewhere in your `$PATH` in order to
have the `garage` command available in your shell, for instance:
```bash
sudo cp target/release/garage /usr/local/bin/garage
```
If you are planning to develop Garage,
you might be interested in producing debug builds, which compile faster but run slower:
this can be done by removing the `--release` flag, and the resulting build can then
be found in `target/debug/garage`.
## List of available Cargo feature flags
Garage supports a number of compilation options in the form of Cargo feature flags,
which can be used to provide builds adapted to your system and your use case.
To produce a build with a given set of features, invoke the `cargo build` command
as follows:
```bash
# This will build the default feature set plus feature1, feature2 and feature3
cargo build --release --features feature1,feature2,feature3
# This will build ONLY feature1, feature2 and feature3
cargo build --release --no-default-features \
--features feature1,feature2,feature3
```
The following feature flags are available in v0.8.0:
| Feature flag | Enabled | Description |
| ------------ | ------- | ----------- |
| `bundled-libs` | *by default* | Use bundled version of sqlite3, zstd, lmdb and libsodium |
| `system-libs` | optional | Use system version of sqlite3, zstd, lmdb and libsodium<br>if available (exclusive with `bundled-libs`, build using<br>`cargo build --no-default-features --features system-libs`) |
| `k2v` | optional | Enable the experimental K2V API (if used, all nodes on your<br>Garage cluster must have it enabled as well) |
| `kubernetes-discovery` | optional | Enable automatic registration and discovery<br>of cluster nodes through the Kubernetes API |
| `metrics` | *by default* | Enable collection of metrics in Prometheus format on the admin API |
| `telemetry-otlp` | optional | Enable collection of execution traces using OpenTelemetry |
| `sled` | *by default* | Enable using Sled to store Garage's metadata |
| `lmdb` | optional | Enable using LMDB to store Garage's metadata |
| `sqlite` | optional | Enable using Sqlite3 to store Garage's metadata |

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title = "Configuring a gateway node"
weight = 20
+++
Gateways allow you to expose Garage endpoints (S3 API and websites) without storing data on the node.
## Benefits
You can configure Garage as a gateway on all nodes that will consume your S3 API, it will provide you the following benefits:
- **It removes 1 or 2 network RTT.** Instead of (querying your reverse proxy then) querying a random node of the cluster that will forward your request to the nodes effectively storing the data, your local gateway will directly knows which node to query.
- **It eases server management.** Instead of tracking in your reverse proxy and DNS what are the current Garage nodes, your gateway being part of the cluster keeps this information for you. In your software, you will always specify `http://localhost:3900`.
- **It simplifies security.** Instead of having to maintain and renew a TLS certificate, you leverage the Secret Handshake protocol we use for our cluster. The S3 API protocol will be in plain text but limited to your local machine.
## Spawn a Gateway
The instructions are similar to a regular node, the only option that is different is while configuring the node, you must set the `--gateway` parameter:
```bash
garage layout assign --gateway --tag gw1 <node_id>
garage layout show # review the changes you are making
garage layout apply # once satisfied, apply the changes
```
Then use `http://localhost:3900` when a S3 endpoint is required:
```bash
aws --endpoint-url http://127.0.0.1:3900 s3 ls
```
If a newly added gateway node seems to not be working, do a full table resync to ensure that bucket and key list are correctly propagated:
```bash
garage repair -a --yes tables
```

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title = "Deploying on Kubernetes"
weight = 32
+++
Garage can also be deployed on a kubernetes cluster via helm chart.
## Deploying
Firstly clone the repository:
```bash
git clone https://git.deuxfleurs.fr/Deuxfleurs/garage
cd garage/scripts/helm
```
Deploy with default options:
```bash
helm install --create-namespace --namespace garage garage ./garage
```
Or deploy with custom values:
```bash
helm install --create-namespace --namespace garage garage ./garage -f values.override.yaml
```
After deploying, cluster layout must be configured manually as described in [Creating a cluster layout](@/documentation/quick-start/_index.md#creating-a-cluster-layout). Use the following command to access garage CLI:
```bash
kubectl exec --stdin --tty -n garage garage-0 -- ./garage status
```
## Overriding default values
All possible configuration values can be found with:
```bash
helm show values ./garage
```
This is an example `values.overrride.yaml` for deploying in a microk8s cluster with a https s3 api ingress route:
```yaml
garage:
# Use only 2 replicas per object
replicationMode: "2"
# Start 4 instances (StatefulSets) of garage
replicaCount: 4
# Override default storage class and size
persistence:
meta:
storageClass: "openebs-hostpath"
size: 100Mi
data:
storageClass: "openebs-hostpath"
size: 1Gi
ingress:
s3:
api:
enabled: true
className: "public"
annotations:
cert-manager.io/cluster-issuer: "letsencrypt-prod"
nginx.ingress.kubernetes.io/proxy-body-size: 500m
hosts:
- host: s3-api.my-domain.com
paths:
- path: /
pathType: Prefix
tls:
- secretName: garage-ingress-cert
hosts:
- s3-api.my-domain.com
```
## Removing
```bash
helm delete --namespace garage garage
```
Note that this will leave behind custom CRD `garagenodes.deuxfleurs.fr`, which must be removed manually if desired.

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title = "Monitoring Garage"
weight = 40
+++
Garage exposes some internal metrics in the Prometheus data format.
This page explains how to exploit these metrics.
## Setting up monitoring
### Enabling the Admin API endpoint
If you have not already enabled the [administration API endpoint](@/documentation/reference-manual/admin-api.md), do so by adding the following lines to your configuration file:
```toml
[admin]
api_bind_addr = "0.0.0.0:3903"
```
This will allow anyone to scrape Prometheus metrics by fetching
`http://localhost:3093/metrics`. If you want to restrict access
to the exported metrics, set the `metrics_token` configuration value
to a bearer token to be used when fetching the metrics endpoint.
### Setting up Prometheus and Grafana
Add a scrape config to your Prometheus daemon to scrape metrics from
all of your nodes:
```yaml
scrape_configs:
- job_name: 'garage'
static_configs:
- targets:
- 'node1.mycluster:3903'
- 'node2.mycluster:3903'
- 'node3.mycluster:3903'
```
If you have set a metrics token in your Garage configuration file,
add the following lines in your Prometheus scrape config:
```yaml
authorization:
type: Bearer
credentials: 'your metrics token'
```
To visualize the scraped data in Grafana,
you can either import our [Grafana dashboard for Garage](https://git.deuxfleurs.fr/Deuxfleurs/garage/raw/branch/main/script/telemetry/grafana-garage-dashboard-prometheus.json)
or make your own.
We detail below the list of exposed metrics and their meaning.
## List of exported metrics
### Metrics of the API endpoints
#### `api_admin_request_counter` (counter)
Counts the number of requests to a given endpoint of the administration API. Example:
```
api_admin_request_counter{api_endpoint="Metrics"} 127041
```
#### `api_admin_request_duration` (histogram)
Evaluates the duration of API calls to the various administration API endpoint. Example:
```
api_admin_request_duration_bucket{api_endpoint="Metrics",le="0.5"} 127041
api_admin_request_duration_sum{api_endpoint="Metrics"} 605.250344830999
api_admin_request_duration_count{api_endpoint="Metrics"} 127041
```
#### `api_s3_request_counter` (counter)
Counts the number of requests to a given endpoint of the S3 API. Example:
```
api_s3_request_counter{api_endpoint="CreateMultipartUpload"} 1
```
#### `api_s3_error_counter` (counter)
Counts the number of requests to a given endpoint of the S3 API that returned an error. Example:
```
api_s3_error_counter{api_endpoint="GetObject",status_code="404"} 39
```
#### `api_s3_request_duration` (histogram)
Evaluates the duration of API calls to the various S3 API endpoints. Example:
```
api_s3_request_duration_bucket{api_endpoint="CreateMultipartUpload",le="0.5"} 1
api_s3_request_duration_sum{api_endpoint="CreateMultipartUpload"} 0.046340762
api_s3_request_duration_count{api_endpoint="CreateMultipartUpload"} 1
```
#### `api_k2v_request_counter` (counter), `api_k2v_error_counter` (counter), `api_k2v_error_duration` (histogram)
Same as for S3, for the K2V API.
### Metrics of the Web endpoint
#### `web_request_counter` (counter)
Number of requests to the web endpoint
```
web_request_counter{method="GET"} 80
```
#### `web_request_duration` (histogram)
Duration of requests to the web endpoint
```
web_request_duration_bucket{method="GET",le="0.5"} 80
web_request_duration_sum{method="GET"} 1.0528433229999998
web_request_duration_count{method="GET"} 80
```
#### `web_error_counter` (counter)
Number of requests to the web endpoint resulting in errors
```
web_error_counter{method="GET",status_code="404 Not Found"} 64
```
### Metrics of the data block manager
#### `block_bytes_read`, `block_bytes_written` (counter)
Number of bytes read/written to/from disk in the data storage directory.
```
block_bytes_read 120586322022
block_bytes_written 3386618077
```
#### `block_read_duration`, `block_write_duration` (histograms)
Evaluates the duration of the reading/writing of individual data blocks in the data storage directory.
```
block_read_duration_bucket{le="0.5"} 169229
block_read_duration_sum 2761.6902550310056
block_read_duration_count 169240
block_write_duration_bucket{le="0.5"} 3559
block_write_duration_sum 195.59170078500006
block_write_duration_count 3571
```
#### `block_delete_counter` (counter)
Counts the number of data blocks that have been deleted from storage.
```
block_delete_counter 122
```
#### `block_resync_counter` (counter), `block_resync_duration` (histogram)
Counts the number of resync operations the node has executed, and evaluates their duration.
```
block_resync_counter 308897
block_resync_duration_bucket{le="0.5"} 308892
block_resync_duration_sum 139.64204196100016
block_resync_duration_count 308897
```
#### `block_resync_queue_length` (gauge)
The number of block hashes currently queued for a resync.
This is normal to be nonzero for long periods of time.
```
block_resync_queue_length 0
```
#### `block_resync_errored_blocks` (gauge)
The number of block hashes that we were unable to resync last time we tried.
**THIS SHOULD BE ZERO, OR FALL BACK TO ZERO RAPIDLY, IN A HEALTHY CLUSTER.**
Persistent nonzero values indicate that some data is likely to be lost.
```
block_resync_errored_blocks 0
```
### Metrics related to RPCs (remote procedure calls) between nodes
#### `rpc_netapp_request_counter` (counter)
Number of RPC requests emitted
```
rpc_request_counter{from="<this node>",rpc_endpoint="garage_block/manager.rs/Rpc",to="<remote node>"} 176
```
#### `rpc_netapp_error_counter` (counter)
Number of communication errors (errors in the Netapp library, generally due to disconnected nodes)
```
rpc_netapp_error_counter{from="<this node>",rpc_endpoint="garage_block/manager.rs/Rpc",to="<remote node>"} 354
```
#### `rpc_timeout_counter` (counter)
Number of RPC timeouts, should be close to zero in a healthy cluster.
```
rpc_timeout_counter{from="<this node>",rpc_endpoint="garage_rpc/membership.rs/SystemRpc",to="<remote node>"} 1
```
#### `rpc_duration` (histogram)
The duration of internal RPC calls between Garage nodes.
```
rpc_duration_bucket{from="<this node>",rpc_endpoint="garage_block/manager.rs/Rpc",to="<remote node>",le="0.5"} 166
rpc_duration_sum{from="<this node>",rpc_endpoint="garage_block/manager.rs/Rpc",to="<remote node>"} 35.172253716
rpc_duration_count{from="<this node>",rpc_endpoint="garage_block/manager.rs/Rpc",to="<remote node>"} 174
```
### Metrics of the metadata table manager
#### `table_gc_todo_queue_length` (gauge)
Table garbage collector TODO queue length
```
table_gc_todo_queue_length{table_name="block_ref"} 0
```
#### `table_get_request_counter` (counter), `table_get_request_duration` (histogram)
Number of get/get_range requests internally made on each table, and their duration.
```
table_get_request_counter{table_name="bucket_alias"} 315
table_get_request_duration_bucket{table_name="bucket_alias",le="0.5"} 315
table_get_request_duration_sum{table_name="bucket_alias"} 0.048509778000000024
table_get_request_duration_count{table_name="bucket_alias"} 315
```
#### `table_put_request_counter` (counter), `table_put_request_duration` (histogram)
Number of insert/insert_many requests internally made on this table, and their duration
```
table_put_request_counter{table_name="block_ref"} 677
table_put_request_duration_bucket{table_name="block_ref",le="0.5"} 677
table_put_request_duration_sum{table_name="block_ref"} 61.617528636
table_put_request_duration_count{table_name="block_ref"} 677
```
#### `table_internal_delete_counter` (counter)
Number of value deletions in the tree (due to GC or repartitioning)
```
table_internal_delete_counter{table_name="block_ref"} 2296
```
#### `table_internal_update_counter` (counter)
Number of value updates where the value actually changes (includes creation of new key and update of existing key)
```
table_internal_update_counter{table_name="block_ref"} 5996
```
#### `table_merkle_updater_todo_queue_length` (gauge)
Merkle tree updater TODO queue length (should fall to zero rapidly)
```
table_merkle_updater_todo_queue_length{table_name="block_ref"} 0
```
#### `table_sync_items_received`, `table_sync_items_sent` (counters)
Number of data items sent to/recieved from other nodes during resync procedures
```
table_sync_items_received{from="<remote node>",table_name="bucket_v2"} 3
table_sync_items_sent{table_name="block_ref",to="<remote node>"} 2
```

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@ -1,349 +0,0 @@
+++
title = "Deployment on a cluster"
weight = 5
+++
To run Garage in cluster mode, we recommend having at least 3 nodes.
This will allow you to setup Garage for three-way replication of your data,
the safest and most available mode proposed by Garage.
We recommend first following the [quick start guide](@/documentation/quick-start/_index.md) in order
to get familiar with Garage's command line and usage patterns.
## Preparing your environment
### Prerequisites
To run a real-world deployment, make sure the following conditions are met:
- You have at least three machines with sufficient storage space available.
- Each machine has a public IP address which is reachable by other machines.
Running behind a NAT is likely to be possible but hasn't been tested for the latest version (TODO).
- This guide will assume you are using Docker containers to deploy Garage on each node.
Garage can also be run independently, for instance as a [Systemd service](@/documentation/cookbook/systemd.md).
You can also use an orchestrator such as Nomad or Kubernetes to automatically manage
Docker containers on a fleet of nodes.
Before deploying Garage on your infrastructure, you must inventory your machines.
For our example, we will suppose the following infrastructure with IPv6 connectivity:
| Location | Name | IP Address | Disk Space |
|----------|---------|------------|------------|
| Paris | Mercury | fc00:1::1 | 1 TB |
| Paris | Venus | fc00:1::2 | 2 TB |
| London | Earth | fc00:B::1 | 2 TB |
| Brussels | Mars | fc00:F::1 | 1.5 TB |
Note that Garage will **always** store the three copies of your data on nodes at different
locations. This means that in the case of this small example, the available capacity
of the cluster is in fact only 1.5 TB, because nodes in Brussels can't store more than that.
This also means that nodes in Paris and London will be under-utilized.
To make better use of the available hardware, you should ensure that the capacity
available in the different locations of your cluster is roughly the same.
For instance, here, the Mercury node could be moved to Brussels; this would allow the cluster
to store 2 TB of data in total.
### Best practices
- If you have fast dedicated networking between all your nodes, and are planing to store
very large files, bump the `block_size` configuration parameter to 10 MB
(`block_size = 10485760`).
- Garage stores its files in two locations: it uses a metadata directory to store frequently-accessed
small metadata items, and a data directory to store data blocks of uploaded objects.
Ideally, the metadata directory would be stored on an SSD (smaller but faster),
and the data directory would be stored on an HDD (larger but slower).
- For the data directory, Garage already does checksumming and integrity verification,
so there is no need to use a filesystem such as BTRFS or ZFS that does it.
We recommend using XFS for the data partition, as it has the best performance.
EXT4 is not recommended as it has more strict limitations on the number of inodes,
which might cause issues with Garage when large numbers of objects are stored.
- If you only have an HDD and no SSD, it's fine to put your metadata alongside the data
on the same drive. Having lots of RAM for your kernel to cache the metadata will
help a lot with performance. Make sure to use the LMDB database engine,
instead of Sled, which suffers from quite bad performance degradation on HDDs.
Sled is still the default for legacy reasons, but is not recommended anymore.
- For the metadata storage, Garage does not do checksumming and integrity
verification on its own. If you are afraid of bitrot/data corruption,
put your metadata directory on a BTRFS partition. Otherwise, just use regular
EXT4 or XFS.
- Having a single server with several storage drives is currently not very well
supported in Garage ([#218](https://git.deuxfleurs.fr/Deuxfleurs/garage/issues/218)).
For an easy setup, just put all your drives in a RAID0 or a ZFS RAIDZ array.
If you're adventurous, you can try to format each of your disk as
a separate XFS partition, and then run one `garage` daemon per disk drive,
or use something like [`mergerfs`](https://github.com/trapexit/mergerfs) to merge
all your disks in a single union filesystem that spreads load over them.
## Get a Docker image
Our docker image is currently named `dxflrs/garage` and is stored on the [Docker Hub](https://hub.docker.com/r/dxflrs/garage/tags?page=1&ordering=last_updated).
We encourage you to use a fixed tag (eg. `v0.8.0`) and not the `latest` tag.
For this example, we will use the latest published version at the time of the writing which is `v0.8.0` but it's up to you
to check [the most recent versions on the Docker Hub](https://hub.docker.com/r/dxflrs/garage/tags?page=1&ordering=last_updated).
For example:
```
sudo docker pull dxflrs/garage:v0.8.0
```
## Deploying and configuring Garage
On each machine, we will have a similar setup,
especially you must consider the following folders/files:
- `/etc/garage.toml`: Garage daemon's configuration (see below)
- `/var/lib/garage/meta/`: Folder containing Garage's metadata,
put this folder on a SSD if possible
- `/var/lib/garage/data/`: Folder containing Garage's data,
this folder will be your main data storage and must be on a large storage (e.g. large HDD)
A valid `/etc/garage.toml` for our cluster would look as follows:
```toml
metadata_dir = "/var/lib/garage/meta"
data_dir = "/var/lib/garage/data"
db_engine = "lmdb"
replication_mode = "3"
compression_level = 2
rpc_bind_addr = "[::]:3901"
rpc_public_addr = "<this node's public IP>:3901"
rpc_secret = "<RPC secret>"
[s3_api]
s3_region = "garage"
api_bind_addr = "[::]:3900"
root_domain = ".s3.garage"
[s3_web]
bind_addr = "[::]:3902"
root_domain = ".web.garage"
index = "index.html"
```
Check the following for your configuration files:
- Make sure `rpc_public_addr` contains the public IP address of the node you are configuring.
This parameter is optional but recommended: if your nodes have trouble communicating with
one another, consider adding it.
- Make sure `rpc_secret` is the same value on all nodes. It should be a 32-bytes hex-encoded secret key.
You can generate such a key with `openssl rand -hex 32`.
## Starting Garage using Docker
On each machine, you can run the daemon with:
```bash
docker run \
-d \
--name garaged \
--restart always \
--network host \
-v /etc/garage.toml:/etc/garage.toml \
-v /var/lib/garage/meta:/var/lib/garage/meta \
-v /var/lib/garage/data:/var/lib/garage/data \
dxflrs/garage:v0.8.0
```
It should be restarted automatically at each reboot.
Please note that we use host networking as otherwise Docker containers
can not communicate with IPv6.
If you want to use `docker-compose`, you may use the following `docker-compose.yml` file as a reference:
```yaml
version: "3"
services:
garage:
image: dxflrs/garage:v0.8.0
network_mode: "host"
restart: unless-stopped
volumes:
- /etc/garage.toml:/etc/garage.toml
- /var/lib/garage/meta:/var/lib/garage/meta
- /var/lib/garage/data:/var/lib/garage/data
```
Upgrading between Garage versions should be supported transparently,
but please check the relase notes before doing so!
To upgrade, simply stop and remove this container and
start again the command with a new version of Garage.
## Controling the daemon
The `garage` binary has two purposes:
- it acts as a daemon when launched with `garage server`
- it acts as a control tool for the daemon when launched with any other command
Ensure an appropriate `garage` binary (the same version as your Docker image) is available in your path.
If your configuration file is at `/etc/garage.toml`, the `garage` binary should work with no further change.
You can test your `garage` CLI utility by running a simple command such as:
```bash
garage status
```
At this point, nodes are not yet talking to one another.
Your output should therefore look like follows:
```
Mercury$ garage status
==== HEALTHY NODES ====
ID Hostname Address Tag Zone Capacity
563e1ac825ee3323… Mercury [fc00:1::1]:3901 NO ROLE ASSIGNED
```
## Connecting nodes together
When your Garage nodes first start, they will generate a local node identifier
(based on a public/private key pair).
To obtain the node identifier of a node, once it is generated,
run `garage node id`.
This will print keys as follows:
```bash
Mercury$ garage node id
563e1ac825ee3323aa441e72c26d1030d6d4414aeb3dd25287c531e7fc2bc95d@[fc00:1::1]:3901
Venus$ garage node id
86f0f26ae4afbd59aaf9cfb059eefac844951efd5b8caeec0d53f4ed6c85f332@[fc00:1::2]:3901
etc.
```
You can then instruct nodes to connect to one another as follows:
```bash
# Instruct Venus to connect to Mercury (this will establish communication both ways)
Venus$ garage node connect 563e1ac825ee3323aa441e72c26d1030d6d4414aeb3dd25287c531e7fc2bc95d@[fc00:1::1]:3901
```
You don't nead to instruct all node to connect to all other nodes:
nodes will discover one another transitively.
Now if your run `garage status` on any node, you should have an output that looks as follows:
```
==== HEALTHY NODES ====
ID Hostname Address Tag Zone Capacity
563e1ac825ee3323… Mercury [fc00:1::1]:3901 NO ROLE ASSIGNED
86f0f26ae4afbd59… Venus [fc00:1::2]:3901 NO ROLE ASSIGNED
68143d720f20c89d… Earth [fc00:B::1]:3901 NO ROLE ASSIGNED
212f7572f0c89da9… Mars [fc00:F::1]:3901 NO ROLE ASSIGNED
```
## Creating a cluster layout
We will now inform Garage of the disk space available on each node of the cluster
as well as the zone (e.g. datacenter) in which each machine is located.
This information is called the **cluster layout** and consists
of a role that is assigned to each active cluster node.
For our example, we will suppose we have the following infrastructure
(Capacity, Identifier and Zone are specific values to Garage described in the following):
| Location | Name | Disk Space | `Capacity` | `Identifier` | `Zone` |
|----------|---------|------------|------------|--------------|--------------|
| Paris | Mercury | 1 TB | `10` | `563e` | `par1` |
| Paris | Venus | 2 TB | `20` | `86f0` | `par1` |
| London | Earth | 2 TB | `20` | `6814` | `lon1` |
| Brussels | Mars | 1.5 TB | `15` | `212f` | `bru1` |
#### Node identifiers
After its first launch, Garage generates a random and unique identifier for each nodes, such as:
```
563e1ac825ee3323aa441e72c26d1030d6d4414aeb3dd25287c531e7fc2bc95d
```
Often a shorter form can be used, containing only the beginning of the identifier, like `563e`,
which identifies the server "Mercury" located in "Paris" according to our previous table.
The most simple way to match an identifier to a node is to run:
```
garage status
```
It will display the IP address associated with each node;
from the IP address you will be able to recognize the node.
#### Zones
Zones are simply a user-chosen identifier that identify a group of server that are grouped together logically.
It is up to the system administrator deploying Garage to identify what does "grouped together" means.
In most cases, a zone will correspond to a geographical location (i.e. a datacenter).
Behind the scene, Garage will use zone definition to try to store the same data on different zones,
in order to provide high availability despite failure of a zone.
#### Capacity
Garage reasons on an abstract metric about disk storage that is named the *capacity* of a node.
The capacity configured in Garage must be proportional to the disk space dedicated to the node.
Capacity values must be **integers** but can be given any signification.
Here we chose that 1 unit of capacity = 100 GB.
Note that the amount of data stored by Garage on each server may not be strictly proportional to
its capacity value, as Garage will priorize having 3 copies of data in different zones,
even if this means that capacities will not be strictly respected. For example in our above examples,
nodes Earth and Mars will always store a copy of everything each, and the third copy will
have 66% chance of being stored by Venus and 33% chance of being stored by Mercury.
#### Injecting the topology
Given the information above, we will configure our cluster as follow:
```bash
garage layout assign 563e -z par1 -c 10 -t mercury
garage layout assign 86f0 -z par1 -c 20 -t venus
garage layout assign 6814 -z lon1 -c 20 -t earth
garage layout assign 212f -z bru1 -c 15 -t mars
```
At this point, the changes in the cluster layout have not yet been applied.
To show the new layout that will be applied, call:
```bash
garage layout show
```
Once you are satisfied with your new layout, apply it with:
```bash
garage layout apply
```
**WARNING:** if you want to use the layout modification commands in a script,
make sure to read [this page](@/documentation/reference-manual/layout.md) first.
## Using your Garage cluster
Creating buckets and managing keys is done using the `garage` CLI,
and is covered in the [quick start guide](@/documentation/quick-start/_index.md).
Remember also that the CLI is self-documented thanks to the `--help` flag and
the `help` subcommand (e.g. `garage help`, `garage key --help`).
Configuring S3-compatible applicatiosn to interact with Garage
is covered in the [Integrations](@/documentation/connect/_index.md) section.

View file

@ -1,308 +0,0 @@
+++
title = "Configuring a reverse proxy"
weight = 30
+++
The main reason to add a reverse proxy in front of Garage is to provide TLS to your users and serve multiple web services on port 443.
In production you will likely need your certificates signed by a certificate authority.
The most automated way is to use a provider supporting the [ACME protocol](https://datatracker.ietf.org/doc/html/rfc8555)
such as [Let's Encrypt](https://letsencrypt.org/), [ZeroSSL](https://zerossl.com/) or [Buypass Go SSL](https://www.buypass.com/ssl/products/acme).
If you are only testing Garage, you can generate a self-signed certificate to follow the documentation:
```bash
openssl req \
-new \
-x509 \
-keyout /tmp/garage.key \
-out /tmp/garage.crt \
-nodes \
-subj "/C=XX/ST=XX/L=XX/O=XX/OU=XX/CN=localhost/emailAddress=X@X.XX" \
-addext "subjectAltName = DNS:localhost, IP:127.0.0.1"
cat /tmp/garage.key /tmp/garage.crt > /tmp/garage.pem
```
Be careful as you will need to allow self signed certificates in your client.
For example, with minio, you must add the `--insecure` flag.
An example:
```bash
mc ls --insecure garage/
```
## socat (only for testing purposes)
If you want to test Garage with a TLS frontend, socat can do it for you in a single command:
```bash
socat \
"openssl-listen:443,\
reuseaddr,\
fork,\
verify=0,\
cert=/tmp/garage.pem" \
tcp4-connect:localhost:3900
```
## Nginx
Nginx is a well-known reverse proxy suitable for production.
We do the configuration in 3 steps: first we define the upstream blocks ("the backends")
then we define the server blocks ("the frontends") for the S3 endpoint and finally for the web endpoint.
The following configuration blocks can be all put in the same `/etc/nginx/sites-available/garage.conf`.
To make your configuration active, run `ln -s /etc/nginx/sites-available/garage.conf /etc/nginx/sites-enabled/`.
If you directly put the instructions in the root `nginx.conf`, keep in mind that these configurations must be enclosed inside a `http { }` block.
And do not forget to reload nginx with `systemctl reload nginx` or `nginx -s reload`.
### Exposing the S3 endpoints
First, we need to tell to nginx how to access our Garage cluster.
Because we have multiple nodes, we want to leverage all of them by spreading the load.
In nginx, we can do that with the `upstream` directive.
Then in a `server` directive, we define the vhosts, the TLS certificates and the proxy rule.
A possible configuration:
```nginx
upstream s3_backend {
# If you have a garage instance locally.
server 127.0.0.1:3900;
# You can also put your other instances.
server 192.168.1.3:3900;
# Domain names also work.
server garage1.example.com:3900;
# A "backup" server is only used if all others have failed.
server garage-remote.example.com:3900 backup;
# You can assign weights if you have some servers
# that can serve more requests than others.
server garage2.example.com:3900 weight=2;
}
server {
listen [::]:443 http2 ssl;
ssl_certificate /tmp/garage.crt;
ssl_certificate_key /tmp/garage.key;
# You need multiple server names here:
# - s3.garage.tld is used for path-based s3 requests
# - *.s3.garage.tld is used for vhost-based s3 requests
server_name s3.garage.tld *.s3.garage.tld;
location / {
proxy_pass http://s3_backend;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header Host $host;
# Disable buffering to a temporary file.
proxy_max_temp_file_size 0;
}
}
```
### Exposing the web endpoint
To better understand the logic involved, you can refer to the [Exposing buckets as websites](/cookbook/exposing_websites.html) section.
Otherwise, the configuration is very similar to the S3 endpoint.
You must only adapt `upstream` with the web port instead of the s3 port and change the `server_name` and `proxy_pass` entry
A possible configuration:
```nginx
upstream web_backend {
server 127.0.0.1:3902;
server 192.168.1.3:3902;
server garage1.example.com:3902;
server garage2.example.com:3902 weight=2;
}
server {
listen [::]:443 http2 ssl;
ssl_certificate /tmp/garage.crt;
ssl_certificate_key /tmp/garage.key;
# You need multiple server names here:
# - *.web.garage.tld is used for your users wanting a website without reserving a domain name
# - example.com, my-site.tld, etc. are reserved domain name by your users that chose to host their website as a garage's bucket
server_name *.web.garage.tld example.com my-site.tld;
location / {
proxy_pass http://web_backend;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header Host $host;
}
}
```
## Apache httpd
@TODO
## Traefik v2
We will see in this part how to set up a reverse proxy with [Traefik](https://docs.traefik.io/).
Here is [a basic configuration file](https://doc.traefik.io/traefik/https/acme/#configuration-examples):
```toml
[entryPoints]
[entryPoints.web]
address = ":80"
[entryPoints.websecure]
address = ":443"
[certificatesResolvers.myresolver.acme]
email = "your-email@example.com"
storage = "acme.json"
[certificatesResolvers.myresolver.acme.httpChallenge]
# used during the challenge
entryPoint = "web"
```
### Add Garage service
To add Garage on Traefik you should declare a new service using its IP address (or hostname) and port:
```toml
[http.services]
[http.services.my_garage_service.loadBalancer]
[[http.services.my_garage_service.loadBalancer.servers]]
url = "http://xxx.xxx.xxx.xxx"
port = 3900
```
It's possible to declare multiple Garage servers as back-ends:
```toml
[http.services]
[[http.services.my_garage_service.loadBalancer.servers]]
url = "http://xxx.xxx.xxx.xxx"
port = 3900
[[http.services.my_garage_service.loadBalancer.servers]]
url = "http://yyy.yyy.yyy.yyy"
port = 3900
[[http.services.my_garage_service.loadBalancer.servers]]
url = "http://zzz.zzz.zzz.zzz"
port = 3900
```
Traefik can remove unhealthy servers automatically with [a health check configuration](https://doc.traefik.io/traefik/routing/services/#health-check):
```
[http.services]
[http.services.my_garage_service.loadBalancer]
[http.services.my_garage_service.loadBalancer.healthCheck]
path = "/"
interval = "60s"
timeout = "5s"
```
### Adding a website
To add a new website, add the following declaration to your Traefik configuration file:
```toml
[http.routers]
[http.routers.my_website]
rule = "Host(`yoururl.example.org`)"
service = "my_garage_service"
entryPoints = ["web"]
```
Enable HTTPS access to your website with the following configuration section ([documentation](https://doc.traefik.io/traefik/https/overview/)):
```toml
...
entryPoints = ["websecure"]
[http.routers.my_website.tls]
certResolver = "myresolver"
...
```
### Adding gzip compression
Add the following configuration section [to compress response](https://doc.traefik.io/traefik/middlewares/http/compress/) using [gzip](https://developer.mozilla.org/en-US/docs/Glossary/GZip_compression) before sending them to the client:
```toml
[http.routers]
[http.routers.my_website]
...
middlewares = ["gzip_compress"]
...
[http.middlewares]
[http.middlewares.gzip_compress.compress]
```
### Add caching response
Traefik's caching middleware is only available on [entreprise version](https://doc.traefik.io/traefik-enterprise/middlewares/http-cache/), however the freely-available [Souin plugin](https://github.com/darkweak/souin#tr%C3%A6fik-container) can also do the job. (section to be completed)
### Complete example
```toml
[entryPoints]
[entryPoints.web]
address = ":80"
[entryPoints.websecure]
address = ":443"
[certificatesResolvers.myresolver.acme]
email = "your-email@example.com"
storage = "acme.json"
[certificatesResolvers.myresolver.acme.httpChallenge]
# used during the challenge
entryPoint = "web"
[http.routers]
[http.routers.my_website]
rule = "Host(`yoururl.example.org`)"
service = "my_garage_service"
middlewares = ["gzip_compress"]
entryPoints = ["websecure"]
[http.services]
[http.services.my_garage_service.loadBalancer]
[http.services.my_garage_service.loadBalancer.healthCheck]
path = "/"
interval = "60s"
timeout = "5s"
[[http.services.my_garage_service.loadBalancer.servers]]
url = "http://xxx.xxx.xxx.xxx"
[[http.services.my_garage_service.loadBalancer.servers]]
url = "http://yyy.yyy.yyy.yyy"
[[http.services.my_garage_service.loadBalancer.servers]]
url = "http://zzz.zzz.zzz.zzz"
[http.middlewares]
[http.middlewares.gzip_compress.compress]
```
## Caddy
Your Caddy configuration can be as simple as:
```caddy
s3.garage.tld, *.s3.garage.tld {
reverse_proxy localhost:3900 192.168.1.2:3900 example.tld:3900
}
*.web.garage.tld {
reverse_proxy localhost:3902 192.168.1.2:3900 example.tld:3900
}
admin.garage.tld {
reverse_proxy localhost:3903
}
```
But at the same time, the `reverse_proxy` is very flexible.
For a production deployment, you should [read its documentation](https://caddyserver.com/docs/caddyfile/directives/reverse_proxy) as it supports features like DNS discovery of upstreams, load balancing with checks, streaming parameters, etc.

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@ -1,53 +0,0 @@
+++
title = "Starting Garage with systemd"
weight = 15
+++
We make some assumptions for this systemd deployment.
- Your garage binary is located at `/usr/local/bin/garage`.
- Your configuration file is located at `/etc/garage.toml`.
- Your `garage.toml` must be set with `metadata_dir=/var/lib/garage/meta` and `data_dir=/var/lib/garage/data`. This is mandatory to use `systemd` hardening feature [Dynamic User](https://0pointer.net/blog/dynamic-users-with-systemd.html). Note that in your host filesystem, Garage data will be held in `/var/lib/private/garage`.
Create a file named `/etc/systemd/system/garage.service`:
```toml
[Unit]
Description=Garage Data Store
After=network-online.target
Wants=network-online.target
[Service]
Environment='RUST_LOG=garage=info' 'RUST_BACKTRACE=1'
ExecStart=/usr/local/bin/garage server
StateDirectory=garage
DynamicUser=true
ProtectHome=true
NoNewPrivileges=true
[Install]
WantedBy=multi-user.target
```
*A note on hardening: garage will be run as a non privileged user, its user id is dynamically allocated by systemd. It cannot access (read or write) home folders (/home, /root and /run/user), the rest of the filesystem can only be read but not written, only the path seen as /var/lib/garage is writable as seen by the service (mapped to /var/lib/private/garage on your host). Additionnaly, the process can not gain new privileges over time.*
To start the service then automatically enable it at boot:
```bash
sudo systemctl start garage
sudo systemctl enable garage
```
To see if the service is running and to browse its logs:
```bash
sudo systemctl status garage
sudo journalctl -u garage
```
If you want to modify the service file, do not forget to run `systemctl daemon-reload`
to inform `systemd` of your modifications.

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+++
title = "Upgrading Garage"
weight = 60
+++
Garage is a stateful clustered application, where all nodes are communicating together and share data structures.
It makes upgrade more difficult than stateless applications so you must be more careful when upgrading.
On a new version release, there is 2 possibilities:
- protocols and data structures remained the same ➡️ this is a **straightforward upgrade**
- protocols or data structures changed ➡️ this is an **advanced upgrade**
You can quickly now what type of update you will have to operate by looking at the version identifier.
Following the [SemVer ](https://semver.org/) terminology, if only the *patch* number changed, it will only need a straightforward upgrade.
Example: an upgrade from v0.6.0 from v0.6.1 is a straightforward upgrade.
If the *minor* or *major* number changed however, you will have to do an advanced upgrade. Example: from v0.6.1 to v0.7.0.
Migrations are designed to be run only between contiguous versions (from a *major*.*minor* perspective, *patches* can be skipped).
Example: migrations from v0.6.1 to v0.7.0 and from v0.6.0 to v0.7.0 are supported but migrations from v0.5.0 to v0.7.0 are not supported.
## Straightforward upgrades
Straightforward upgrades do not imply cluster downtime.
Before upgrading, you should still read [the changelog](https://git.deuxfleurs.fr/Deuxfleurs/garage/releases) and ideally test your deployment on a staging cluster before.
When you are ready, start by checking the health of your cluster.
You can force some checks with `garage repair`, we recommend at least running `garage repair --all-nodes --yes` that is very quick to run (less than a minute).
You will see that the command correctly terminated in the logs of your daemon.
Finally, you can simply upgrades nodes one by one.
For each node: stop it, install the new binary, edit the configuration if needed, restart it.
## Advanced upgrades
Advanced upgrades will imply cluster downtime.
Before upgrading, you must read [the changelog](https://git.deuxfleurs.fr/Deuxfleurs/garage/releases) and you must test your deployment on a staging cluster before.
From a high level perspective, an advanced upgrade looks like this:
1. Make sure the health of your cluster is good (see `garage repair`)
2. Disable API access (comment the configuration in your reverse proxy)
3. Check that your cluster is idle
4. Stop the whole cluster
5. Backup the metadata folder of all your nodes, so that you will be able to restore it quickly if the upgrade fails (blocks being immutable, they should not be impacted)
6. Install the new binary, update the configuration
7. Start the whole cluster
8. If needed, run the corresponding migration from `garage migrate`
9. Make sure the health of your cluster is good
10. Enable API access (uncomment the configuration in your reverse proxy)
11. Monitor your cluster while load comes back, check that all your applications are happy with this new version
We write guides for each advanced upgrade, they are stored under the "Working Documents" section of this documentation.

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+++
title = "Design"
weight = 6
sort_by = "weight"
template = "documentation.html"
+++
The design section helps you to see Garage from a "big picture"
perspective. It will allow you to understand if Garage is a good fit for
you, how to better use it, how to contribute to it, what can Garage could
and could not do, etc.
- **[Goals and use cases](@/documentation/design/goals.md):** This page explains why Garage was concieved and what practical use cases it targets.
- **[Related work](@/documentation/design/related-work.md):** This pages presents the theoretical background on which Garage is built, and describes other software storage solutions and why they didn't work for us.
- **[Internals](@/documentation/design/internals.md):** This page enters into more details on how Garage manages data internally.
## Talks
We love to talk and hear about Garage, that's why we keep a log here:
- [(fr, 2021-11-13, video) Garage : Mille et une façons de stocker vos données](https://video.tedomum.net/w/moYKcv198dyMrT8hCS5jz9) and [slides (html)](https://rfid.deuxfleurs.fr/presentations/2021-11-13/garage/) - during [RFID#1](https://rfid.deuxfleurs.fr/programme/2021-11-13/) event
- [(en, 2021-04-28) Distributed object storage is centralised](https://git.deuxfleurs.fr/Deuxfleurs/garage/raw/commit/b1f60579a13d3c5eba7f74b1775c84639ea9b51a/doc/talks/2021-04-28_spirals-team/talk.pdf)
- [(fr, 2020-12-02) Garage : jouer dans la cour des grands quand on est un hébergeur associatif](https://git.deuxfleurs.fr/Deuxfleurs/garage/raw/commit/b1f60579a13d3c5eba7f74b1775c84639ea9b51a/doc/talks/2020-12-02_wide-team/talk.pdf)
*Did you write or talk about Garage? [Open a pull request](https://git.deuxfleurs.fr/Deuxfleurs/garage/) to add a link here!*

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title = "Benchmarks"
weight = 40
+++
With Garage, we wanted to build a software defined storage service that follow the [KISS principle](https://en.wikipedia.org/wiki/KISS_principle),
that is suitable for geo-distributed deployments and more generally that would work well for community hosting (like a Mastodon instance).
In our benchmarks, we aim to quantify how Garage performs on these goals compared to the other available solutions.
## Geo-distribution
The main challenge in a geo-distributed setup is latency between nodes of the cluster.
The more a user request will require intra-cluster requests to complete, the more its latency will increase.
This is especially true for sequential requests: requests that must wait the result of another request to be sent.
We designed Garage without consensus algorithms (eg. Paxos or Raft) to minimize the number of sequential and parallel requests.
This serie of benchmarks quantifies the impact of this design choice.
### On a simple simulated network
We start with a controlled environment, all the instances are running on the same (powerful enough) machine.
To control the network latency, we simulate the network with [mknet](https://git.deuxfleurs.fr/trinity-1686a/mknet) (a tool we developped, based on `tc` and the linux network stack).
To mesure S3 endpoints latency, we use our own tool [s3lat](https://git.deuxfleurs.fr/quentin/s3lat/) to observe only the intra-cluster latency and not some contention on the nodes (CPU, RAM, disk I/O, network bandwidth, etc.).
Compared to other benchmark tools, S3Lat sends only one (small) request at the same time and measures its latency.
We selected 5 standard endpoints that are often in the critical path: ListBuckets, ListObjects, GetObject, PutObject and RemoveObject.
In this first benchmark, we consider 5 instances that are located in a different place each. To simulate the distance, we configure mknet with a RTT between each node of 100 ms +/- 20 ms of jitter. We get the following graph, where the colored bars represent the mean latency while the error bars the minimum and maximum one:
![Comparison of endpoints latency for minio and garage](./endpoint-latency.png)
Compared to garage, minio latency drastically increases on 3 endpoints: GetObject, PutObject, RemoveObject.
We suppose that these requests on minio make transactions over Raft, involving 4 sequential requests: 1) sending the message to the leader, 2) having the leader dispatch it to the other nodes, 3) waiting for the confirmation of followers and finally 4) commiting it. With our current configuration, one Raft transaction will take around 400 ms. GetObject seems to correlate to 1 transaction while PutObject and RemoveObject seems to correlate to 2 or 3. Reviewing minio code would be required to confirm this hypothesis.
Conversely, garage uses an architecture similar to DynamoDB and never require global cluster coordination to answer a request.
Instead, garage can always contact the right node in charge of the requested data, and can answer in as low as one request in the case of GetObject and PutObject. We also observed that Garage latency, while often lower to minio, is more dispersed: garage is still in beta and has not received any performance optimization yet.
As a conclusion, Garage performs well in such setup while minio will be hard to use, especially for interactive use cases.
### On a complex simulated network
This time we consider a more heterogeneous network with 6 servers spread in 3 datacenter, giving us 2 servers per datacenters.
We consider that intra-DC communications are now very cheap with a latency of 0.5ms and without any jitter.
The inter-DC remains costly with the same value as before (100ms +/- 20ms of jitter).
We plot a similar graph as before:
![Comparison of endpoints latency for minio and garage with 6 nodes in 3 DC](./endpoint-latency-dc.png)
This new graph is very similar to the one before, neither minio or garage seems to benefit from this new topology, but they also do not suffer from it.
Considering garage, this is expected: nodes in the same DC are put in the same zone, and then data are spread on different zones for data resiliency and availaibility.
Then, in the default mode, requesting data requires to query at least 2 zones to be sure that we have the most up to date information.
These requests will involve at least one inter-DC communication.
In other words, we prioritize data availability and synchronization over raw performances.
Minio's case is a bit different as by default a minio cluster is not location aware, so we can't explain its performances through location awareness.
*We know that minio has a multi site mode but it is definitely not a first class citizen: data are asynchronously replicated from one minio cluster to another.*
We suppose that, due to the consensus, for many of its requests minio will wait for a response of the majority of the server, also involving inter-DC communications.
As a conclusion, our new topology did not influence garage or minio performances, confirming that in presence of latency, garage is the best fit.
### On a real world deployment
*TODO*
## Performance stability
A storage cluster will encounter different scenario over its life, many of them will not be predictable.
In this context, we argue that, more than peak performances, we should seek predictable and stable performances to ensure data availability.
### Reference
*TODO*
### On a degraded cluster
*TODO*
### At scale
*TODO*

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+++
title = "Goals and use cases"
weight = 10
+++
## Goals and non-goals
Garage is a lightweight geo-distributed data store that implements the
[Amazon S3](https://docs.aws.amazon.com/AmazonS3/latest/API/Welcome.html)
object storage protocol. It enables applications to store large blobs such
as pictures, video, images, documents, etc., in a redundant multi-node
setting. S3 is versatile enough to also be used to publish a static
website.
Garage is an opinionated object storage solution, we focus on the following **desirable properties**:
- **Internet enabled**: made for multi-sites (eg. datacenters, offices, households, etc.) interconnected through regular Internet connections.
- **Self-contained & lightweight**: works everywhere and integrates well in existing environments to target [hyperconverged infrastructures](https://en.wikipedia.org/wiki/Hyper-converged_infrastructure).
- **Highly resilient**: highly resilient to network failures, network latency, disk failures, sysadmin failures.
- **Simple**: simple to understand, simple to operate, simple to debug.
We also noted that the pursuit of some other goals are detrimental to our initial goals.
The following has been identified as **non-goals** (if these points matter to you, you should not use Garage):
- **Extreme performances**: high performances constrain a lot the design and the infrastructure; we seek performances through minimalism only.
- **Feature extensiveness**: we do not plan to add additional features compared to the ones provided by the S3 API.
- **Storage optimizations**: erasure coding or any other coding technique both increase the difficulty of placing data and synchronizing; we limit ourselves to duplication.
- **POSIX/Filesystem compatibility**: we do not aim at being POSIX compatible or to emulate any kind of filesystem. Indeed, in a distributed environment, such synchronizations are translated in network messages that impose severe constraints on the deployment.
## Use-cases
*Are you also using Garage in your organization? [Open a PR](https://git.deuxfleurs.fr/Deuxfleurs/garage) to add your use case here!*
### Deuxfleurs
[Deuxfleurs](https://deuxfleurs.fr) is an experimental non-profit hosting
organization that develops Garage. Deuxfleurs is focused on building highly
available infrastructure through redundancy in multiple geographical
locations. They use Garage themselves for the following tasks:
- Hosting of [main website](https://deuxfleurs.fr), [this website](https://garagehq.deuxfleurs.fr), as well as the personal website of many of the members of the organization
- As a [Matrix media backend](https://github.com/matrix-org/synapse-s3-storage-provider)
- To store personal data and shared documents through [Bagage](https://git.deuxfleurs.fr/Deuxfleurs/bagage), a homegrown WebDav-to-S3 proxy
- In the Drone continuous integration platform to store task logs
- As a Nix binary cache
- As a backup target using `rclone`
The Deuxfleurs Garage cluster is a multi-site cluster currently composed of
4 nodes in 2 physical locations. In the future it will be expanded to at
least 3 physical locations to fully exploit Garage's potential for high
availability.

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+++
title = "Internals"
weight = 20
+++
## Overview
TODO: write this section
- The Dynamo ring (see [this paper](https://dl.acm.org/doi/abs/10.1145/1323293.1294281) and [that paper](https://www.usenix.org/conference/nsdi16/technical-sessions/presentation/eisenbud))
- CRDTs (see [this paper](https://link.springer.com/chapter/10.1007/978-3-642-24550-3_29))
- Consistency model of Garage tables
In the meantime, you can find some information at the following links:
- [this presentation (in French)](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/branch/main/doc/talks/2020-12-02_wide-team/talk.pdf)
- [an old design draft](@/documentation/working-documents/design-draft.md)
## Request routing logic
Data retrieval requests to Garage endpoints (S3 API and websites) are resolved
to an individual object in a bucket. Since objects are replicated to multiple nodes
Garage must ensure consistency before answering the request.
### Using quorum to ensure consistency
Garage ensures consistency by attempting to establish a quorum with the
data nodes responsible for the object. When a majority of the data nodes
have provided metadata on a object Garage can then answer the request.
When a request arrives Garage will, assuming the recommended 3 replicas, perform the following actions:
- Make a request to the two preferred nodes for object metadata
- Try the third node if one of the two initial requests fail
- Check that the metadata from at least 2 nodes match
- Check that the object hasn't been marked deleted
- Answer the request with inline data from metadata if object is small enough
- Or get data blocks from the preferred nodes and answer using the assembled object
Garage dynamically determines which nodes to query based on health, preference, and
which nodes actually host a given data. Garage has no concept of "primary" so any
healthy node with the data can be used as long as a quorum is reached for the metadata.
### Node health
Garage keeps a TCP session open to each node in the cluster and periodically pings them. If a connection
cannot be established, or a node fails to answer a number of pings, the target node is marked as failed.
Failed nodes are not used for quorum or other internal requests.
### Node preference
Garage prioritizes which nodes to query according to a few criteria:
- A node always prefers itself if it can answer the request
- Then the node prioritizes nodes in the same zone
- Finally the nodes with the lowest latency are prioritized
For further reading on the cluster structure look at the [gateway](@/documentation/cookbook/gateways.md)
and [cluster layout management](@/documentation/reference-manual/layout.md) pages.
## Garbage collection
A faulty garbage collection procedure has been the cause of
[critical bug #39](https://git.deuxfleurs.fr/Deuxfleurs/garage/issues/39).
This precise bug was fixed in the code, however there are potentially more
general issues with the garbage collector being too eager and deleting things
too early. This has been the subject of
[PR #135](https://git.deuxfleurs.fr/Deuxfleurs/garage/pulls/135).
This section summarizes the discussions on this topic.
Rationale: we want to ensure Garage's safety by making sure things don't get
deleted from disk if they are still needed. Two aspects are involved in this.
### 1. Garbage collection of table entries (in `meta/` directory)
The `Entry` trait used for table entries (defined in `tables/schema.rs`)
defines a function `is_tombstone()` that returns `true` if that entry
represents an entry that is deleted in the table. CRDT semantics by default
keep all tombstones, because they are necessary for reconciliation: if node A
has a tombstone that supersedes a value `x`, and node B has value `x`, A has to
keep the tombstone in memory so that the value `x` can be properly deleted at
node `B`. Otherwise, due to the CRDT reconciliation rule, the value `x` from B
would flow back to A and a deleted item would reappear in the system.
Here, we have some control on the nodes involved in storing Garage data.
Therefore we have a garbage collector that is able to delete tombstones UNDER
CERTAIN CONDITIONS. This garbage collector is implemented in `table/gc.rs`. To
delete a tombstone, the following condition has to be met:
- All nodes responsible for storing this entry are aware of the existence of
the tombstone, i.e. they cannot hold another version of the entry that is
superseeded by the tombstone. This ensures that deleting the tombstone is
safe and that no deleted value will come back in the system.
Garage makes use of Sled's atomic operations (such as compare-and-swap and
transactions) to ensure that only tombstones that have been correctly
propagated to other nodes are ever deleted from the local entry tree.
This GC is safe in the following sense: no non-tombstone data is ever deleted
from Garage tables.
**However**, there is an issue with the way this interacts with data
rebalancing in the case when a partition is moving between nodes. If a node has
some data of a partition for which it is not responsible, it has to offload it.
However that offload process takes some time. In that interval, the GC does not
check with that node if it has the tombstone before deleting the tombstone, so
perhaps it doesn't have it and when the offload finally happens, old data comes
back in the system.
**PR 135 mostly fixes this** by implementing a 24-hour delay before anything is
garbage collected in a table. This works under the assumption that rebalances
that follow data shuffling terminate in less than 24 hours.
**However**, in distributed systems, it is generally considered a bad practice
to make assumptions that information propagates in a certain time interval:
this consists in making a synchrony assumption, meaning that we are basically
assuming a computing model that has much stronger properties than otherwise. To
maximize the applicability of Garage, we would like to remove this assumption,
and implement a system where time does not play a role. To do this, we would
need to find a way to safely disable the GC when data is being shuffled around,
and safely detect that the shuffling has terminated and thus the GC can be
resumed. This introduces some complexity to the protocol and hasn't been
tackled yet.
### 2. Garbage collection of data blocks (in `data/` directory)
Blocks in the data directory are reference-counted. In Garage versions before
PR #135, blocks could get deleted from local disk as soon as their reference
counter reached zero. We had a mechanism to not trigger this immediately at the
rc-reaches-zero event, but the cleanup could be triggered by other means (for
example by a block repair operation...). PR #135 added a safety measure so that
blocks never get deleted in a 10 minute interval following the time when the RC
reaches zero. This is a measure to make impossible race conditions such as #39.
We would have liked to use a larger delay (e.g. 24 hours), but in the case of a
rebalance of data, this would have led to the disk utilization to explode
during the rebalancing, only to shrink again after 24 hours. The 10-minute
delay is a compromise that gives good security while not having this problem of
disk space explosion on rebalance.

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+++
title = "Development"
weight = 7
sort_by = "weight"
template = "documentation.html"
+++
Now that you are a Garage expert, you want to enhance it, you are in the right place!
We discuss here how to hack on Garage, how we manage its development, etc.
## Rust API (docs.rs)
If you encounter a specific bug in Garage or plan to patch it, you may jump directly to the source code's documentation!
- [garage\_api](https://docs.rs/garage_api/latest/garage_api/) - contains the S3 standard API endpoint
- [garage\_model](https://docs.rs/garage_model/latest/garage_model/) - contains Garage's model built on the table abstraction
- [garage\_rpc](https://docs.rs/garage_rpc/latest/garage_rpc/) - contains Garage's federation protocol
- [garage\_table](https://docs.rs/garage_table/latest/garage_table/) - contains core Garage's CRDT datatypes
- [garage\_util](https://docs.rs/garage_util/latest/garage_util/) - contains garage helpers
- [garage\_web](https://docs.rs/garage_web/latest/garage_web/) - contains the S3 website endpoint

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+++
title = "Setup your environment"
weight = 5
+++
Depending on your tastes, you can bootstrap your development environment in a traditional Rust way or through Nix.
## The Nix way
Nix is a generic package manager we use to precisely define our development environment.
Instructions on how to install it are given on their [Download page](https://nixos.org/download.html).
Check that your installation is working by running the following commands:
```
nix-shell --version
nix-build --version
nix-env --version
```
Now, you can clone our git repository (run `nix-env -iA git` if you do not have git yet):
```bash
git clone https://git.deuxfleurs.fr/Deuxfleurs/garage
cd garage
```
*Optionnaly, you can use our nix.conf file to speed up compilations:*
```bash
sudo mkdir -p /etc/nix
sudo cp nix/nix.conf /etc/nix/nix.conf
sudo killall nix-daemon
```
Now you can enter our nix-shell, all the required packages will be downloaded but they will not pollute your environment outside of the shell:
```bash
nix-shell
```
You can use the traditionnal Rust development workflow:
```bash
cargo build # compile the project
cargo run # execute the project
cargo test # run the tests
cargo fmt # format the project, run it before any commit!
cargo clippy # run the linter, run it before any commit!
```
You can build the project with Nix by running:
```bash
nix-build
```
You can parallelize the build (if you use our nix.conf file, it is already automatically done).
To use all your cores when building a derivation use `-j`, and to build multiple derivations at once use `--max-jobs`.
The special value `auto` will be replaced by the number of cores of your computer.
An example:
```bash
nix-build -j $(nproc) --max-jobs auto
```
Our build has multiple parameters you might want to set:
- `release` build with release optimisations instead of debug
- `target allows` for cross compilation
- `compileMode` can be set to test or bench to build a unit test runner
- `git_version` to inject the hash to display when running `garage stats`
An example:
```bash
nix-build \
--arg release true \
--argstr target x86_64-unknown-linux-musl \
--argstr compileMode build \
--git_version $(git rev-parse HEAD)
```
*The result is located in `result/bin`. You can pass arguments to cross compile: check `.drone.yml` for examples.*
If you modify a `Cargo.toml` or regenerate any `Cargo.lock`, you must run `cargo2nix`:
```
cargo2nix -f
```
Many tools like rclone, `mc` (minio-client), or `aws` (awscliv2) will be available in your environment and will be useful to test Garage.
**This is the recommended method.**
## The Rust way
You need a Rust distribution installed on your computer.
The most simple way is to install it from [rustup](https://rustup.rs).
Please avoid using your package manager to install Rust as some tools might be outdated or missing.
Now, check your Rust distribution works by running the following commands:
```bash
rustc --version
cargo --version
rustfmt --version
clippy-driver --version
```
Now, you need to clone our git repository ([how to install git](https://git-scm.com/downloads)):
```bash
git clone https://git.deuxfleurs.fr/Deuxfleurs/garage
cd garage
```
You can now use the following commands:
```bash
cargo build # compile the project
cargo run # execute the project
cargo test # run the tests
cargo fmt # format the project, run it before any commit!
cargo clippy # run the linter, run it before any commit!
```
This is specific to our project, but you will need one last tool, `cargo2nix`.
To install it, run:
```bash
cargo install --git https://github.com/superboum/cargo2nix --branch main cargo2nix
```
You must use it every time you modify a `Cargo.toml` or regenerate a `Cargo.lock` file as follow:
```bash
cargo build # Rebuild Cargo.lock if needed
cargo2nix -f
```
It will output a `Cargo.nix` file which is a specific `Cargo.lock` file dedicated to Nix that is required by our CI
which means you must include it in your commits.
Later, to use our scripts and integration tests, you might need additional tools.
These tools are listed at the end of the `shell.nix` package in the `nativeBuildInputs` part.
It is up to you to find a way to install the ones you need on your computer.
**A global drawback of this method is that it is up to you to adapt your environment to the one defined in the Nix files.**

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title = "Miscellaneous notes"
weight = 20
+++
## Quirks about cargo2nix/rust in Nix
If you use submodules in your crate (like `crdt` and `replication` in `garage_table`), you must list them in `default.nix`
The Windows target does not work. it might be solvable through [overrides](https://github.com/cargo2nix/cargo2nix/blob/master/overlay/overrides.nix). Indeed, we pass `x86_64-pc-windows-gnu` but mingw need `x86_64-w64-mingw32`
We have a simple [PR on cargo2nix](https://github.com/cargo2nix/cargo2nix/pull/201) that fixes critical bugs but the project does not seem very active currently. We must use [my patched version of cargo2nix](https://github.com/superboum/cargo2nix) to enable i686 and armv6l compilation. We might need to contribute to cargo2nix in the future.
## Nix
Nix has no armv7 + musl toolchains but armv7l is backward compatible with armv6l.
```bash
cat > $HOME/.awsrc <<EOF
export AWS_ACCESS_KEY_ID="xxx"
export AWS_SECRET_ACCESS_KEY="xxx"
EOF
# source each time you want to send on the cache
source ~/.awsrc
# copy garage build dependencies (and not only the output)
nix-build
nix-store -qR --include-outputs $(nix-instantiate default.nix)
| xargs nix copy --to 's3://nix?endpoint=garage.deuxfleurs.fr&region=garage'
# copy shell dependencies
nix-build shell.nix -A inputDerivation
nix copy $(nix-store -qR result/) --to 's3://nix?endpoint=garage.deuxfleurs.fr&region=garage'
```
More example of nix-copy
```
# nix-build produces a result/ symlink
nix copy result/ --to 's3://nix?endpoint=garage.deuxfleurs.fr&region=garage'
# alternative ways to use nix copy
nix copy nixpkgs.garage --to ...
nix copy /nix/store/3rbb9qsc2w6xl5xccz5ncfhy33nzv3dp-crate-garage-0.3.0 --to ...
```
Clear the cache:
```bash
mc rm --recursive --force garage/nix/
```
---
A desirable `nix.conf` for a consumer:
```toml
substituters = https://cache.nixos.org https://nix.web.deuxfleurs.fr
trusted-public-keys = cache.nixos.org-1:6NCHdD59X431o0gWypbMrAURkbJ16ZPMQFGspcDShjY= nix.web.deuxfleurs.fr:eTGL6kvaQn6cDR/F9lDYUIP9nCVR/kkshYfLDJf1yKs=
```
And now, whenever you run a command like:
```
nix-shell
nix-build
```
Our cache will be checked.
### Some references about Nix
- https://doc.rust-lang.org/nightly/rustc/platform-support.html
- https://nix.dev/tutorials/cross-compilation
- https://nixos.org/manual/nix/unstable/package-management/s3-substituter.html
- https://fzakaria.com/2020/09/28/nix-copy-closure-your-nix-shell.html
- http://www.lpenz.org/articles/nixchannel/index.html
## Drone
Do not try to set a build as trusted from the interface or the CLI tool,
your request would be ignored. Instead, directly edit the database (table `repos`, column `repo_trusted`).
Drone can do parallelism both at the step and the pipeline level. At the step level, parallelism is restricted to the same runner.
## Building Docker containers
We were:
- Unable to use the official Docker plugin because
- it requires to mount docker socket in the container but it is not recommended
- you cant set the platform when building
- Unable to use buildah because it needs `CLONE_USERNS` capability
- Unable to use the kaniko plugin for Drone as we can't set the target platform
- Unable to use the kaniko container provided by Google as we can't run arbitrary logic: we need to put our secret in .docker/config.json.
Finally we chose to build kaniko through nix and use it in a `nix-shell`.

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title = "Release process"
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Before releasing a new version of Garage, our code pass through a succession of checks and transformations.
We define them as our release process.
## Trigger and classify a release
While we run some tests on every commits, we do not make a release for all of them.
A release can be triggered manually by "promoting" a successful build.
Otherwise, every weeks, a release build is triggered on the `main` branch.
If the build is from a tag following the regex: `v[0-9]+\.[0-9]+\.[0-9]+`, it will be listed as stable.
If it is a tag but with a different format, it will be listed as Extra.
Otherwise, if it is a commit, it will be listed as development.
This logic is defined in `nix/build_index.nix`.
## Testing
For each commit, we first pass the code to a formatter (rustfmt) and a linter (clippy).
Then we try to build it in debug mode and run both unit tests and our integration tests.
Additionnaly, when releasing, our integration tests are run on the release build for amd64 and i686.
## Generated Artifacts
We generate the following binary artifacts for now:
- **architecture**: amd64, i686, aarch64, armv6
- **os**: linux
- **format**: static binary, docker container
Additionnaly we also build two web pages and one JSON document:
- the documentation (this website)
- [the release page](https://garagehq.deuxfleurs.fr/_releases.html)
- [the release list in JSON format](https://garagehq.deuxfleurs.fr/_releases.json)
We publish the static binaries on our own garage cluster (you can access them through the releases page)
and the docker containers on Docker Hub.
## Automation
We automated our release process with Nix and Drone to make it more reliable.
Here we describe how we have done in case you want to debug or improve it.
### Caching build steps
To speed up the CI, we use the caching feature provided by Nix.
You can benefit from it by using our provided `nix.conf` as recommended or by simply adding the following lines to your file:
```toml
substituters = https://cache.nixos.org https://nix.web.deuxfleurs.fr
trusted-public-keys = cache.nixos.org-1:6NCHdD59X431o0gWypbMrAURkbJ16ZPMQFGspcDShjY= nix.web.deuxfleurs.fr:eTGL6kvaQn6cDR/F9lDYUIP9nCVR/kkshYfLDJf1yKs=
```
Sending to the cache is done through `nix copy`, for example:
```bash
nix copy --to 's3://nix?endpoint=garage.deuxfleurs.fr&region=garage&secret-key=/etc/nix/signing-key.sec' result
```
*Note that you need the signing key. In our case, it is stored as a secret in Drone.*
The previous command will only send the built packet and not its dependencies.
To send its dependency, a tool named `nix-copy-closure` has been created but it is not compatible with the S3 protocol.
Instead, you can use the following commands to list all the runtime dependencies:
```bash
nix copy \
--to 's3://nix?endpoint=garage.deuxfleurs.fr&region=garage&secret-key=/etc/nix/signing-key.sec' \
$(nix-store -qR result/)
```
*We could also write this expression with xargs but this tool is not available in our container.*
But in certain cases, we want to cache compile time dependencies also.
For example, the Nix project does not provide binaries for cross compiling to i686 and thus we need to compile gcc on our own.
We do not want to compile gcc each time, so even if it is a compile time dependency, we want to cache it.
This time, the command is a bit more involved:
```bash
nix copy --to \
's3://nix?endpoint=garage.deuxfleurs.fr&region=garage&secret-key=/etc/nix/signing-key.sec' \
$(nix-store -qR --include-outputs \
$(nix-instantiate))
```
This is the command we use in our CI as we expect the final binary to change, so we mainly focus on
caching our development dependencies.
*Currently there is no automatic garbage collection of the cache: we should monitor its growth.
Hopefully, we can erase it totally without breaking any build, the next build will only be slower.*
In practise, we concluded that we do not want to cache all the compilation dependencies.
Instead, we want to cache the toolchain we use to build Garage each time we change it.
So we removed from Drone any automatic update of the cache and instead handle them manually with:
```
source ~/.awsrc
nix-shell --run 'refresh_toolchain'
```
Internally, it will run `nix-build` on `nix/toolchain.nix` and send the output plus its depedencies to the cache.
To erase the cache:
```
mc rm --recursive --force 'garage/nix/'
```
### Publishing Garage
We defined our publishing logic in Nix, mostly as shell hooks.
You can inspect them in `shell.nix` to see exactly how.
Here, we will give a quick explanation on how to use them to manually publish a release.
Supposing you just have built garage as follow:
```bash
nix-build --arg release true
```
To publish a static binary in `result/bin` on garagehq, run:
```bash
export AWS_ACCESS_KEY_ID=xxx
export AWS_SECRET_ACCESS_KEY=xxx
export DRONE_TAG=handcrafted-1.0.0 # or DRONE_COMMIT
export TARGET=x86_64-unknown-linux-musl
nix-shell --run to_s3
```
To create and publish a docker container, run:
```bash
export DOCKER_AUTH='{ "auths": { "https://index.docker.io/v1/": { "auth": "xxxx" }}}'
export DOCKER_PLATFORM='linux/amd64' # check GOARCH and GOOS from golang.org
export CONTAINER_NAME='me/amd64_garage'
export CONTAINER_TAG='handcrafted-1.0.0'
nix-shell --run to_docker
```
To rebuild the release page, run:
```bash
export AWS_ACCESS_KEY_ID=xxx
export AWS_SECRET_ACCESS_KEY=xxx
nix-shell --run refresh_index
```
If you want to compile for different architectures, you will need to repeat all these commands for each architecture.
**In practise, and except for debugging, you will never directly run these commands. Release is handled by drone**
### Drone
Our instance is available at [https://drone.deuxfleurs.fr](https://drone.deuxfleurs.fr).
You need an account on [https://git.deuxfleurs.fr](https://git.deuxfleurs.fr) to use it.
**Drone CLI** - Drone has a CLI tool to interact with.
It can be downloaded from its Github [release page](https://github.com/drone/drone-cli/releases).
To communicate with our instance, you must setup some environment variables.
You can get them from your [Account Settings](https://drone.deuxfleurs.fr/account).
To make drone easier to use, you could create a `~/.dronerc` that you could source each time you want to use it.
```
export DRONE_SERVER=https://drone.deuxfleurs.fr
export DRONE_TOKEN=xxx
drone info
```
The CLI tool is very self-discoverable, just append `--help` to each subcommands.
Start with:
```bash
drone --help
```
**.drone.yml** - The builds steps are defined in `.drone.yml`.
You can not edit this file without resigning it.
To sign it, you must be a maintainer and then run:
```bash
drone sign --save Deuxfleurs/garage
```
Looking at the file, you will see that most of the commands are `nix-shell` and `nix-build` commands with various parameters.

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title = "Development scripts"
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We maintain a `script/` folder that contains some useful script to ease testing on Garage.
A fully integrated script, `test-smoke.sh`, runs some basic tests on various tools such as minio client, awscli and rclone.
To run it, enter a `nix-shell` (or install all required tools) and simply run:
```bash
nix-build # or cargo build
./script/test-smoke.sh
```
If something fails, you can find useful logs in `/tmp/garage.log`.
You can inspect the generated configuration and local data created by inspecting your `/tmp` directory:
the script creates files and folder prefixed with the name "garage".
## Bootstrapping a test cluster
Under the hood `test-smoke.sh` uses multiple helpers scripts you can also run in case you want to manually test Garage.
In this section, we introduce 3 scripts to quickly bootstrap a full test cluster with 3 instances.
### 1. Start each daemon
```bash
./script/dev-cluster.sh
```
This script spawns 3 Garage instances with 3 configuration files.
You can inspect the detailed configuration, including ports, by inspecting `/tmp/config.1` (change 1 by the instance number you want).
This script also spawns a simple HTTPS reverse proxy through `socat` for the S3 endpoint that listens on port `4443`.
Some libraries might require a TLS endpoint to work, refer to our issue [#64](https://git.deuxfleurs.fr/Deuxfleurs/garage/issues/64) for more detailed information on this subject.
This script covers the [Launching the garage server](@/documentation/quick-start/_index.md#launching-the-garage-server) section of our Quick start page.
### 2. Make them join the cluster
```bash
./script/dev-configure.sh
```
This script will configure each instance by assigning them a zone (`dc1`) and a weight (`1`).
This script covers the [Creating a cluster layout](@/documentation/quick-start/_index.md#creating-a-cluster-layout) section of our Quick start page.
### 3. Create a key and a bucket
```bash
./script/dev-bucket.sh
```
This script will create a bucket named `eprouvette` with a key having read and write rights on this bucket.
The key is stored in a filed named `/tmp/garage.s3` and can be used by the following tools to pre-configure them.
This script covers the [Creating buckets and keys](@/documentation/quick-start/_index.md#creating-buckets-and-keys) section of our Quick start page.
## Handlers for generic tools
We provide wrappers for some CLI tools that configure themselves for your development cluster.
They are meant to save you some configuration time as to use them, you are only required to source the right file.
### awscli
```bash
source ./script/dev-env-aws.sh
# some examples
aws s3 ls s3://eprouvette
aws s3 cp /proc/cpuinfo s3://eprouvette/cpuinfo.txt
```
### minio-client
```bash
source ./script/dev-env-mc.sh
# some examples
mc ls garage/
mc cp /proc/cpuinfo garage/eprouvette/cpuinfo.txt
```
### rclone
```bash
source ./script/dev-env-rclone.sh
# some examples
rclone lsd garage:
rclone copy /proc/cpuinfo garage:eprouvette/cpuinfo.txt
```
### s3cmd
```bash
source ./script/dev-env-s3cmd.sh
# some examples
s3cmd ls
s3cmd put /proc/cpuinfo s3://eprouvette/cpuinfo.txt
```
### duck
*Warning! Duck is not yet provided by nix-shell.*
```bash
source ./script/dev-env-duck.sh
# some examples
duck --list garage:/
duck --upload garage:/eprouvette/ /proc/cpuinfo
```

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title = "Quick Start"
weight = 0
sort_by = "weight"
template = "documentation.html"
+++
Let's start your Garage journey!
In this chapter, we explain how to deploy Garage as a single-node server
and how to interact with it.
## What is Garage?
Before jumping in, you might be interested in reading the following pages:
- [Goals and use cases](@/documentation/design/goals.md)
- [List of features](@/documentation/reference-manual/features.md)
## Scope of this tutorial
Our goal is to introduce you to Garage's workflows.
Following this guide is recommended before moving on to
[configuring a multi-node cluster](@/documentation/cookbook/real-world.md).
Note that this kind of deployment should not be used in production,
as it provides no redundancy for your data!
## Get a binary
Download the latest Garage binary from the release pages on our repository:
<https://garagehq.deuxfleurs.fr/download/>
Place this binary somewhere in your `$PATH` so that you can invoke the `garage`
command directly (for instance you can copy the binary in `/usr/local/bin`
or in `~/.local/bin`).
If a binary of the last version is not available for your architecture,
or if you want a build customized for your system,
you can [build Garage from source](@/documentation/cookbook/from-source.md).
## Configuring and starting Garage
### Generating a first configuration file
This first configuration file should allow you to get started easily with the simplest
possible Garage deployment.
We will create it with the following command line
to generate unique and private secrets for security reasons:
```bash
cat > garage.toml <<EOF
metadata_dir = "/tmp/meta"
data_dir = "/tmp/data"
db_engine = "lmdb"
replication_mode = "none"
rpc_bind_addr = "[::]:3901"
rpc_public_addr = "127.0.0.1:3901"
rpc_secret = "$(openssl rand -hex 32)"
[s3_api]
s3_region = "garage"
api_bind_addr = "[::]:3900"
root_domain = ".s3.garage.localhost"
[s3_web]
bind_addr = "[::]:3902"
root_domain = ".web.garage.localhost"
index = "index.html"
[k2v_api]
api_bind_addr = "[::]:3904"
[admin]
api_bind_addr = "0.0.0.0:3903"
admin_token = "$(openssl rand -base64 32)"
EOF
```
Now that your configuration file has been created, you can put
it in the right place. By default, garage looks at **`/etc/garage.toml`.**
You can also store it somewhere else, but you will have to specify `-c path/to/garage.toml`
at each invocation of the `garage` binary (for example: `garage -c ./garage.toml server`, `garage -c ./garage.toml status`).
As you can see, the `rpc_secret` is a 32 bytes hexadecimal string.
You can regenerate it with `openssl rand -hex 32`.
If you target a cluster deployment with multiple nodes, make sure that
you use the same value for all nodes.
As you can see in the `metadata_dir` and `data_dir` parameters, we are saving Garage's data
in `/tmp` which gets erased when your system reboots. This means that data stored on this
Garage server will not be persistent. Change these to locations on your local disk if you want
your data to be persisted properly.
### Launching the Garage server
Use the following command to launch the Garage server with our configuration file:
```
garage server
```
You can tune Garage's verbosity as follows (from less verbose to more verbose):
```
RUST_LOG=garage=info garage server
RUST_LOG=garage=debug garage server
RUST_LOG=garage=trace garage server
```
Log level `info` is the default value and is recommended for most use cases.
Log level `debug` can help you check why your S3 API calls are not working.
### Checking that Garage runs correctly
The `garage` utility is also used as a CLI tool to configure your Garage deployment.
It uses values from the TOML configuration file to find the Garage daemon running on the
local node, therefore if your configuration file is not at `/etc/garage.toml` you will
again have to specify `-c path/to/garage.toml`.
If the `garage` CLI is able to correctly detect the parameters of your local Garage node,
the following command should be enough to show the status of your cluster:
```
garage status
```
This should show something like this:
```
==== HEALTHY NODES ====
ID Hostname Address Tag Zone Capacity
563e1ac825ee3323… linuxbox 127.0.0.1:3901 NO ROLE ASSIGNED
```
## Creating a cluster layout
Creating a cluster layout for a Garage deployment means informing Garage
of the disk space available on each node of the cluster
as well as the zone (e.g. datacenter) each machine is located in.
For our test deployment, we are using only one node. The way in which we configure
it does not matter, you can simply write:
```bash
garage layout assign -z dc1 -c 1 <node_id>
```
where `<node_id>` corresponds to the identifier of the node shown by `garage status` (first column).
You can enter simply a prefix of that identifier.
For instance here you could write just `garage layout assign -z dc1 -c 1 563e`.
The layout then has to be applied to the cluster, using:
```bash
garage layout apply
```
## Creating buckets and keys
In this section, we will suppose that we want to create a bucket named `nextcloud-bucket`
that will be accessed through a key named `nextcloud-app-key`.
Don't forget that `help` command and `--help` subcommands can help you anywhere,
the CLI tool is self-documented! Two examples:
```
garage help
garage bucket allow --help
```
### Create a bucket
Let's take an example where we want to deploy NextCloud using Garage as the
main data storage.
First, create a bucket with the following command:
```
garage bucket create nextcloud-bucket
```
Check that everything went well:
```
garage bucket list
garage bucket info nextcloud-bucket
```
### Create an API key
The `nextcloud-bucket` bucket now exists on the Garage server,
however it cannot be accessed until we add an API key with the proper access rights.
Note that API keys are independent of buckets:
one key can access multiple buckets, multiple keys can access one bucket.
Create an API key using the following command:
```
garage key new --name nextcloud-app-key
```
The output should look as follows:
```
Key name: nextcloud-app-key
Key ID: GK3515373e4c851ebaad366558
Secret key: 7d37d093435a41f2aab8f13c19ba067d9776c90215f56614adad6ece597dbb34
Authorized buckets:
```
Check that everything works as intended:
```
garage key list
garage key info nextcloud-app-key
```
### Allow a key to access a bucket
Now that we have a bucket and a key, we need to give permissions to the key on the bucket:
```
garage bucket allow \
--read \
--write \
--owner \
nextcloud-bucket \
--key nextcloud-app-key
```
You can check at any time the allowed keys on your bucket with:
```
garage bucket info nextcloud-bucket
```
## Uploading and downlading from Garage
To download and upload files on garage, we can use a third-party tool named `awscli`.
### Install and configure `awscli`
If you have python on your system, you can install it with:
```bash
python -m pip install --user awscli
```
Now that `awscli` is installed, you must configure it to talk to your Garage instance,
with your key. There are multiple ways to do that, the simplest one is to create a file
named `~/.awsrc` with this content:
```bash
export AWS_ACCESS_KEY_ID=xxxx # put your Key ID here
export AWS_SECRET_ACCESS_KEY=xxxx # put your Secret key here
export AWS_DEFAULT_REGION='garage'
export AWS_ENDPOINT='http://localhost:3900'
function aws { command aws --endpoint-url $AWS_ENDPOINT $@ ; }
aws --version
```
Now, each time you want to use `awscli` on this target, run:
```bash
source ~/.awsrc
```
*You can create multiple files with different names if you
have multiple Garage clusters or different keys.
Switching from one cluster to another is as simple as
sourcing the right file.*
### Example usage of `awscli`
```bash
# list buckets
aws s3 ls
# list objects of a bucket
aws s3 ls s3://my_files
# copy from your filesystem to garage
aws s3 cp /proc/cpuinfo s3://my_files/cpuinfo.txt
# copy from garage to your filesystem
aws s3 cp s3/my_files/cpuinfo.txt /tmp/cpuinfo.txt
```
Note that you can use `awscli` for more advanced operations like
creating a bucket, pre-signing a request or managing your website.
[Read the full documentation to know more](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/s3/index.html).
Some features are however not implemented like ACL or policy.
Check [our s3 compatibility list](@/documentation/reference-manual/s3-compatibility.md).
### Other tools for interacting with Garage
The following tools can also be used to send and recieve files from/to Garage:
- [minio-client](@/documentation/connect/cli.md#minio-client)
- [s3cmd](@/documentation/connect/cli.md#s3cmd)
- [rclone](@/documentation/connect/cli.md#rclone)
- [Cyberduck](@/documentation/connect/cli.md#cyberduck)
- [WinSCP](@/documentation/connect/cli.md#winscp)
An exhaustive list is maintained in the ["Integrations" > "Browsing tools" section](@/documentation/connect/_index.md).

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title = "Administration API"
weight = 60
+++
The Garage administration API is accessible through a dedicated server whose
listen address is specified in the `[admin]` section of the configuration
file (see [configuration file
reference](@/documentation/reference-manual/configuration.md))
**WARNING.** At this point, there is no comittement to stability of the APIs described in this document.
We will bump the version numbers prefixed to each API endpoint at each time the syntax
or semantics change, meaning that code that relies on these endpoint will break
when changes are introduced.
The Garage administration API was introduced in version 0.7.2, this document
does not apply to older versions of Garage.
## Access control
The admin API uses two different tokens for acces control, that are specified in the config file's `[admin]` section:
- `metrics_token`: the token for accessing the Metrics endpoint (if this token
is not set in the config file, the Metrics endpoint can be accessed without
access control);
- `admin_token`: the token for accessing all of the other administration
endpoints (if this token is not set in the config file, access to these
endpoints is disabled entirely).
These tokens are used as simple HTTP bearer tokens. In other words, to
authenticate access to an admin API endpoint, add the following HTTP header
to your request:
```
Authorization: Bearer <token>
```
## Administration API endpoints
### Metrics-related endpoints
#### Metrics `GET /metrics`
Returns internal Garage metrics in Prometheus format.
### Cluster operations
These endpoints are defined on a dedicated [Redocly page](https://garagehq.deuxfleurs.fr/api/garage-admin-v0.html). You can also download its [OpenAPI specification](https://garagehq.deuxfleurs.fr/api/garage-admin-v0.yml).
Requesting the API from the command line can be as simple as running:
```bash
curl -H 'Authorization: Bearer s3cr3t' http://localhost:3903/v0/status | jq
```
For more advanced use cases, we recommend using a SDK.
[Go to the "Build your own app" section to know how to use our SDKs](@/documentation/build/_index.md)

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title = "Garage CLI"
weight = 30
+++
The Garage CLI is mostly self-documented. Make use of the `help` subcommand
and the `--help` flag to discover all available options.

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+++
title = "Configuration file format"
weight = 20
+++
Here is an example `garage.toml` configuration file that illustrates all of the possible options:
```toml
metadata_dir = "/var/lib/garage/meta"
data_dir = "/var/lib/garage/data"
db_engine = "lmdb"
block_size = 1048576
sled_cache_capacity = 134217728
sled_flush_every_ms = 2000
replication_mode = "3"
compression_level = 1
rpc_secret = "4425f5c26c5e11581d3223904324dcb5b5d5dfb14e5e7f35e38c595424f5f1e6"
rpc_bind_addr = "[::]:3901"
rpc_public_addr = "[fc00:1::1]:3901"
bootstrap_peers = [
"563e1ac825ee3323aa441e72c26d1030d6d4414aeb3dd25287c531e7fc2bc95d@[fc00:1::1]:3901",
"86f0f26ae4afbd59aaf9cfb059eefac844951efd5b8caeec0d53f4ed6c85f332[fc00:1::2]:3901",
"681456ab91350f92242e80a531a3ec9392cb7c974f72640112f90a600d7921a4@[fc00:B::1]:3901",
"212fd62eeaca72c122b45a7f4fa0f55e012aa5e24ac384a72a3016413fa724ff@[fc00:F::1]:3901",
]
[consul_discovery]
consul_http_addr = "http://127.0.0.1:8500"
service_name = "garage-daemon"
ca_cert = "/etc/consul/consul-ca.crt"
client_cert = "/etc/consul/consul-client.crt"
client_key = "/etc/consul/consul-key.crt"
tls_skip_verify = false
[kubernetes_discovery]
namespace = "garage"
service_name = "garage-daemon"
skip_crd = false
[s3_api]
api_bind_addr = "[::]:3900"
s3_region = "garage"
root_domain = ".s3.garage"
[s3_web]
bind_addr = "[::]:3902"
root_domain = ".web.garage"
[admin]
api_bind_addr = "0.0.0.0:3903"
metrics_token = "cacce0b2de4bc2d9f5b5fdff551e01ac1496055aed248202d415398987e35f81"
admin_token = "ae8cb40ea7368bbdbb6430af11cca7da833d3458a5f52086f4e805a570fb5c2a"
trace_sink = "http://localhost:4317"
```
The following gives details about each available configuration option.
## Available configuration options
### `metadata_dir`
The directory in which Garage will store its metadata. This contains the node identifier,
the network configuration and the peer list, the list of buckets and keys as well
as the index of all objects, object version and object blocks.
Store this folder on a fast SSD drive if possible to maximize Garage's performance.
### `data_dir`
The directory in which Garage will store the data blocks of objects.
This folder can be placed on an HDD. The space available for `data_dir`
should be counted to determine a node's capacity
when [adding it to the cluster layout](@/documentation/cookbook/real-world.md).
### `db_engine` (since `v0.8.0`)
By default, Garage uses the Sled embedded database library
to store its metadata on-disk. Since `v0.8.0`, Garage can use alternative storage backends as follows:
| DB engine | `db_engine` value | Database path |
| --------- | ----------------- | ------------- |
| [Sled](https://sled.rs) | `"sled"` | `<metadata_dir>/db/` |
| [LMDB](https://www.lmdb.tech) | `"lmdb"` | `<metadata_dir>/db.lmdb/` |
| [Sqlite](https://sqlite.org) | `"sqlite"` | `<metadata_dir>/db.sqlite` |
Performance characteristics of the different DB engines are as follows:
- Sled: the default database engine, which tends to produce
large data files and also has performance issues, especially when the metadata folder
is on a traditionnal HDD and not on SSD.
- LMDB: the recommended alternative on 64-bit systems,
much more space-efficiant and slightly faster. Note that the data format of LMDB is not portable
between architectures, so for instance the Garage database of an x86-64
node cannot be moved to an ARM64 node. Also note that, while LMDB can technically be used on 32-bit systems,
this will limit your node to very small database sizes due to how LMDB works; it is therefore not recommended.
- Sqlite: Garage supports Sqlite as a storage backend for metadata,
however it may have issues and is also very slow in its current implementation,
so it is not recommended to be used for now.
It is possible to convert Garage's metadata directory from one format to another with a small utility named `convert_db`,
which can be downloaded at the following locations:
[for amd64](https://garagehq.deuxfleurs.fr/_releases/convert_db/amd64/convert_db),
[for i386](https://garagehq.deuxfleurs.fr/_releases/convert_db/i386/convert_db),
[for arm64](https://garagehq.deuxfleurs.fr/_releases/convert_db/arm64/convert_db),
[for arm](https://garagehq.deuxfleurs.fr/_releases/convert_db/arm/convert_db).
The `convert_db` utility is used as folows:
```
convert-db -a <input db engine> -i <input db path> \
-b <output db engine> -o <output db path>
```
Make sure to specify the full database path as presented in the table above,
and not just the path to the metadata directory.
### `block_size`
Garage splits stored objects in consecutive chunks of size `block_size`
(except the last one which might be smaller). The default size is 1MB and
should work in most cases. We recommend increasing it to e.g. 10MB if
you are using Garage to store large files and have fast network connections
between all nodes (e.g. 1gbps).
If you are interested in tuning this, feel free to do so (and remember to
report your findings to us!). When this value is changed for a running Garage
installation, only files newly uploaded will be affected. Previously uploaded
files will remain available. This however means that chunks from existing files
will not be deduplicated with chunks from newly uploaded files, meaning you
might use more storage space that is optimally possible.
### `sled_cache_capacity`
This parameter can be used to tune the capacity of the cache used by
[sled](https://sled.rs), the database Garage uses internally to store metadata.
Tune this to fit the RAM you wish to make available to your Garage instance.
This value has a conservative default (128MB) so that Garage doesn't use too much
RAM by default, but feel free to increase this for higher performance.
### `sled_flush_every_ms`
This parameters can be used to tune the flushing interval of sled.
Increase this if sled is thrashing your SSD, at the risk of losing more data in case
of a power outage (though this should not matter much as data is replicated on other
nodes). The default value, 2000ms, should be appropriate for most use cases.
### `replication_mode`
Garage supports the following replication modes:
- `none` or `1`: data stored on Garage is stored on a single node. There is no
redundancy, and data will be unavailable as soon as one node fails or its
network is disconnected. Do not use this for anything else than test
deployments.
- `2`: data stored on Garage will be stored on two different nodes, if possible
in different zones. Garage tolerates one node failure, or several nodes
failing but all in a single zone (in a deployment with at least two zones),
before losing data. Data remains available in read-only mode when one node is
down, but write operations will fail.
- `2-dangerous`: a variant of mode `2`, where written objects are written to
the second replica asynchronously. This means that Garage will return `200
OK` to a PutObject request before the second copy is fully written (or even
before it even starts being written). This means that data can more easily
be lost if the node crashes before a second copy can be completed. This
also means that written objects might not be visible immediately in read
operations. In other words, this mode severely breaks the consistency and
durability guarantees of standard Garage cluster operation. Benefits of
this mode: you can still write to your cluster when one node is
unavailable.
- `3`: data stored on Garage will be stored on three different nodes, if
possible each in a different zones. Garage tolerates two node failure, or
several node failures but in no more than two zones (in a deployment with at
least three zones), before losing data. As long as only a single node fails,
or node failures are only in a single zone, reading and writing data to
Garage can continue normally.
- `3-degraded`: a variant of replication mode `3`, that lowers the read
quorum to `1`, to allow you to read data from your cluster when several
nodes (or nodes in several zones) are unavailable. In this mode, Garage
does not provide read-after-write consistency anymore. The write quorum is
still 2, ensuring that data successfully written to Garage is stored on at
least two nodes.
- `3-dangerous`: a variant of replication mode `3` that lowers both the read
and write quorums to `1`, to allow you to both read and write to your
cluster when several nodes (or nodes in several zones) are unavailable. It
is the least consistent mode of operation proposed by Garage, and also one
that should probably never be used.
Note that in modes `2` and `3`,
if at least the same number of zones are available, an arbitrary number of failures in
any given zone is tolerated as copies of data will be spread over several zones.
**Make sure `replication_mode` is the same in the configuration files of all nodes.
Never run a Garage cluster where that is not the case.**
The quorums associated with each replication mode are described below:
| `replication_mode` | Number of replicas | Write quorum | Read quorum | Read-after-write consistency? |
| ------------------ | ------------------ | ------------ | ----------- | ----------------------------- |
| `none` or `1` | 1 | 1 | 1 | yes |
| `2` | 2 | 2 | 1 | yes |
| `2-dangerous` | 2 | 1 | 1 | NO |
| `3` | 3 | 2 | 2 | yes |
| `3-degraded` | 3 | 2 | 1 | NO |
| `3-dangerous` | 3 | 1 | 1 | NO |
Changing the `replication_mode` between modes with the same number of replicas
(e.g. from `3` to `3-degraded`, or from `2-dangerous` to `2`), can be done easily by
just changing the `replication_mode` parameter in your config files and restarting all your
Garage nodes.
It is also technically possible to change the replication mode to a mode with a
different numbers of replicas, although it's a dangerous operation that is not
officially supported. This requires you to delete the existing cluster layout
and create a new layout from scratch, meaning that a full rebalancing of your
cluster's data will be needed. To do it, shut down your cluster entirely,
delete the `custer_layout` files in the meta directories of all your nodes,
update all your configuration files with the new `replication_mode` parameter,
restart your cluster, and then create a new layout with all the nodes you want
to keep. Rebalancing data will take some time, and data might temporarily
appear unavailable to your users. It is recommended to shut down public access
to the cluster while rebalancing is in progress. In theory, no data should be
lost as rebalancing is a routine operation for Garage, although we cannot
guarantee you that everything will go right in such an extreme scenario.
### `compression_level`
Zstd compression level to use for storing blocks.
Values between `1` (faster compression) and `19` (smaller file) are standard compression
levels for zstd. From `20` to `22`, compression levels are referred as "ultra" and must be
used with extra care as it will use lot of memory. A value of `0` will let zstd choose a
default value (currently `3`). Finally, zstd has also compression designed to be faster
than default compression levels, they range from `-1` (smaller file) to `-99` (faster
compression).
If you do not specify a `compression_level` entry, Garage will set it to `1` for you. With
this parameters, zstd consumes low amount of cpu and should work faster than line speed in
most situations, while saving some space and intra-cluster
bandwidth.
If you want to totally deactivate zstd in Garage, you can pass the special value `'none'`. No
zstd related code will be called, your chunks will be stored on disk without any processing.
Compression is done synchronously, setting a value too high will add latency to write queries.
This value can be different between nodes, compression is done by the node which receive the
API call.
### `rpc_secret`
Garage uses a secret key that is shared between all nodes of the cluster
in order to identify these nodes and allow them to communicate together.
This key should be specified here in the form of a 32-byte hex-encoded
random string. Such a string can be generated with a command
such as `openssl rand -hex 32`.
### `rpc_bind_addr`
The address and port on which to bind for inter-cluster communcations
(reffered to as RPC for remote procedure calls).
The port specified here should be the same one that other nodes will used to contact
the node, even in the case of a NAT: the NAT should be configured to forward the external
port number to the same internal port nubmer. This means that if you have several nodes running
behind a NAT, they should each use a different RPC port number.
### `rpc_public_addr`
The address and port that other nodes need to use to contact this node for
RPC calls. **This parameter is optional but recommended.** In case you have
a NAT that binds the RPC port to a port that is different on your public IP,
this field might help making it work.
### `bootstrap_peers`
A list of peer identifiers on which to contact other Garage peers of this cluster.
These peer identifiers have the following syntax:
```
<node public key>@<node public IP or hostname>:<port>
```
In the case where `rpc_public_addr` is correctly specified in the
configuration file, the full identifier of a node including IP and port can
be obtained by running `garage node id` and then included directly in the
`bootstrap_peers` list of other nodes. Otherwise, only the node's public
key will be returned by `garage node id` and you will have to add the IP
yourself.
## The `[consul_discovery]` section
Garage supports discovering other nodes of the cluster using Consul. For this
to work correctly, nodes need to know their IP address by which they can be
reached by other nodes of the cluster, which should be set in `rpc_public_addr`.
### `consul_http_addr` and `service_name`
The `consul_http_addr` parameter should be set to the full HTTP(S) address of the Consul server.
### `service_name`
`service_name` should be set to the service name under which Garage's
RPC ports are announced.
### `client_cert`, `client_key`
TLS client certificate and client key to use when communicating with Consul over TLS. Both are mandatory when doing so.
### `ca_cert`
TLS CA certificate to use when communicating with Consul over TLS.
### `tls_skip_verify`
Skip server hostname verification in TLS handshake.
`ca_cert` is ignored when this is set.
## The `[kubernetes_discovery]` section
Garage supports discovering other nodes of the cluster using kubernetes custom
resources. For this to work, a `[kubernetes_discovery]` section must be present
with at least the `namespace` and `service_name` parameters.
### `namespace`
`namespace` sets the namespace in which the custom resources are
configured.
### `service_name`
`service_name` is added as a label to the advertised resources to
filter them, to allow for multiple deployments in a single namespace.
### `skip_crd`
`skip_crd` can be set to true to disable the automatic creation and
patching of the `garagenodes.deuxfleurs.fr` CRD. You will need to create the CRD
manually.
## The `[s3_api]` section
### `api_bind_addr`
The IP and port on which to bind for accepting S3 API calls.
This endpoint does not suport TLS: a reverse proxy should be used to provide it.
### `s3_region`
Garage will accept S3 API calls that are targetted to the S3 region defined here.
API calls targetted to other regions will fail with a AuthorizationHeaderMalformed error
message that redirects the client to the correct region.
### `root_domain` {#root_domain}
The optionnal suffix to access bucket using vhost-style in addition to path-style request.
Note path-style requests are always enabled, whether or not vhost-style is configured.
Configuring vhost-style S3 required a wildcard DNS entry, and possibly a wildcard TLS certificate,
but might be required by softwares not supporting path-style requests.
If `root_domain` is `s3.garage.eu`, a bucket called `my-bucket` can be interacted with
using the hostname `my-bucket.s3.garage.eu`.
## The `[s3_web]` section
Garage allows to publish content of buckets as websites. This section configures the
behaviour of this module.
### `bind_addr`
The IP and port on which to bind for accepting HTTP requests to buckets configured
for website access.
This endpoint does not suport TLS: a reverse proxy should be used to provide it.
### `root_domain`
The optionnal suffix appended to bucket names for the corresponding HTTP Host.
For instance, if `root_domain` is `web.garage.eu`, a bucket called `deuxfleurs.fr`
will be accessible either with hostname `deuxfleurs.fr.web.garage.eu`
or with hostname `deuxfleurs.fr`.
## The `[admin]` section
Garage has a few administration capabilities, in particular to allow remote monitoring. These features are detailed below.
### `api_bind_addr`
If specified, Garage will bind an HTTP server to this port and address, on
which it will listen to requests for administration features.
See [administration API reference](@/documentation/reference-manual/admin-api.md) to learn more about these features.
### `metrics_token` (since version 0.7.2)
The token for accessing the Metrics endpoint. If this token is not set in
the config file, the Metrics endpoint can be accessed without access
control.
You can use any random string for this value. We recommend generating a random token with `openssl rand -hex 32`.
### `admin_token` (since version 0.7.2)
The token for accessing all of the other administration endpoints. If this
token is not set in the config file, access to these endpoints is disabled
entirely.
You can use any random string for this value. We recommend generating a random token with `openssl rand -hex 32`.
### `trace_sink`
Optionnally, the address of an Opentelemetry collector. If specified,
Garage will send traces in the Opentelemetry format to this endpoint. These
trace allow to inspect Garage's operation when it handles S3 API requests.

View file

@ -1,125 +0,0 @@
+++
title = "List of Garage features"
weight = 10
+++
### S3 API
The main goal of Garage is to provide an object storage service that is compatible with the
[S3 API](https://docs.aws.amazon.com/AmazonS3/latest/API/Welcome.html) from Amazon Web Services.
We try to adhere as strictly as possible to the semantics of the API as implemented by Amazon
and other vendors such as Minio or CEPH.
Of course Garage does not implement the full span of API endpoints that AWS S3 does;
the exact list of S3 features implemented by Garage can be found [on our S3 compatibility page](@/documentation/reference-manual/s3-compatibility.md).
### Geo-distribution
Garage allows you to store copies of your data in multiple geographical locations in order to maximize resilience
to adverse events, such as network/power outages or hardware failures.
This allows Garage to run very well even at home, using consumer-grade Internet connectivity
(such as FTTH) and power, as long as cluster nodes can be spawned at several physical locations.
Garage exploits knowledge of the capacity and physical location of each storage node to design
a storage plan that best exploits the available storage capacity while satisfying the geo-distributed replication constraint.
To learn more about geo-distributed Garage clusters,
read our documentation on [setting up a real-world deployment](@/documentation/cookbook/real-world.md).
### Standalone/self-contained
Garage is extremely simple to deploy, and does not depend on any external service to run.
This makes setting up and administering storage clusters, we hope, as easy as it could be.
### Flexible topology
A Garage cluster can very easily evolve over time, as storage nodes are added or removed.
Garage will automatically rebalance data between nodes as needed to ensure the desired number of copies.
Read about cluster layout management [here](@/documentation/reference-manual/layout.md).
### No RAFT slowing you down
It might seem strange to tout the absence of something as a desirable feature,
but this is in fact a very important point! Garage does not use RAFT or another
consensus algorithm internally to order incoming requests: this means that all requests
directed to a Garage cluster can be handled independently of one another instead
of going through a central bottleneck (the leader node).
As a consequence, requests can be handled much faster, even in cases where latency
between cluster nodes is important (see our [benchmarks](@/documentation/design/benchmarks/index.md) for data on this).
This is particularly usefull when nodes are far from one another and talk to one other through standard Internet connections.
### Several replication modes
Garage supports a variety of replication modes, with 1 copy, 2 copies or 3 copies of your data,
and with various levels of consistency, in order to adapt to a variety of usage scenarios.
Read our reference page on [supported replication modes](@/documentation/reference-manual/configuration.md#replication-mode)
to select the replication mode best suited to your use case (hint: in most cases, `replication_mode = "3"` is what you want).
### Web server for static websites
A storage bucket can easily be configured to be served directly by Garage as a static web site.
Domain names for multiple websites directly map to bucket names, making it easy to build
a platform for your users to autonomously build and host their websites over Garage.
Surprisingly, none of the other alternative S3 implementations we surveyed (such as Minio
or CEPH) support publishing static websites from S3 buckets, a feature that is however
directly inherited from S3 on AWS.
Read more on our [dedicated documentation page](@/documentation/cookbook/exposing-websites.md).
### Bucket names as aliases
In Garage, a bucket may have several names, known as aliases.
Aliases can easily be added and removed on demand:
this allows to easily rename buckets if needed
without having to copy all of their content, something that cannot be done on AWS.
For buckets served as static websites, having multiple aliases for a bucket can allow
exposing the same content under different domain names.
Garage also supports bucket aliases which are local to a single user:
this allows different users to have different buckets with the same name, thus avoiding naming collisions.
This can be helpfull for instance if you want to write an application that creates per-user buckets with always the same name.
This feature is totally invisible to S3 clients and does not break compatibility with AWS.
### Cluster administration API
Garage provides a fully-fledged REST API to administer your cluster programatically.
Functionality included in the admin API include: setting up and monitoring
cluster nodes, managing access credentials, and managing storage buckets and bucket aliases.
A full reference of the administration API is available [here](@/documentation/reference-manual/admin-api.md).
### Metrics and traces
Garage makes some internal metrics available in the Prometheus data format,
which allows you to build interactive dashboards to visualize the load and internal state of your storage cluster.
For developpers and performance-savvy administrators,
Garage also supports exporting traces of what it does internally in OpenTelemetry format.
This allows to monitor the time spent at various steps of the processing of requests,
in order to detect potential performance bottlenecks.
### Kubernetes and Nomad integrations
Garage can automatically discover other nodes in the cluster thanks to integration
with orchestrators such as Kubernetes and Nomad (when used with Consul).
This eases the configuration of your cluster as it removes one step where nodes need
to be manually connected to one another.
### Support for changing IP addresses
As long as all of your nodes don't change their IP address at the same time,
Garage should be able to tolerate nodes with changing/dynamic IP addresses,
as nodes will regularly exchange the IP addresses of their peers and try to
reconnect using newer addresses when existing connections are broken.
### K2V API (experimental)
As part of an ongoing research project, Garage can expose an experimental key/value storage API called K2V.
K2V is made for the storage and retrieval of many small key/value pairs that need to be processed in bulk.
This completes the S3 API with an alternative that can be used to easily store and access metadata
related to objects stored in an S3 bucket.
In the context of our research project, [Aérogramme](https://aerogramme.deuxfleurs.fr),
K2V is used to provide metadata and log storage for operations on encrypted e-mail storage.
Learn more on the specification of K2V [here](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/branch/k2v/doc/drafts/k2v-spec.md)
and on how to enable it in Garage [here](@/documentation/reference-manual/k2v.md).

View file

@ -1,58 +0,0 @@
+++
title = "K2V"
weight = 70
+++
Starting with version 0.7.2, Garage introduces an optionnal feature, K2V,
which is an alternative storage API designed to help efficiently store
many small values in buckets (in opposition to S3 which is more designed
to store large blobs).
K2V is currently disabled at compile time in all builds, as the
specification is still subject to changes. To build a Garage version with
K2V, the Cargo feature flag `k2v` must be activated. Special builds with
the `k2v` feature flag enabled can be obtained from our download page under
"Extra builds": such builds can be identified easily as their tag name ends
with `-k2v` (example: `v0.7.2-k2v`).
The specification of the K2V API can be found
[here](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/branch/k2v/doc/drafts/k2v-spec.md).
This document also includes a high-level overview of K2V's design.
The K2V API uses AWSv4 signatures for authentification, same as the S3 API.
The AWS region used for signature calculation is always the same as the one
defined for the S3 API in the config file.
## Enabling and using K2V
To enable K2V, download and run a build that has the `k2v` feature flag
enabled, or produce one yourself. Then, add the following section to your
configuration file:
```toml
[k2v_api]
api_bind_addr = "<ip>:<port>"
```
Please select a port number that is not already in use by another API
endpoint (S3 api, admin API) or by the RPC server.
We provide an early-stage K2V client library for Rust which can be imported by adding the following to your `Cargo.toml` file:
```toml
k2v-client = { git = "https://git.deuxfleurs.fr/Deuxfleurs/garage.git" }
```
There is also a simple CLI utility which can be built from source in the
following way:
```sh
git clone https://git.deuxfleurs.fr/Deuxfleurs/garage.git
cd garage/src/k2v-client
cargo build --features cli --bin k2v-cli
```
The CLI utility is self-documented, run `k2v-cli --help` to learn how to use
it. There is also a short README.md in the `src/k2v-client` folder with some
instructions.

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@ -1,77 +0,0 @@
+++
title = "Cluster layout management"
weight = 50
+++
The cluster layout in Garage is a table that assigns to each node a role in
the cluster. The role of a node in Garage can either be a storage node with
a certain capacity, or a gateway node that does not store data and is only
used as an API entry point for faster cluster access.
An introduction to building cluster layouts can be found in the [production deployment](@/documentation/cookbook/real-world.md) page.
## How cluster layouts work in Garage
In Garage, a cluster layout is composed of the following components:
- a table of roles assigned to nodes
- a version number
Garage nodes will always use the cluster layout with the highest version number.
Garage nodes also maintain and synchronize between them a set of proposed role
changes that haven't yet been applied. These changes will be applied (or
canceled) in the next version of the layout
The following commands insert modifications to the set of proposed role changes
for the next layout version (but they do not create the new layout immediately):
```bash
garage layout assign [...]
garage layout remove [...]
```
The following command can be used to inspect the layout that is currently set in the cluster
and the changes proposed for the next layout version, if any:
```bash
garage layout show
```
The following commands create a new layout with the specified version number,
that either takes into account the proposed changes or cancels them:
```bash
garage layout apply --version <new_version_number>
garage layout revert --version <new_version_number>
```
The version number of the new layout to create must be 1 + the version number
of the previous layout that existed in the cluster. The `apply` and `revert`
commands will fail otherwise.
## Warnings about Garage cluster layout management
**Warning: never make several calls to `garage layout apply` or `garage layout
revert` with the same value of the `--version` flag. Doing so can lead to the
creation of several different layouts with the same version number, in which
case your Garage cluster will become inconsistent until fixed.** If a call to
`garage layout apply` or `garage layout revert` has failed and `garage layout
show` indicates that a new layout with the given version number has not been
set in the cluster, then it is fine to call the command again with the same
version number.
If you are using the `garage` CLI by typing individual commands in your
shell, you shouldn't have much issues as long as you run commands one after
the other and take care of checking the output of `garage layout show`
before applying any changes.
If you are using the `garage` CLI to script layout changes, follow the following recommendations:
- Make all of your `garage` CLI calls to the same RPC host. Do not use the
`garage` CLI to connect to individual nodes to send them each a piece of the
layout changes you are making, as the changes propagate asynchronously
between nodes and might not all be taken into account at the time when the
new layout is applied.
- **Only call `garage layout apply` once**, and call it **strictly after** all
of the `layout assign` and `layout remove` commands have returned.

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@ -1,232 +0,0 @@
+++
title = "S3 Compatibility status"
weight = 40
+++
## DISCLAIMER
**The compatibility list for other platforms is given only for informational
purposes and based on available documentation.** They are sometimes completed,
in a best effort approach, with the source code and inputs from maintainers
when documentation is lacking. We are not proactively monitoring new versions
of each software: check the modification history to know when the page has been
updated for the last time. Some entries will be inexact or outdated. For any
serious decision, you must make your own tests.
**The official documentation of each project can be accessed by clicking on the
project name in the column header.**
Feel free to open a PR to suggest fixes this table. Minio is missing because they do not provide a public S3 compatibility list.
## Update history
- 2022-02-07 - First version of this page
- 2022-05-25 - Many Ceph S3 endpoints are not documented but implemented. Following a notification from the Ceph community, we added them.
## High-level features
| Feature | Garage | [Openstack Swift](https://docs.openstack.org/swift/latest/s3_compat.html) | [Ceph Object Gateway](https://docs.ceph.com/en/latest/radosgw/s3/) | [Riak CS](https://docs.riak.com/riak/cs/2.1.1/references/apis/storage/s3/index.html) | [OpenIO](https://docs.openio.io/latest/source/arch-design/s3_compliancy.html) |
|------------------------------|----------------------------------|-----------------|---------------|---------|-----|
| [signature v2](https://docs.aws.amazon.com/general/latest/gr/signature-version-2.html) (deprecated) | ❌ Missing | ✅ | ✅ | ✅ | ✅ |
| [signature v4](https://docs.aws.amazon.com/AmazonS3/latest/API/sig-v4-authenticating-requests.html) | ✅ Implemented | ✅ | ✅ | ❌ | ✅ |
| [URL path-style](https://docs.aws.amazon.com/AmazonS3/latest/userguide/VirtualHosting.html#path-style-access) (eg. `host.tld/bucket/key`) | ✅ Implemented | ✅ | ✅ | ❓| ✅ |
| [URL vhost-style](https://docs.aws.amazon.com/AmazonS3/latest/userguide/VirtualHosting.html#virtual-hosted-style-access) URL (eg. `bucket.host.tld/key`) | ✅ Implemented | ❌| ✅| ✅ | ✅ |
| [Presigned URLs](https://docs.aws.amazon.com/AmazonS3/latest/userguide/ShareObjectPreSignedURL.html) | ✅ Implemented | ❌| ✅ | ✅ | ✅(❓) |
*Note:* OpenIO does not says if it supports presigned URLs. Because it is part
of signature v4 and they claim they support it without additional precisions,
we suppose that OpenIO supports presigned URLs.
## Endpoint implementation
All endpoints that are missing on Garage will return a 501 Not Implemented.
Some `x-amz-` headers are not implemented.
### Core endoints
| Endpoint | Garage | [Openstack Swift](https://docs.openstack.org/swift/latest/s3_compat.html) | [Ceph Object Gateway](https://docs.ceph.com/en/latest/radosgw/s3/) | [Riak CS](https://docs.riak.com/riak/cs/2.1.1/references/apis/storage/s3/index.html) | [OpenIO](https://docs.openio.io/latest/source/arch-design/s3_compliancy.html) |
|------------------------------|----------------------------------|-----------------|---------------|---------|-----|
| [CreateBucket](https://docs.aws.amazon.com/AmazonS3/latest/API/API_CreateBucket.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [DeleteBucket](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteBucket.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [GetBucketLocation](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketLocation.html) | ✅ Implemented | ✅ | ✅ | ❌ | ✅ |
| [HeadBucket](https://docs.aws.amazon.com/AmazonS3/latest/API/API_HeadBucket.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [ListBuckets](https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListBuckets.html) | ✅ Implemented | ❌| ✅ | ✅ | ✅ |
| [HeadObject](https://docs.aws.amazon.com/AmazonS3/latest/API/API_HeadObject.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [CopyObject](https://docs.aws.amazon.com/AmazonS3/latest/API/API_CopyObject.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [DeleteObject](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteObject.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [DeleteObjects](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteObjects.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [GetObject](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetObject.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [ListObjects](https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListObjects.html) | ✅ Implemented (see details below) | ✅ | ✅ | ✅ | ❌|
| [ListObjectsV2](https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListObjectsV2.html) | ✅ Implemented | ❌| ✅ | ❌| ✅ |
| [PostObject](https://docs.aws.amazon.com/AmazonS3/latest/API/RESTObjectPOST.html) | ✅ Implemented | ❌| ✅ | ❌| ❌|
| [PutObject](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutObject.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
**ListObjects:** Implemented, but there isn't a very good specification of what
`encoding-type=url` covers so there might be some encoding bugs. In our
implementation the url-encoded fields are in the same in ListObjects as they
are in ListObjectsV2.
*Note: Ceph API documentation is incomplete and lacks at least HeadBucket and UploadPartCopy,
but these endpoints are documented in [Red Hat Ceph Storage - Chapter 2. Ceph Object Gateway and the S3 API](https://access.redhat.com/documentation/en-us/red_hat_ceph_storage/4/html/developer_guide/ceph-object-gateway-and-the-s3-api)*
### Multipart Upload endpoints
| Endpoint | Garage | [Openstack Swift](https://docs.openstack.org/swift/latest/s3_compat.html) | [Ceph Object Gateway](https://docs.ceph.com/en/latest/radosgw/s3/) | [Riak CS](https://docs.riak.com/riak/cs/2.1.1/references/apis/storage/s3/index.html) | [OpenIO](https://docs.openio.io/latest/source/arch-design/s3_compliancy.html) |
|------------------------------|----------------------------------|-----------------|---------------|---------|-----|
| [AbortMultipartUpload](https://docs.aws.amazon.com/AmazonS3/latest/API/API_AbortMultipartUpload.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [CompleteMultipartUpload](https://docs.aws.amazon.com/AmazonS3/latest/API/API_CompleteMultipartUpload.html) | ✅ Implemented (see details below) | ✅ | ✅ | ✅ | ✅ |
| [CreateMultipartUpload](https://docs.aws.amazon.com/AmazonS3/latest/API/API_CreateMultipartUpload.html) | ✅ Implemented | ✅| ✅ | ✅ | ✅ |
| [ListMultipartUpload](https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListMultipartUpload.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [ListParts](https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListParts.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
| [UploadPart](https://docs.aws.amazon.com/AmazonS3/latest/API/API_UploadPart.html) | ✅ Implemented (see details below) | ✅ | ✅| ✅ | ✅ |
| [UploadPartCopy](https://docs.aws.amazon.com/AmazonS3/latest/API/API_UploadPartCopy.html) | ✅ Implemented | ✅ | ✅ | ✅ | ✅ |
Our implementation of Multipart Upload is currently a bit more restrictive than Amazon's one in some edge cases.
For more information, please refer to our [issue tracker](https://git.deuxfleurs.fr/Deuxfleurs/garage/issues/204).
### Website endpoints
| Endpoint | Garage | [Openstack Swift](https://docs.openstack.org/swift/latest/s3_compat.html) | [Ceph Object Gateway](https://docs.ceph.com/en/latest/radosgw/s3/) | [Riak CS](https://docs.riak.com/riak/cs/2.1.1/references/apis/storage/s3/index.html) | [OpenIO](https://docs.openio.io/latest/source/arch-design/s3_compliancy.html) |
|------------------------------|----------------------------------|-----------------|---------------|---------|-----|
| [DeleteBucketWebsite](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteBucketWebsite.html) | ✅ Implemented | ❌| ❌| ❌| ❌|
| [GetBucketWebsite](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketWebsite.html) | ✅ Implemented | ❌ | ❌| ❌| ❌|
| [PutBucketWebsite](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketWebsite.html) | ⚠ Partially implemented (see below)| ❌| ❌| ❌| ❌|
| [DeleteBucketCors](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteBucketCors.html) | ✅ Implemented | ❌| ✅ | ❌| ✅ |
| [GetBucketCors](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketCors.html) | ✅ Implemented | ❌ | ✅ | ❌| ✅ |
| [PutBucketCors](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketCors.html) | ✅ Implemented | ❌| ✅ | ❌| ✅ |
**PutBucketWebsite:** Implemented, but only stores the index document suffix and the error document path. Redirects are not supported.
*Note: Ceph radosgw has some support for static websites but it is different from the Amazon one. It also does not implement its configuration endpoints.*
### ACL, Policies endpoints
Amazon has 2 access control mechanisms in S3: ACL (legacy) and policies (new one).
Garage implements none of them, and has its own system instead, built around a per-access-key-per-bucket logic.
See Garage CLI reference manual to learn how to use Garage's permission system.
| Endpoint | Garage | [Openstack Swift](https://docs.openstack.org/swift/latest/s3_compat.html) | [Ceph Object Gateway](https://docs.ceph.com/en/latest/radosgw/s3/) | [Riak CS](https://docs.riak.com/riak/cs/2.1.1/references/apis/storage/s3/index.html) | [OpenIO](https://docs.openio.io/latest/source/arch-design/s3_compliancy.html) |
|------------------------------|----------------------------------|-----------------|---------------|---------|-----|
| [DeleteBucketPolicy](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteBucketPolicy.html) | ❌ Missing | ❌| ✅ | ✅ | ❌|
| [GetBucketPolicy](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketPolicy.html) | ❌ Missing | ❌| ✅ | ⚠ | ❌|
| [GetBucketPolicyStatus](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketPolicyStatus.html) | ❌ Missing | ❌| ✅ | ❌| ❌|
| [PutBucketPolicy](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketPolicy.html) | ❌ Missing | ❌| ✅ | ⚠ | ❌|
| [GetBucketAcl](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketAcl.html) | ❌ Missing | ✅ | ✅ | ✅ | ✅ |
| [PutBucketAcl](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketAcl.html) | ❌ Missing | ✅ | ✅ | ✅ | ✅ |
| [GetObjectAcl](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetObjectAcl.html) | ❌ Missing | ✅ | ✅ | ✅ | ✅ |
| [PutObjectAcl](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutObjectAcl.html) | ❌ Missing | ✅ | ✅ | ✅ | ✅ |
*Notes:* Riak CS only supports a subset of the policy configuration.
### Versioning, Lifecycle endpoints
Garage does not (yet) support object versioning.
If you need this feature, please [share your use case in our dedicated issue](https://git.deuxfleurs.fr/Deuxfleurs/garage/issues/166).
| Endpoint | Garage | [Openstack Swift](https://docs.openstack.org/swift/latest/s3_compat.html) | [Ceph Object Gateway](https://docs.ceph.com/en/latest/radosgw/s3/) | [Riak CS](https://docs.riak.com/riak/cs/2.1.1/references/apis/storage/s3/index.html) | [OpenIO](https://docs.openio.io/latest/source/arch-design/s3_compliancy.html) |
|------------------------------|----------------------------------|-----------------|---------------|---------|-----|
| [DeleteBucketLifecycle](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteBucketLifecycle.html) | ❌ Missing | ❌| ✅| ❌| ✅|
| [GetBucketLifecycleConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketLifecycleConfiguration.html) | ❌ Missing | ❌| ✅ | ❌| ✅|
| [PutBucketLifecycleConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketLifecycleConfiguration.html) | ❌ Missing | ❌| ✅ | ❌| ✅|
| [GetBucketVersioning](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketVersioning.html) | ❌ Stub (see below) | ✅| ✅ | ❌| ✅|
| [ListObjectVersions](https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListObjectVersions.html) | ❌ Missing | ❌| ✅ | ❌| ✅|
| [PutBucketVersioning](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketVersioning.html) | ❌ Missing | ❌| ✅| ❌| ✅|
**GetBucketVersioning:** Stub implementation (Garage does not yet support versionning so this always returns "versionning not enabled").
### Replication endpoints
Please open an issue if you have a use case for replication.
| Endpoint | Garage | [Openstack Swift](https://docs.openstack.org/swift/latest/s3_compat.html) | [Ceph Object Gateway](https://docs.ceph.com/en/latest/radosgw/s3/) | [Riak CS](https://docs.riak.com/riak/cs/2.1.1/references/apis/storage/s3/index.html) | [OpenIO](https://docs.openio.io/latest/source/arch-design/s3_compliancy.html) |
|------------------------------|----------------------------------|-----------------|---------------|---------|-----|
| [DeleteBucketReplication](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteBucketReplication.html) | ❌ Missing | ❌| ✅ | ❌| ❌|
| [GetBucketReplication](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketReplication.html) | ❌ Missing | ❌| ✅ | ❌| ❌|
| [PutBucketReplication](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketReplication.html) | ❌ Missing | ❌| ⚠ | ❌| ❌|
*Note: Ceph documentation briefly says that Ceph supports
[replication through the S3 API](https://docs.ceph.com/en/latest/radosgw/multisite-sync-policy/#s3-replication-api)
but with some limitations.
Additionaly, replication endpoints are not documented in the S3 compatibility page so I don't know what kind of support we can expect.*
### Locking objects
Amazon defines a concept of [object locking](https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lock.html) that can be achieved either through a Retention period or a Legal hold.
| Endpoint | Garage | [Openstack Swift](https://docs.openstack.org/swift/latest/s3_compat.html) | [Ceph Object Gateway](https://docs.ceph.com/en/latest/radosgw/s3/) | [Riak CS](https://docs.riak.com/riak/cs/2.1.1/references/apis/storage/s3/index.html) | [OpenIO](https://docs.openio.io/latest/source/arch-design/s3_compliancy.html) |
|------------------------------|----------------------------------|-----------------|---------------|---------|-----|
| [GetObjectLegalHold](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetObjectLegalHold.html) | ❌ Missing | ❌| ✅ | ❌| ❌|
| [PutObjectLegalHold](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutObjectLegalHold.html) | ❌ Missing | ❌| ✅ | ❌| ❌|
| [GetObjectRetention](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetObjectRetention.html) | ❌ Missing | ❌| ✅ | ❌| ❌|
| [PutObjectRetention](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutObjectRetention.html) | ❌ Missing | ❌| ✅ | ❌| ❌|
| [GetObjectLockConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetObjectLockConfiguration.html) | ❌ Missing | ❌| ✅ | ❌| ❌|
| [PutObjectLockConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutObjectLockConfiguration.html) | ❌ Missing | ❌| ✅ | ❌| ❌|
### (Server-side) encryption
We think that you can either encrypt your server partition or do client-side encryption, so we did not implement server-side encryption for Garage.
Please open an issue if you have a use case.
| Endpoint | Garage | [Openstack Swift](https://docs.openstack.org/swift/latest/s3_compat.html) | [Ceph Object Gateway](https://docs.ceph.com/en/latest/radosgw/s3/) | [Riak CS](https://docs.riak.com/riak/cs/2.1.1/references/apis/storage/s3/index.html) | [OpenIO](https://docs.openio.io/latest/source/arch-design/s3_compliancy.html) |
|------------------------------|----------------------------------|-----------------|---------------|---------|-----|
| [DeleteBucketEncryption](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteBucketEncryption.html) | ❌ Missing | ❌| ✅ | ❌| ❌|
| [GetBucketEncryption](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketEncryption.html) | ❌ Missing | ❌| ✅ | ❌| ❌|
| [PutBucketEncryption](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketEncryption.html) | ❌ Missing | ❌| ✅ | ❌| ❌|
### Misc endpoints
| Endpoint | Garage | [Openstack Swift](https://docs.openstack.org/swift/latest/s3_compat.html) | [Ceph Object Gateway](https://docs.ceph.com/en/latest/radosgw/s3/) | [Riak CS](https://docs.riak.com/riak/cs/2.1.1/references/apis/storage/s3/index.html) | [OpenIO](https://docs.openio.io/latest/source/arch-design/s3_compliancy.html) |
|------------------------------|----------------------------------|-----------------|---------------|---------|-----|
| [GetBucketNotificationConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketNotificationConfiguration.html) | ❌ Missing | ❌| ✅ | ❌| ❌|
| [PutBucketNotificationConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketNotificationConfiguration.html) | ❌ Missing | ❌| ✅ | ❌| ❌|
| [DeleteBucketTagging](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteBucketTagging.html) | ❌ Missing | ❌| ✅ | ❌| ✅ |
| [GetBucketTagging](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketTagging.html) | ❌ Missing | ❌| ✅ | ❌| ✅ |
| [PutBucketTagging](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketTagging.html) | ❌ Missing | ❌| ✅ | ❌| ✅ |
| [DeleteObjectTagging](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteObjectTagging.html) | ❌ Missing | ❌| ✅ | ❌| ✅ |
| [GetObjectTagging](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetObjectTagging.html) | ❌ Missing | ❌| ✅ | ❌| ✅ |
| [PutObjectTagging](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutObjectTagging.html) | ❌ Missing | ❌| ✅ | ❌| ✅ |
| [GetObjectTorrent](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetObjectTorrent.html) | ❌ Missing | ❌| ✅ | ❌| ❌|
### Vendor specific endpoints
<details><summary>Display Amazon specifc endpoints</summary>
| Endpoint | Garage | [Openstack Swift](https://docs.openstack.org/swift/latest/s3_compat.html) | [Ceph Object Gateway](https://docs.ceph.com/en/latest/radosgw/s3/) | [Riak CS](https://docs.riak.com/riak/cs/2.1.1/references/apis/storage/s3/index.html) | [OpenIO](https://docs.openio.io/latest/source/arch-design/s3_compliancy.html) |
|------------------------------|----------------------------------|-----------------|---------------|---------|-----|
| [DeleteBucketAnalyticsConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteBucketAnalyticsConfiguration.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [DeleteBucketIntelligentTieringConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteBucketIntelligentTieringConfiguration.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [DeleteBucketInventoryConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteBucketInventoryConfiguration.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [DeleteBucketMetricsConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteBucketMetricsConfiguration.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [DeleteBucketOwnershipControls](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeleteBucketOwnershipControls.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [DeletePublicAccessBlock](https://docs.aws.amazon.com/AmazonS3/latest/API/API_DeletePublicAccessBlock.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [GetBucketAccelerateConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketAccelerateConfiguration.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [GetBucketAnalyticsConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketAnalyticsConfiguration.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [GetBucketIntelligentTieringConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketIntelligentTieringConfiguration.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [GetBucketInventoryConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketInventoryConfiguration.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [GetBucketLogging](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketLogging.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [GetBucketMetricsConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketMetricsConfiguration.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [GetBucketOwnershipControls](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketOwnershipControls.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [GetBucketRequestPayment](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetBucketRequestPayment.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [GetPublicAccessBlock](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetPublicAccessBlock.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [ListBucketAnalyticsConfigurations](https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListBucketAnalyticsConfigurations.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [ListBucketIntelligentTieringConfigurations](https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListBucketIntelligentTieringConfigurations.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [ListBucketInventoryConfigurations](https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListBucketInventoryConfigurations.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [ListBucketMetricsConfigurations](https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListBucketMetricsConfigurations.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [PutBucketAccelerateConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketAccelerateConfiguration.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [PutBucketAnalyticsConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketAnalyticsConfiguration.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [PutBucketIntelligentTieringConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketIntelligentTieringConfiguration.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [PutBucketInventoryConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketInventoryConfiguration.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [PutBucketLogging](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketLogging.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [PutBucketMetricsConfiguration](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketMetricsConfiguration.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [PutBucketOwnershipControls](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketOwnershipControls.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [PutBucketRequestPayment](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutBucketRequestPayment.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [PutPublicAccessBlock](https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutPublicAccessBlock.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [RestoreObject](https://docs.aws.amazon.com/AmazonS3/latest/API/API_RestoreObject.html) | ❌ Missing | ❌| ❌| ❌| ❌|
| [SelectObjectContent](https://docs.aws.amazon.com/AmazonS3/latest/API/API_SelectObjectContent.html) | ❌ Missing | ❌| ❌| ❌| ❌|
</details>

32
doc/book/src/SUMMARY.md Normal file
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@ -0,0 +1,32 @@
# Summary
[The Garage Data Store](./intro.md)
- [Getting Started](./getting_started/index.md)
- [Get a binary](./getting_started/binary.md)
- [Configure the daemon](./getting_started/daemon.md)
- [Control the daemon](./getting_started/control.md)
- [Configure a cluster](./getting_started/cluster.md)
- [Create buckets and keys](./getting_started/bucket.md)
- [Handle files](./getting_started/files.md)
- [Cookbook](./cookbook/index.md)
- [Host a website](./cookbook/website.md)
- [Integrate as a media backend]()
- [Operate a cluster]()
- [Recovering from failures](./cookbook/recovering.md)
- [Reference Manual](./reference_manual/index.md)
- [Garage CLI]()
- [S3 API](./reference_manual/s3_compatibility.md)
- [Design](./design/index.md)
- [Related Work](./design/related_work.md)
- [Internals](./design/internals.md)
- [Development](./development/index.md)
- [Setup your environment](./development/devenv.md)
- [Your first contribution]()
- [Working Documents](./working_documents/index.md)
- [Load Balancing Data](./working_documents/load_balancing.md)

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# Cookbook
A cookbook, when you cook, is a collection of recipes.
Similarly, Garage's cookbook contains a collection of recipes that are known to works well!
This chapter could also be referred as "Tutorials" or "Best practices".

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@ -1,7 +1,4 @@
+++
title = "Recovering from failures"
weight = 50
+++
# Recovering from failures
Garage is meant to work on old, second-hand hardware.
In particular, this makes it likely that some of your drives will fail, and some manual intervention will be needed.
@ -9,18 +6,14 @@ Fear not! For Garage is fully equipped to handle drive failures, in most common
## A note on availability of Garage
With nodes dispersed in 3 zones or more, here are the guarantees Garage provides with the 3-way replication strategy (3 copies of all data, which is the recommended replication mode):
With nodes dispersed in 3 datacenters or more, here are the guarantees Garage provides with the default replication strategy (3 copies of all data, which is the recommended value):
- The cluster remains fully functional as long as the machines that fail are in only one zone. This includes a whole zone going down due to power/Internet outage.
- No data is lost as long as the machines that fail are in at most two zones.
- The cluster remains fully functional as long as the machines that fail are in only one datacenter. This includes a whole datacenter going down due to power/Internet outage.
- No data is lost as long as the machines that fail are in at most two datacenters.
Of course this only works if your Garage nodes are correctly configured to be aware of the zone in which they are located.
Of course this only works if your Garage nodes are correctly configured to be aware of the datacenter in which they are located.
Make sure this is the case using `garage status` to check on the state of your cluster's configuration.
In case of temporarily disconnected nodes, Garage should automatically re-synchronize
when the nodes come back up. This guide will deal with recovering from disk failures
that caused the loss of the data of a node.
## First option: removing a node
@ -31,10 +24,8 @@ and you should instead use one of the methods detailed in the next sections.
Removing a node is done with the following command:
```bash
garage layout remove <node_id>
garage layout show # review the changes you are making
garage layout apply # once satisfied, apply the changes
```
garage node remove --yes <node_id>
```
(you can get the `node_id` of the failed node by running `garage status`)
@ -55,7 +46,7 @@ We just need to tell Garage to get back all the data blocks and store them on th
First, set up a new HDD to store Garage's data directory on the failed node, and restart Garage using
the existing configuration. Then, run:
```bash
```
garage repair -a --yes blocks
```
@ -63,7 +54,7 @@ This will re-synchronize blocks of data that are missing to the new HDD, reading
You can check on the advancement of this process by doing the following command:
```bash
```
garage stats -a
```
@ -94,16 +85,14 @@ might be faster but most of the pieces will be deleted anyway from the disk and
First, set up a new drive to store the metadata directory for the replacement node (a SSD is recommended),
and for the data directory if necessary. You can then start Garage on the new node.
The restarted node should generate a new node ID, and it should be shown with `NO ROLE ASSIGNED` in `garage status`.
The restarted node should generate a new node ID, and it should be shown as `NOT CONFIGURED` in `garage status`.
The ID of the lost node should be shown in `garage status` in the section for disconnected/unavailable nodes.
Then, replace the broken node by the new one, using:
```bash
garage layout assign <new_node_id> --replace <old_node_id> \
-c <capacity> -z <zone> -t <node_tag>
garage layout show # review the changes you are making
garage layout apply # once satisfied, apply the changes
```
garage node configure --replace <old_node_id> \
-c <capacity> -d <datacenter> -t <node_tag> <new_node_id>
```
Garage will then start synchronizing all required data on the new node.

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# Host a website

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# Design
The design section helps you to see Garage from a "big picture" perspective.
It will allow you to understand if Garage is a good fit for you,
how to better use it, how to contribute to it, what can Garage could and could not do, etc.

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@ -1,11 +1,4 @@
+++
title = "Design draft (obsolete)"
weight = 900
+++
**WARNING: this documentation is a design draft which was written before Garage's actual implementation.
The general principle are similar, but details have not been updated.**
**WARNING: this documentation is more a "design draft", which was written before Garage's actual implementation. The general principle is similar but details have not yet been updated.**
#### Modules
@ -162,4 +155,4 @@ Number K of tokens per node: decided by the operator & stored in the operator's
- CDC: <https://www.usenix.org/system/files/conference/atc16/atc16-paper-xia.pdf>
- Erasure coding: <http://web.eecs.utk.edu/~jplank/plank/papers/CS-08-627.html>
- [Openstack Storage Concepts](https://docs.openstack.org/arch-design/design-storage/design-storage-concepts.html)
- [RADOS](https://doi.org/10.1145/1374596.1374606) [[pdf](https://ceph.com/assets/pdfs/weil-rados-pdsw07.pdf)]
- [RADOS](https://ceph.com/wp-content/uploads/2016/08/weil-rados-pdsw07.pdf)

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@ -1,7 +1,4 @@
+++
title = "Related work"
weight = 50
+++
# Related Work
## Context
@ -24,7 +21,7 @@ Openstack Cinder proxy previous solution to provide an uniform API.
File storage provides a higher abstraction, they are one filesystem among others, which means they don't necessarily have all the exotic features of every filesystem.
Often, they relax some POSIX constraints while many applications will still be compatible without any modification.
As an example, we are able to run MariaDB (very slowly) over GlusterFS...
We can also mention CephFS (read [RADOS](https://doi.org/10.1145/1374596.1374606) whitepaper [[pdf](https://ceph.com/assets/pdfs/weil-rados-pdsw07.pdf)]), Lustre, LizardFS, MooseFS, etc.
We can also mention CephFS (read [RADOS](https://ceph.com/wp-content/uploads/2016/08/weil-rados-pdsw07.pdf) whitepaper), Lustre, LizardFS, MooseFS, etc.
OpenStack Manila proxy previous solutions to provide an uniform API.
Finally object storages provide the highest level abstraction.
@ -44,35 +41,14 @@ There were many attempts in research too. I am only thinking to [LBFS](https://p
## Existing software
**[MinIO](https://min.io/):** MinIO shares our *Self-contained & lightweight* goal but selected two of our non-goals: *Storage optimizations* through erasure coding and *POSIX/Filesystem compatibility* through strong consistency.
However, by pursuing these two non-goals, MinIO do not reach our desirable properties.
Firstly, it fails on the *Simple* property: due to the erasure coding, MinIO has severe limitations on how drives can be added or deleted from a cluster.
Secondly, it fails on the *Internet enabled* property: due to its strong consistency, MinIO is latency sensitive.
Furthermore, MinIO has no knowledge of "sites" and thus can not distribute data to minimize the failure of a given site.
**[Openstack Swift](https://docs.openstack.org/swift/latest/):**
OpenStack Swift at least fails on the *Self-contained & lightweight* goal.
Starting it requires around 8GB of RAM, which is too much especially in an hyperconverged infrastructure.
We also do not classify Swift as *Simple*.
**[Ceph](https://ceph.io/ceph-storage/object-storage/):**
This review holds for the whole Ceph stack, including the RADOS paper, Ceph Object Storage module, the RADOS Gateway, etc.
At its core, Ceph has been designed to provide *POSIX/Filesystem compatibility* which requires strong consistency, which in turn
makes Ceph latency-sensitive and fails our *Internet enabled* goal.
Due to its industry oriented design, Ceph is also far from being *Simple* to operate and from being *Self-contained & lightweight* which makes it hard to integrate it in an hyperconverged infrastructure.
In a certain way, Ceph and MinIO are closer together than they are from Garage or OpenStack Swift.
**[Pithos](https://github.com/exoscale/pithos):**
**[Pithos](https://github.com/exoscale/pithos) :**
Pithos has been abandonned and should probably not used yet, in the following we explain why we did not pick their design.
Pithos was relying as a S3 proxy in front of Cassandra (and was working with Scylla DB too).
From its designers' mouth, storing data in Cassandra has shown its limitations justifying the project abandonment.
They built a closed-source version 2 that does not store blobs in the database (only metadata) but did not communicate further on it.
We considered there v2's design but concluded that it does not fit both our *Self-contained & lightweight* and *Simple* properties. It makes the development, the deployment and the operations more complicated while reducing the flexibility.
**[Riak CS](https://docs.riak.com/riak/cs/2.1.1/index.html):**
*Not written yet*
**[IPFS](https://ipfs.io/):**
**[IPFS](https://ipfs.io/) :**
*Not written yet*
## Specific research papers

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# Setup your development environment
We propose the following quickstart to setup a full dev. environment as quickly as possible:
1. Setup a rust/cargo environment. eg. `dnf install rust cargo`
2. Install awscli v2 by following the guide [here](https://docs.aws.amazon.com/cli/latest/userguide/install-cliv2.html).
3. Run `cargo build` to build the project
4. Run `./script/dev-cluster.sh` to launch a test cluster (feel free to read the script)
5. Run `./script/dev-configure.sh` to configure your test cluster with default values (same datacenter, 100 tokens)
6. Run `./script/dev-bucket.sh` to create a bucket named `eprouvette` and an API key that will be stored in `/tmp/garage.s3`
7. Run `source ./script/dev-env-aws.sh` to configure your CLI environment
8. You can use `garage` to manage the cluster. Try `garage --help`.
9. You can use the `awsgrg` alias to add, remove, and delete files. Try `awsgrg help`, `awsgrg cp /proc/cpuinfo s3://eprouvette/cpuinfo.txt`, or `awsgrg ls s3://eprouvette`. `awsgrg` is a wrapper on the `aws s3` command pre-configured with the previously generated API key (the one in `/tmp/garage.s3`) and localhost as the endpoint.
Now you should be ready to start hacking on garage!

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# Development
Now that you are a Garage expert, you want to enhance it, you are in the right place!
We discuss here how to hack on Garage, how we manage its development, etc.

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@ -0,0 +1,44 @@
# Get a binary
Currently, only two installations procedures are supported for Garage: from Docker (x86\_64 for Linux) and from source.
In the future, we plan to add a third one, by publishing a compiled binary (x86\_64 for Linux).
We did not test other architecture/operating system but, as long as your architecture/operating system is supported by Rust, you should be able to run Garage (feel free to report your tests!).
## From Docker
Our docker image is currently named `lxpz/garage_amd64` and is stored on the [Docker Hub](https://hub.docker.com/r/lxpz/garage_amd64/tags?page=1&ordering=last_updated).
We encourage you to use a fixed tag (eg. `v0.2.1`) and not the `latest` tag.
For this example, we will use the latest published version at the time of the writing which is `v0.2.1` but it's up to you
to check [the most recent versions on the Docker Hub](https://hub.docker.com/r/lxpz/garage_amd64/tags?page=1&ordering=last_updated).
For example:
```
sudo docker pull lxpz/garage_amd64:v0.2.1
```
## From source
Garage is a standard Rust project.
First, you need `rust` and `cargo`.
On Debian:
```bash
sudo apt-get update
sudo apt-get install -y rustc cargo
```
Then, you can ask cargo to install the binary for you:
```bash
cargo install garage
```
That's all, `garage` should be in `$HOME/.cargo/bin`.
You can add this folder to your `$PATH` or copy the binary somewhere else on your system.
For the following, we will assume you copied it in `/usr/local/bin/garage`:
```bash
sudo cp $HOME/.cargo/bin/garage /usr/local/bin/garage
```

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