- We always recalculate the reference count of a block before deleting
it locally, to make sure that it is indeed zero.
- If we had to fetch a remote block but we were not able to get it,
check that refcount is indeed > 0.
- Repair procedure that checks everything
ci/woodpecker/push/debug Pipeline was successfulDetails
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This page of the AWS docs indicate that Content-Type should be part of
the CanonicalHeaders (and therefore SignedHeaders) strings in signature
calculation:
https://docs.aws.amazon.com/AmazonS3/latest/API/sig-v4-header-based-auth.html
However, testing with Minio Client revealed that it did not sign the
Content-Type header, and therefore we broke CI by expecting it to be
signed. With this commit, we don't mandate Content-Type to be signed
anymore, for better compatibility with the ecosystem. Testing against
the official behavior of S3 on AWS has not been done.
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For some users, this might be their first time being interacting with
the `env_logger` crate.
As such, they might not be aware that less verbose log levels exist.
Some might not want to log every incoming request, for example.
This commit also adds syntax hints to the code-fence for bash for better
syntax highlighting of that section, and repeats itself multiple times,
that `info` is, in fact, the default.
No changes to the recommendation of log levels were made.
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Having all Engine enum variants conditional causes compilation errors
when *none* of the DB engine features is enabled. This is not an issue
for full garage build, but affects crates that use garage_db as
dependency.
Change all variants to be present at all times. It solves compilation
errors and also allows us to better differentiate between invalid DB
engine name and engine with support not compiled in current binary.
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Use optional DB open overrides for both input and output database.
Duplicating the same override flag for input/output would result in too
many, too long flags. It would be too costly for very rare edge-case
where converting between same DB engine, just with different flags.
Because overrides flags for different engines are disjoint and we are
preventing conversion between same input/ouput DB engine, we can have
only one set.
The override flag will be passed either to input or output, based on
engine type it belongs to. It will never be passed to both of them and
cause unwelcome surprise to user.
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This minor release includes the following improvements and fixes:
New features:
- Configuration: make LMDB's `map_size` configurable and make `block_size` and `sled_cache_capacity` expressable as strings (such as `10M`) (#628, #630)
- Add support for binding to Unix sockets for the S3, K2V, Admin and Web API servers (#640)
- Move the `convert_db` command into the main Garage binary (#645)
- Add support for specifying RPC secret and admin tokens as environment variables (#643)
- Add `allow_world_readable_secrets` option to config file (#663, #685)
Bug fixes:
- Use `statvfs` instead of mount list to determine free space in metadata/data directories (#611, #631)
- Add missing casts to fix 32-bit build (#632)
- Fix error when none of the HTTP servers (S3/K2V/Admin/Web) is started and fix shutdown hang (#613, #633)
- Add missing CORS headers to PostObject response (#609, #656)
- Monitoring: finer histogram boundaries in Prometheus exported metrics (#531, #686)
Other:
- Documentation improvements (#641)
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Merge tag 'v0.8.5' into sync-08-09
Garage v0.8.5
This minor release includes the following improvements and fixes:
New features:
- Configuration: make LMDB's `map_size` configurable and make `block_size` and `sled_cache_capacity` expressable as strings (such as `10M`) (#628, #630)
- Add support for binding to Unix sockets for the S3, K2V, Admin and Web API servers (#640)
- Move the `convert_db` command into the main Garage binary (#645)
- Add support for specifying RPC secret and admin tokens as environment variables (#643)
- Add `allow_world_readable_secrets` option to config file (#663, #685)
Bug fixes:
- Use `statvfs` instead of mount list to determine free space in metadata/data directories (#611, #631)
- Add missing casts to fix 32-bit build (#632)
- Fix error when none of the HTTP servers (S3/K2V/Admin/Web) is started and fix shutdown hang (#613, #633)
- Add missing CORS headers to PostObject response (#609, #656)
- Monitoring: finer histogram boundaries in Prometheus exported metrics (#531, #686)
Other:
- Documentation improvements (#641)
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Sometimes, the secret files permissions checks gets in the way. It's
by no mean complete, it doesn't take the Posix ACLs into account among
other things. Correctly checking the ACLs would be too involving (see
#658 (comment))
and would likely still fail in some weird chmod settings.
We're adding a new configuration file key allowing the user to disable
this permission check altogether.
The (already existing) env variable counterpart always take precedence
to this config file option. That's useful in cases where the
configuration file is static and cannot be easily altered.
Fixes #658
Co-authored-by: Florian Klink <flokli@flokli.de>
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This is still a bit confusing, as normally the flake.defaultNix attrset
gets exposed via a top-level default.nix, but at least it brings us
closer to that.
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Compiling garage_db v0.8.2 (garage-0.8.2/src/db)
error: cannot find macro `warn` in this scope
--> src/db/lmdb_adapter.rs:352:2
|
352 | warn!("LMDB is not recommended on 32-bit systems, database size will be limited");
| ^^^^
|
= help: consider importing this macro:
tracing::warn
= note: `warn` is in scope, but it is an attribute: `#[warn]`
error: could not compile `garage_db` due to previous error
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* Renamed my_garage_service -> garage-s3-service.
* Defined a web service for port 3902.
* Added a garage-s3 router.
* Pointed website definition at web service.
* Use the /health endpoint for loadBalancer health check.
* Renamed gzip_compress to just compression as traefik v3 will also do
brotli compression.
DaemonSet is a k8s resource that schedules one instance per node,
which is useful for some garage deployment use cases, including
managing garage nodes using k8s node labels
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As discussed in the chat yesterday, I want to propose to disable the ingress per default.
The motivation behind this change is, that per default the ingress is "misconfigured"
meaning it can not work with the default values and requires a user of the chart to
add additional configuration. When installing the chart per default, I would not
expect to already expose garage publicly without my explicit configuration to do so
Commenting the ingressClass resource also allows for relying only on
annotations - otherwise the ingressClass would be always set to nginx
or require a user to override it with ingressClass: null
A small change on top, I've added the ability to specify user defined labels per ingress
The default values forces people to create an ingress resources,
where per default an ingress is not necessary to start garage.
If someone wants to utilize an ingress, he would need to define
the values for the ingress either way, so enabling the ingress
explicitly makes more sense, then requiring it to be disabled per default
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By default, Nginx does proxy buffering and it may store big replies to a
temporary file up to 1 GB. It also means that Nginx will read data as
fast as possible from Garage, even if the client downloads slowly. Both
behaviours are often not wanted, so disable this temporary file in the example.
Ref: https://nginx.org/en/docs/http/ngx_http_proxy_module.html#proxy_buffering
Also add an example of upstream with a "backup" server, which may be
useful to only use remote servers as fallback.
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- self.node_id_vec was not properly updated when the previous ring was empty
- ClusterLayout::merge was not considering changes in the layout parameters
- have consistent error return types
- store the zone redundancy in a Lww
- print the error and message in the CLI (TODO: for the server Api, should msg be returned in the body response?)
It takes as paramters the replication factor and the zone redundancy, computes the
largest partition size reachable with these constraints, and among the possible
assignation with this partition size, it computes the one that moves the least number
of partitions compared to the previous assignation.
This computation uses graph algorithms defined in graph_algo.rs
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Performance improvements included in this PR:
- [x] Use `Bytes` at a few places where appropriate, instead of `Vec<u8>`, to reduce the number of copies
- [x] StreamChunker now accumulates incoming slices in a `Vec<Bytes>` instead of a `VecDeque<u8>`. Replaces calls to `.extend()` and `.drain()` that were quite costly by a simple `concat()` on a vec of slices which is much more optimized
- [x] Hashing (b2, sha256, md5) is now done on a Tokio thread dedicated to cpu-intensive tasks, using `spawn_blocking`
- [x] Block manager now uses 256 independant locks instead of one big lock for writing, reduces contention when writing several/many objects in parallel
- [x] Better LMDB defaults: we now put flags `NoSync` and `NoMetaSync` to avoid `fsync` at each transaction (extremely slow). Also increased number of LMDB readers to accomodate more intensive workloads
Other changes included in this PR:
- [x] Update to hashing and MAC crates: md5 and sha2 from 0.9 to 0.10, hmac from 0.10 to 0.12
- [x] switch to `tracing_subscriber` for logs, which allows to have timing of each event
Reviewed-on: #342
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This PR includes work from @jirutka :
- [x] Allow linking against system-provided libraries (libsodium, libsqlite, libzstd) #370
- [x] Make OTLP exporter optional and allow building without Prometheus exporter (/metrics) #372
And also:
- [x] Update `.nix` files
- [x] Remove heed default-features
- [x] Bump versions of all Garage crates to 0.8.0
- [x] Make db engines (lmdb, sled, sqlite) optionnal
- [x] Add documentation for available features
- [x] Directly include code of previous versions used for migration in order to reduce dependencies
- [x] Read variable `GIT_VERSION` from garage main instead of in crate garage_util to make builds faster
- [x] Report features used in the build somewhere? (in `garage --version` or something)
- [x] Check we `warn!` correctly if we try to use deactivated feature
- [x] Allow not to launch S3 endpoint if not in config
Reviewed-on: #373
Garage currently uses the legacy resolver "1". The new one is used
by default if the root package specifies 'edition = 2021', which
Garage does not (yet).
The problem with the legacy resolver is, among others, that features
enabled by dev-dependencies are propagated to normal dependencies.
This affects e.g. hyper - one of the dev-dependencies enables "http2"
feature that adds many extra dependencies. If we build garage without
opentelemetry-otlp (this is enabled in the following commit), there's
no normal dependency enabling "http2" feature.
See https://doc.rust-lang.org/cargo/reference/resolver.html#feature-resolver-version-2
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Included in this PR:
- [x] Small refactor, resync code is moved to a separate `block/resync.rs` file
- [x] Block resync tranquility is no longer in config file, it is set dynamically using `garage worker set resync-tranquility` (this parameter is persisted over Garage restarts)
- [x] Up to 4 block resync workers can be activated to run simultaneously to speed up big resyncs, this parameter is set dynamically using `garage worker set resync-n-workers`
Reviewed-on: #369
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Unfortunately, rusqlite uses the opposite logic for enabling/disabling
bundled libraries to others (libsodium-sys, zstd-sys). Cargo features
are very limited and doesn't allow to enable feature A in a dependency
iff feature B is disabled.
Note, lmdb-rkv-sys doesn't need any special treatment because it
automatically links against system liblmdb if found via pkgconf.
Linux distros should build garage with
`--no-default-features --features system-libs` to disable bundled-libs
and enable system-libs.
If this feature is enabled, libsodium-sys and zstd-sys will link
dynamically against system-provided libraries instead of building
and linking statically the bundled (possibly outdated and vulnerable)
copies of them. This feature is intended mainly for linux package
maintainers.
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By default, structopt reports the value provided by
the env var CARGO_PKG_VERSION, feeded by Cargo when reading
Cargo.toml. However for Garage we use a versioning based on git,
so we often report a version that is behind the real version.
In this commit, we create garage_util::version::garage() that
reports the right version and configure all structopt subcommands
to call this function instead of using the env var.
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- [x] New background worker trait
- [x] Adapt all current workers to use new API
- [x] Command to list currently running workers, and whether they are active, idle, or dead
- [x] Error reporting
- Optimizations
- [x] Merkle updater: several items per iteration
- [ ] Use `tokio::task::spawn_blocking` where appropriate so that CPU-intensive tasks don't block other things going on
- scrub:
- [x] have only one worker with a channel to start/pause/cancel
- [x] automatic scrub
- [x] ability to view and change tranquility from CLI
- [x] persistence of a few info
- [ ] Testing
Co-authored-by: Alex Auvolat <alex@adnab.me>
Reviewed-on: #332
Co-authored-by: Alex <alex@adnab.me>
Co-committed-by: Alex <alex@adnab.me>
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- [x] Refactoring of internal counting API
- [x] Repair procedure for counters (it's an offline procedure!!!)
- [x] New counter for objects in buckets
- [x] Add quotas to buckets struct
- [x] Add CLI to manage bucket quotas
- [x] Add admin API to manage bucket quotas
- [x] Apply quotas by adding checks on put operations
- [x] Proof-read
Co-authored-by: Alex Auvolat <alex@adnab.me>
Reviewed-on: #326
Co-authored-by: Alex <alex@adnab.me>
Co-committed-by: Alex <alex@adnab.me>
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- [x] Design interface
- [x] Implement Sled backend
- [x] Re-implement the SledCountedTree hack ~~on Sled backend~~ on all backends (i.e. over the abstraction)
- [x] Convert Garage code to use generic interface
- [x] Proof-read converted Garage code
- [ ] Test everything well
- [x] Implement sqlite backend
- [x] Implement LMDB backend
- [ ] (Implement Persy backend?)
- [ ] (Implement other backends? (like RocksDB, ...))
- [x] Implement backend choice in config file and garage server module
- [x] Add CLI for converting between DB formats
- Exploit the new interface to put more things in transactions
- [x] `.updated()` trigger on Garage tables
Fix#284
**Bugs**
- [x] When exporting sqlite, trees iterate empty??
- [x] LMDB doesn't work
**Known issues for various back-ends**
- Sled:
- Eats all my RAM and also all my disk space
- `.len()` has to traverse the whole table
- Is actually quite slow on some operations
- And is actually pretty bad code...
- Sqlite:
- Requires a lock to be taken on all operations. The lock is also taken when iterating on a table with `.iter()`, and the lock isn't released until the iterator is dropped. This means that we must be VERY carefull to not do anything else inside a `.iter()` loop or else we will have a deadlock! Most such cases have been eliminated from the Garage codebase, but there might still be some that remain. If your Garage-over-Sqlite seems to hang/freeze, this is the reason.
- (adapter uses a bunch of unsafe code)
- Heed (LMDB):
- Not suited for 32-bit machines as it has to map the whole DB in memory.
- (adpater uses a tiny bit of unsafe code)
**My recommendation:** avoid 32-bit machines and use LMDB as much as possible.
**Converting databases** is actually quite easy. For example from Sled to LMDB:
```bash
cd src/db
cargo run --features cli --bin convert -- -i path/to/garage/meta/db -a sled -o path/to/garage/meta/db.lmdb -b lmdb
```
Then, just add this to your `config.toml`:
```toml
db_engine = "lmdb"
```
Co-authored-by: Alex Auvolat <alex@adnab.me>
Reviewed-on: #322
Co-authored-by: Alex <alex@adnab.me>
Co-committed-by: Alex <alex@adnab.me>
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The function now computes an optimal assignation (with respect to partition size) that minimizes the distance to the former assignation, using flow algorithms.
This commit was written by Mendes Oulamara <mendes.oulamara@pm.me>
2022-05-01 09:54:19 +02:00
678 changed files with 133237 additions and 16491 deletions
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)
Nextcloud will now make Garage encrypt files at rest in the storage bucket.
These files will not be readable by an S3 client that has credentials to the
bucket but doesn't also know the secret encryption key.
### 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).
@ -128,20 +176,24 @@ In other words, Peertube is only responsible of the "control plane" and offload
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
garage key create 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-videos
garage bucket create peertube-playlist
```
@ -195,6 +247,11 @@ object_storage:
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'
@ -206,7 +263,7 @@ object_storage:
# Same settings but for webtorrent videos
videos:
bucket_name: 'peertube-video'
bucket_name: 'peertube-videos'
prefix: ''
# You must fill this field to make Peertube use our reverse proxy/website logic
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!
Similarly, Garage's cookbook contains a collection of recipes that are known to work 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
@ -16,6 +16,10 @@ This chapter could also be referred as "Tutorials" or "Best practices".
source in case a binary is not provided for your architecture, or if you want to
hack with us!
- **[Binary packages](@/documentation/cookbook/binary-packages.md):** This page
lists the different platforms that provide ready-built software packages for
Garage.
- **[Integration with Systemd](@/documentation/cookbook/systemd.md):** This page explains how to run Garage
as a Systemd service (instead of as a Docker container).
@ -26,6 +30,10 @@ This chapter could also be referred as "Tutorials" or "Best practices".
- **[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.
- **[Deploying on Kubernetes](@/documentation/cookbook/kubernetes.md):** This page explains how to deploy Garage on Kubernetes using our Helm chart.
- **[Deploying with Ansible](@/documentation/cookbook/ansible.md):** This page lists available Ansible roles developed by the community to deploy Garage.
- **[Monitoring Garage](@/documentation/cookbook/monitoring.md)** This page
explains the Prometheus metrics available for monitoring the Garage
There are two methods to expose buckets as website:
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.
@ -36,7 +38,7 @@ Our website serving logic is as follow:
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))
- we set `root_domain = ".web.example.com"` in `garage.toml` ([ref](@/documentation/reference-manual/configuration.md#web_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):
# 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 |
| `syslog` | optional | Enable logging to Syslog |
| `lmdb` | *by default* | Enable using LMDB to store Garage's metadata |
| `sqlite` | *by default* | Enable using Sqlite3 to store Garage's metadata |
@ -21,7 +21,7 @@ You can configure Garage as a gateway on all nodes that will consume your S3 API
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:
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:
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:3903/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.
The list of exported metrics is available on our [dedicated page](@/documentation/reference-manual/monitoring.md) in the Reference manual section.
@ -11,21 +11,23 @@ We recommend first following the [quick start guide](@/documentation/quick-start
to get familiar with Garage's command line and usage patterns.
## Preparing your environment
## Prerequisites
### 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).
- Each machine has an IP address which makes it directly reachable by all other machines.
In many cases, nodes will be behind a NAT and will not each have a public
IPv4 addresses. In this case, is recommended that you use IPv6 for this
end-to-end connectivity if it is available. Otherwise, using a mesh VPN such as
[Nebula](https://github.com/slackhq/nebula) or
[Yggdrasil](https://yggdrasil-network.github.io/) are approaches to consider
in addition to building out your own VPN tunneling.
- Ideally, each machine should have a SSD available in addition to the HDD you are dedicating
to Garage. This will allow for faster access to metadata and has the potential
to significantly reduce Garage's response times.
- This guide will assume you are using Docker containers to deploy Garage on each node.
- 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.
@ -41,7 +43,7 @@ For our example, we will suppose the following infrastructure with IPv6 connecti
| 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
locations. This means that in the case of this small example, the usable 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
@ -49,17 +51,59 @@ 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 reasonably fast networking between all your nodes, and are planing to store
mostly large files, bump the `block_size` configuration parameter to 10 MB
(`block_size = "10M"`).
- 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.
- Servers with multiple HDDs are supported natively by Garage without resorting
to RAID, see [our dedicated documentation page](@/documentation/operations/multi-hdd.md).
- For the metadata storage, Garage does not do checksumming and integrity
verification on its own, so it is better to use a robust filesystem such as
BTRFS or ZFS. Users have reported that when using the LMDB database engine
(the default), database files have a tendency of becoming corrupted after an
unclean shutdown (e.g. a power outage), so you should take regular snapshots
to be able to recover from such a situation. This can be done using Garage's
built-in automatic snapshotting (since v0.9.4), or by using filesystem level
snapshots. If you cannot do so, you might want to switch to Sqlite which is
more robust.
- LMDB is the fastest and most tested database engine, but it has the following
weaknesses: 1/ data files are not architecture-independent, you cannot simply
move a Garage metadata directory between nodes running different architectures,
and 2/ LMDB is not suited for 32-bit platforms. Sqlite is a viable alternative
if any of these are of concern.
- If you only have an HDD and no SSD, it's fine to put your metadata alongside
the data on the same drive, but then consider your filesystem choice wisely
(see above). Having lots of RAM for your kernel to cache the metadata will
help a lot with performance. The default LMDB database engine is the most
tested and has good performance.
## Get a Docker image
Our docker image is currently named `dxflrs/amd64_garage` and is stored on the [Docker Hub](https://hub.docker.com/r/dxflrs/amd64_garage/tags?page=1&ordering=last_updated).
We encourage you to use a fixed tag (eg. `v0.4.0`) and not the `latest` tag.
For this example, we will use the latest published version at the time of the writing which is `v0.4.0` but it's up to you
to check [the most recent versions on the Docker Hub](https://hub.docker.com/r/dxflrs/amd64_garage/tags?page=1&ordering=last_updated).
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. `v1.0.0`) and not the `latest` tag.
For this example, we will use the latest published version at the time of the writing which is `v1.0.0` 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/amd64_garage:v0.4.0
sudo docker pull dxflrs/garage:v1.0.0
```
## Deploying and configuring Garage
@ -76,13 +120,15 @@ especially you must consider the following folders/files:
this folder will be your main data storage and must be on a large storage (e.g. large HDD)
A valid `/etc/garage/garage.toml` for our cluster would look as follows:
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"
metadata_auto_snapshot_interval = "6h"
replication_mode = "3"
replication_factor = 3
compression_level = 2
@ -90,8 +136,6 @@ rpc_bind_addr = "[::]:3901"
rpc_public_addr = "<thisnode'spublicIP>:3901"
rpc_secret = "<RPCsecret>"
bootstrap_peers = []
[s3_api]
s3_region = "garage"
api_bind_addr = "[::]:3900"
@ -125,19 +169,37 @@ docker run \
-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 \
lxpz/garage_amd64:v0.4.0
dxflrs/garage:v1.0.0
```
It should be restarted automatically at each reboot.
Please note that we use host networking as otherwise Docker containers
can not communicate with IPv6.
With this command line, Garage should be started automatically at each boot.
Please note that we use host networking as otherwise the network indirection
added by Docker would prevent Garage nodes from communicating with one another
(especially if using IPv6).
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.
If you want to use `docker-compose`, you may use the following `docker-compose.yml` file as a reference:
## Controling the daemon
```yaml
version: "3"
services:
garage:
image: dxflrs/garage:v1.0.0
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
```
If you wish to upgrade your cluster, make sure to read the corresponding
[documentation page](@/documentation/operations/upgrading.md) first, as well as
the documentation relevant to your version of Garage in the case of major
upgrades. With the containerized setup proposed here, the upgrade process
will require stopping and removing the existing container, and re-creating it
with the upgraded version.
## Controlling the daemon
The `garage` binary has two purposes:
- it acts as a daemon when launched with `garage server`
@ -146,6 +208,12 @@ The `garage` binary has two purposes:
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 also use an alias as follows to use the Garage binary inside your docker container:
```bash
alias garage="docker exec -ti <containername> /garage"
```
You can test your `garage` CLI utility by running a simple command such as:
```bash
@ -189,7 +257,7 @@ You can then instruct nodes to connect to one another as follows:
To add a new website, add the following declaration to your Traefik configuration file:
```toml
[http.routers]
[http.routers.garage-s3]
rule = "Host(`s3.example.org`)"
service = "garage-s3-service"
entryPoints = ["websecure"]
[http.routers.my_website]
rule = "Host(`yoururl.example.org`)"
service = "garage-web-service"
entryPoints = ["websecure"]
```
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 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 = ["compression"]
...
[http.middlewares]
[http.middlewares.compression.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)
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.
### Caching
Caddy can compiled with a
[cache plugin](https://github.com/caddyserver/cache-handler) which can be used
to provide a hot-cache at the webserver-level for static websites hosted by
Garage.
This can be configured as follows:
```caddy
# Caddy global configuration section
{
# Bare minimum configuration to enable cache.
order cache before rewrite
cache
#cache
# allowed_http_verbs GET
# default_cache_control public
# ttl 8h
#}
}
# Site specific section
https:// {
cache
#cache {
# timeout {
# backend 30s
# }
#}
reverse_proxy ...
}
```
Caching is a complicated subject, and the reader is encouraged to study the
available options provided by the plugin.
### On-demand TLS
Caddy supports a technique called
[on-demand TLS](https://caddyserver.com/docs/automatic-https#on-demand-tls), by
which one can configure the webserver to provision TLS certificates when a
client first connects to it.
In order to prevent an attack vector whereby domains are simply pointed at your
webserver and certificates are requested for them - Caddy can be configured to
ask Garage if a domain is authorized for web hosting, before it then requests
a TLS certificate.
This 'check' endpoint, which is on the admin port (3903 by default), can be
configured in Caddy's global section as follows:
```caddy
{
...
on_demand_tls {
ask http://localhost:3903/check
interval 2m
burst 5
}
...
}
```
The host section can then be configured with (note that this uses the web
*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.*
**A note on hardening:** Garage will be run as a non privileged user, its user
id is dynamically allocated by systemd (set with `DynamicUser=true`). 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. Additionnaly, the process
can not gain new privileges over time.
For this to work correctly, 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 the DynamicUser hardening feature of systemd, which
autocreates these directories as virtual mapping. If the directory
`/var/lib/garage` already exists before starting the server for the first time,
the systemd service might not start correctly. Note that in your host
filesystem, Garage data will be held in `/var/lib/private/garage`.
To start the service then automatically enable it at boot:
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.
We love to talk and hear about Garage, that's why we keep a log here:
- [(en, 2023-01-18) Presentation of Garage with some details on CRDTs and data partitioning among nodes](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/commit/4cff37397f626ef063dad29e5b5e97ab1206015d/doc/talks/2023-01-18-tocatta/talk.pdf)
- [(fr, 2022-11-19) De l'auto-hébergement à l'entre-hébergement : Garage, pour conserver ses données ensemble](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/commit/4cff37397f626ef063dad29e5b5e97ab1206015d/doc/talks/2022-11-19-Capitole-du-Libre/pr%C3%A9sentation.pdf)
- [(en, 2022-06-23) General presentation of Garage](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/commit/4cff37397f626ef063dad29e5b5e97ab1206015d/doc/talks/2022-06-23-stack/talk.pdf)
- [(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)
- [(en, 2021-04-28) Distributed object storage is centralised](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/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!*
- [(fr, 2020-12-02) Garage : jouer dans la cour des grands quand on est un hébergeur associatif](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/commit/b1f60579a13d3c5eba7f74b1775c84639ea9b51a/doc/talks/2020-12-02_wide-team/talk.pdf)
object storage protocole. It enables applications to store large blobs such
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 solutoin, we focus on the following **desirable properties**:
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.
- **Internet enabled**: made for multi-sites (eg. datacenters, offices, households, etc.) interconnected through regular Internet connections.
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):
@ -42,15 +42,11 @@ locations. They use Garage themselves for the following tasks:
- 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`
- To store personal data and shared documents through [Bagage](https://git.deuxfleurs.fr/Deuxfleurs/bagage), a homegrown WebDav-to-S3 and SFTP-to-S3 proxy
- As a backup target using `rclone` and `restic`
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
**[IPFS](https://ipfs.io/):** IPFS has design goals radically different from Garage, we have [a blog post](@/blog/2022-ipfs/index.md) talking about it.
Garage automatically resyncs all entries stored in the metadata tables every hour,
to ensure that all nodes have the most up-to-date version of all the information
they should be holding.
The resync procedure is based on a Merkle tree that allows to efficiently find
differences between nodes.
In some special cases, e.g. before an upgrade, you might want to run a table
resync manually. This can be done using `garage repair tables`.
## Metadata table reference fixes
In some very rare cases where nodes are unavailable, some references between objects
are broken. For instance, if an object is deleted, the underlying versions or data
blocks may still be held by Garage. If you suspect that such corruption has occurred
in your cluster, you can run one of the following repair procedures:
- `garage repair versions`: checks that all versions belong to a non-deleted object, and purges any orphan version
- `garage repair block-refs`: checks that all block references belong to a non-deleted object version, and purges any orphan block reference (this will then allow the blocks to be garbage-collected)
- `garage repair block-rc`: checks that the reference counters for blocks are in sync with the actual number of non-deleted entries in the block reference table
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.
In Garage, all of the data that can be stored in a given cluster is divided
into slices which we call *partitions*. Each partition is stored by
one or several nodes in the cluster
(see [`replication_factor`](@/documentation/reference-manual/configuration.md#replication_factor)).
The layout determines the correspondence between these partitions,
which exist on a logical level, and actual storage nodes.
## How cluster layouts work in Garage
A cluster layout is composed of the following components:
- a table of roles assigned to nodes, defined by the user
- an optimal assignation of partitions to nodes, computed by an algorithm that is ran once when calling `garage layout apply` or the ApplyClusterLayout API endpoint
- 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.
All operations on the layout can be realized using the `garage` CLI or using the
[administration API endpoint](@/documentation/reference-manual/admin-api.md).
We give here a description of CLI commands, the admin API semantics are very similar.
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:
an overview for which Garage versions are currently in use within a cluster.
## Minor upgrades
Minor 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 tables` which is very quick to run (less than a minute).
You will see that the command correctly terminated in the logs of your daemon, or using `garage worker list` (the repair workers should be in the `Done` state).
Finally, you can simply upgrade nodes one by one.
For each node: stop it, install the new binary, edit the configuration if needed, restart it.
## Major upgrades
Major upgrades can be done with minimal downtime with a bit of preparation, but the simplest way is usually to put the cluster offline for the duration of the migration.
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.
We write guides for each major upgrade, they are stored under the "Working Documents" section of this documentation.
### Major upgrades with full downtime
From a high level perspective, a major upgrade looks like this:
1. Disable API access (for instance in your reverse proxy, or by commenting the corresponding section in your Garage configuration file and restarting Garage)
2. Check that your cluster is idle
3. Make sure the health of your cluster is good (see `garage repair`)
4. Stop the whole cluster
5. Back up the metadata folder of all your nodes, so that you will be able to restore it if the upgrade fails (data 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 (reverse step 1)
11. Monitor your cluster while load comes back, check that all your applications are happy with this new version
### Major upgarades with minimal downtime
There is only one operation that has to be coordinated cluster-wide: the switch of one version of the internal RPC protocol to the next.
This means that an upgrade with very limited downtime can simply be performed from one major version to the next by restarting all nodes
simultaneously in the new version.
The downtime will simply be the time required for all nodes to stop and start again, which should be less than a minute.
If all nodes fail to stop and restart simultaneously, some nodes might be temporarily shut out from the cluster as nodes using different RPC protocol
versions are prevented to talk to one another.
The entire procedure would look something like this:
1. Make sure the health of your cluster is good (see `garage repair`)
2. Take each node offline individually to back up its metadata folder, bring them back online once the backup is done.
You can do all of the nodes in a single zone at once as that won't impact global cluster availability.
Do not try to make a backup of the metadata folder of a running node.
**Since Garage v0.9.4,** you can use the `garage meta snapshot --all` command
to take a simultaneous snapshot of the metadata database files of all your
nodes. This avoids the tedious process of having to take them down one by
one before upgrading. Be careful that if automatic snapshotting is enabled,
Garage only keeps the last two snapshots and deletes older ones, so you might
want to disable automatic snapshotting in your upgraded configuration file
until you have confirmed that the upgrade ran successfully. In addition to
snapshotting the metadata databases of your nodes, you should back-up at
least the `cluster_layout` file of one of your Garage instances (this file
should be the same on all nodes and you can copy it safely while Garage is
running).
3. Prepare your binaries and configuration files for the new Garage version
4. Restart all nodes simultaneously in the new version
5. If any specific migration procedure is required, it is usually in one of the two cases:
- It can be run on online nodes after the new version has started, during regular cluster operation.
- it has to be run offline, in which case you will have to again take all nodes offline one after the other to run the repair
For this last step, please refer to the specific documentation pertaining to the version upgrade you are doing.
# HELP api_admin_request_duration Duration of API calls to the various Admin API endpoints
...
```
### Health `GET /health`
Returns `200 OK` if enough nodes are up to have a quorum (ie. serve requests),
otherwise returns `503 Service Unavailable`.
**Example:**
```
$ curl -i http://localhost:3903/health
HTTP/1.1 200 OK
content-type: text/plain
content-length: 102
date: Tue, 08 Aug 2023 07:22:38 GMT
Garage is fully operational
Consult the full health check API endpoint at /v0/health for more details
```
### On-demand TLS `GET /check`
To prevent abuse for on-demand TLS, Caddy developers have specified an endpoint that can be queried by the reverse proxy
to know if a given domain is allowed to get a certificate. Garage implements these endpoints to tell if a given domain is handled by Garage or is garbage.
Garage responds with the following logic:
- If the domain matches the pattern `<bucket-name>.<s3_api.root_domain>`, returns 200 OK
- If the domain matches the pattern `<bucket-name>.<s3_web.root_domain>` and website is configured for `<bucket>`, returns 200 OK
- If the domain matches the pattern `<bucket-name>` and website is configured for `<bucket>`, returns 200 OK
- Otherwise, returns 404 Not Found, 400 Bad Request or 5xx requests.
*Note 1: because in the path-style URL mode, there is only one domain that is not known by Garage, hence it is not supported by this API endpoint.
You must manually declare the domain in your reverse-proxy. Idem for K2V.*
*Note 2: buckets in a user's namespace are not supported yet by this endpoint. This is a limitation of this endpoint currently.*
**Example:** Suppose a Garage instance is configured with `s3_api.root_domain = .s3.garage.localhost` and `s3_web.root_domain = .web.garage.localhost`.
With a private `media` bucket (name in the global namespace, website is disabled), the endpoint will feature the following behavior:
- [Add option for a backend check to approve use of on-demand TLS](https://github.com/caddyserver/caddy/pull/1939)
- [Serving tens of thousands of domains over HTTPS with Caddy](https://caddy.community/t/serving-tens-of-thousands-of-domains-over-https-with-caddy/11179)
**This guide explains how to migrate to 0.8 if you have an existing 0.7 cluster.
We don't recommend trying to migrate to 0.8 directly from 0.6 or older.**
**We make no guarantee that this migration will work perfectly:
back up all your data before attempting it!**
Garage v0.8 introduces new data tables that allow the counting of objects in buckets in order to implement bucket quotas.
A manual migration step is required to first count objects in Garage buckets and populate these tables with accurate data.
## Simple migration procedure (takes cluster offline for a while)
The migration steps are as follows:
1. Disable API and web access. Garage v0.7 does not support disabling
these endpoints but you can change the port number or stop your reverse proxy for instance.
2. Do `garage repair --all-nodes --yes tables` and `garage repair --all-nodes --yes blocks`,
check the logs and check that all data seems to be synced correctly between
nodes. If you have time, do additional checks (`versions`, `block_refs`, etc.)
3. Check that queues are empty: run `garage stats` to query them or inspect metrics in the Grafana dashboard.
4. Turn off Garage v0.7
5. **Backup the metadata folder of all your nodes!** For instance, use the following command
if your metadata directory is `/var/lib/garage/meta`: `cd /var/lib/garage ; tar -acf meta-v0.7.tar.zst meta/`
6. Install Garage v0.8
7. **Before starting Garage v0.8**, run the offline migration step: `garage offline-repair --yes object_counters`.
This can take a while to run, depending on the number of objects stored in your cluster.
8. Turn on Garage v0.8
9. Do `garage repair --all-nodes --yes tables` and `garage repair --all-nodes --yes blocks`.
Wait for a full table sync to run.
10. Your upgraded cluster should be in a working state. Re-enable API and Web
access and check that everything went well.
11. Monitor your cluster in the next hours to see if it works well under your production load, report any issue.
## Minimal downtime migration procedure
The migration to Garage v0.8 can be done with almost no downtime,
by restarting all nodes at once in the new version. The only limitation with this
method is that bucket sizes and item counts will not be estimated correctly
until all nodes have had a chance to run their offline migration procedure.
The migration steps are as follows:
1. Do `garage repair --all-nodes --yes tables` and `garage repair --all-nodes --yes blocks`,
check the logs and check that all data seems to be synced correctly between
nodes. If you have time, do additional checks (`versions`, `block_refs`, etc.)
2. Turn off each node individually; back up its metadata folder (see above); turn it back on again. This will allow you to take a backup of all nodes without impacting global cluster availability. You can do all nodes of a single zone at once as this does not impact the availability of Garage.
3. Prepare your binaries and configuration files for Garage v0.8
4. Shut down all v0.7 nodes simultaneously, and restart them all simultaneously in v0.8. Use your favorite deployment tool (Ansible, Kubernetes, Nomad) to achieve this as fast as possible.
5. At this point, Garage will indicate invalid values for the size and number of objects in each bucket (most likely, it will indicate zero). To fix this, take each node offline individually to do the offline migration step: `garage offline-repair --yes object_counters`. Again you can do all nodes of a single zone at once.
**This guide explains how to migrate to 0.9 if you have an existing 0.8 cluster.
We don't recommend trying to migrate to 0.9 directly from 0.7 or older.**
This migration procedure has been tested on several clusters without issues.
However, it is still a *critical procedure* that might cause issues.
**Make sure to back up all your data before attempting it!**
You might also want to read our [general documentation on upgrading Garage](@/documentation/operations/upgrading.md).
The following are **breaking changes** in Garage v0.9 that require your attention when migrating:
- LMDB is now the default metadata db engine and Sled is deprecated. If you were using Sled, make sure to specify `db_engine = "sled"` in your configuration file, or take the time to [convert your database](https://garagehq.deuxfleurs.fr/documentation/reference-manual/configuration/#db-engine-since-v0-8-0).
- Capacity values are now in actual byte units. The translation from the old layout will assign 1 capacity = 1Gb by default, which might be wrong for your cluster. This does not cause any data to be moved around, but you might want to re-assign correct capacity values post-migration.
- Multipart uploads that were started in Garage v0.8 will not be visible in Garage v0.9 and will have to be restarted from scratch.
- Changes to the admin API: some `v0/` endpoints have been replaced by `v1/` counterparts with updated/uniformized syntax. All other endpoints have also moved to `v1/` by default, without syntax changes, but are still available under `v0/` for compatibility.
## Simple migration procedure (takes cluster offline for a while)
The migration steps are as follows:
1. Disable API and web access. You may do this by stopping your reverse proxy or by commenting out
the `api_bind_addr` values in your `config.toml` file and restarting Garage.
2. Do `garage repair --all-nodes --yes tables` and `garage repair --all-nodes --yes blocks`,
check the logs and check that all data seems to be synced correctly between
nodes. If you have time, do additional checks (`versions`, `block_refs`, etc.)
3. Check that the block resync queue and Merkle queue are empty:
run `garage stats -a` to query them or inspect metrics in the Grafana dashboard.
4. Turn off Garage v0.8
5. **Backup the metadata folder of all your nodes!** For instance, use the following command
if your metadata directory is `/var/lib/garage/meta`: `cd /var/lib/garage ; tar -acf meta-v0.8.tar.zst meta/`
6. Install Garage v0.9
7. Update your configuration file if necessary.
8. Turn on Garage v0.9
9. Do `garage repair --all-nodes --yes tables` and `garage repair --all-nodes --yes blocks`.
Wait for a full table sync to run.
10. Your upgraded cluster should be in a working state. Re-enable API and Web
access and check that everything went well.
11. Monitor your cluster in the next hours to see if it works well under your production load, report any issue.
12. You might want to assign correct capacity values to all your nodes. Doing so might cause data to be moved
in your cluster, which should also be monitored carefully.
## Minimal downtime migration procedure
The migration to Garage v0.9 can be done with almost no downtime,
by restarting all nodes at once in the new version.
The migration steps are as follows:
1. Do `garage repair --all-nodes --yes tables` and `garage repair --all-nodes --yes blocks`,
check the logs and check that all data seems to be synced correctly between
nodes. If you have time, do additional checks (`versions`, `block_refs`, etc.)
2. Turn off each node individually; back up its metadata folder (see above); turn it back on again.
This will allow you to take a backup of all nodes without impacting global cluster availability.
You can do all nodes of a single zone at once as this does not impact the availability of Garage.
3. Prepare your binaries and configuration files for Garage v0.9
4. Shut down all v0.8 nodes simultaneously, and restart them all simultaneously in v0.9.
Use your favorite deployment tool (Ansible, Kubernetes, Nomad) to achieve this as fast as possible.
Garage v0.9 should be in a working state as soon as it starts.
5. Proceed with repair and monitoring as described in steps 9-12 above.
- integration tests written in Rust (`src/garage/test`) to check that Garage operations perform correctly
- integration test for compatibility with external tools (`script/test-smoke.sh`)
We have also tried `minio/mint` but it fails a lot and for now we haven't gotten a lot from it.
In the future:
1. We'd like to have a systematic way of testing with `minio/mint`,
it would add value to Garage by providing a compatibility score and reference that can be trusted.
2. We'd also like to do testing with Jepsen in some way.
## How to instrument Garagae
We should try to test in least invasive ways, i.e. minimize the impact of the testing framework on Garage's source code. This means for example:
- Not abstracting IO/nondeterminism in the source code
- Not making `garage` a shared library (launch using `execve`, it's perfectly fine)
Instead, we should focus on building a clean outer interface for the `garage` binary,
for example loading configuration using environnement variables instead of the configuration file if that's helpfull for writing the tests.
There are two reasons for this:
- Keep the soure code clean and focused
- Test something that is as close as possible as the true garage that will actually be running
Reminder: rules of simplicity, concerning changes to Garage's source code.
Always question what we are doing.
Never do anything just because it looks nice or because we "think" it might be usefull at some later point but without knowing precisely why/when.
Only do things that make perfect sense in the context of what we currently know.
## References
Testing is a research field on its own.
About testing distributed systems:
- [Jepsen](https://jepsen.io/) is a testing framework designed to test distributed systems. It can mock some part of the system like the time and the network.
- [FoundationDB Testing Approach](https://www.micahlerner.com/2021/06/12/foundationdb-a-distributed-unbundled-transactional-key-value-store.html#what-is-unique-about-foundationdbs-testing-framework). They chose to abstract "all sources of nondeterminism and communication are abstracted, including network, disk, time, and pseudo random number generator" to be able to run tests by simulating faults.
- [Testing Distributed Systems](https://asatarin.github.io/testing-distributed-systems/) - Curated list of resources on testing distributed systems
- [intel-cloud/cosbench](https://github.com/intel-cloud/cosbench) - used by Ceph
Engineering blog posts:
- [Quincy @ Scale: A Tale of Three Large-Scale Clusters](https://ceph.io/en/news/blog/2022/three-large-scale-clusters/)
Interesting blog posts on the blog of the Sled database:
- <https://sled.rs/simulation.html>
- <https://sled.rs/perf.html>
Misc:
- [mutagen](https://github.com/llogiq/mutagen) - mutation testing is a way to assert our test quality by mutating the code and see if the mutation makes the tests fail
- [fuzzing](https://rust-fuzz.github.io/book/) - cargo supports fuzzing, it could be a way to test our software reliability in presence of garbage data.
| `prefix` | `null` | Restrict items to poll to those whose sort keys start with this prefix |
| `start` | `null` | The sort key of the first item to poll |
| `end` | `null` | The sort key of the last item to poll (excluded) |
| `timeout` | 300 | The timeout before 304 NOT MODIFIED is returned if no value in the range is updated |
| `seenMarker` | `null` | An opaque string returned by a previous PollRange call, that represents items already seen |
The timeout can be set to any number of seconds, with a maximum of 600 seconds (10 minutes).
The response is either:
- A HTTP 304 NOT MODIFIED response with an empty body, if the timeout expired and no changes occurred
- A HTTP 200 response, indicating that some changes have occurred since the last PollRange call, in which case a JSON object is returned in the body with the following fields: