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5b419b0e6a Add translation of open letter 2024-07-19 11:52:04 +02:00
39084fa4f7 add open letter for ngi 2024-07-14 16:48:57 +02:00
93273a8181 Merge pull request 'Web app manifest improvements' (#18) from tixie/garagehq.deuxfleurs.fr:webappmanifest-improvements into master
Reviewed-on: Deuxfleurs/garagehq.deuxfleurs.fr#18
2024-04-08 15:06:19 +00:00
aed1e4e7df
Web app manifest: Avoid being displayed without the web browser UI when installed in PWA mode 2024-04-08 16:08:48 +02:00
2796a81d0a
Web app manifest: fill name keys 2024-04-08 15:41:26 +02:00
049dc482cf remove survey links 2024-03-12 11:20:59 +01:00
74d33bb929 Add community survey link 2024-01-17 15:27:55 +01:00
5037bdb833 mention new nlnet funding 2024-01-17 13:29:46 +01:00
db306ba29d remove +x chmod bit on files 2024-01-17 13:07:06 +01:00
df1a2b651a update blog post for phd 2024-01-10 21:54:26 +01:00
0fc349dd35 add blog post about phd offering 2024-01-10 17:10:52 +01:00
87fce758c7 update doc and fix date 2023-12-06 18:04:57 +01:00
d3c5a34d27 remove --- in article 2023-12-06 18:03:33 +01:00
e66f6de458 complete blog post on nlnet task3 2023-12-06 18:01:47 +01:00
10bd783ce6 wip: layout update trackers 2023-12-01 14:27:33 +01:00
96b7e90976 wip: blog post on read-after-write and nlnet task 3 2023-12-01 13:30:29 +01:00
c8514a3793 add blog post on leaderless consensus 2023-11-30 13:41:38 +01:00
16fa02f53a update main garage repo 2023-11-30 13:41:28 +01:00
1fd49ef40f update garage commit version 2023-11-23 13:16:27 +01:00
acce983c56 download page: add "download" attribute to <a> elements
Co-authored-by: sptaule <lecas83@gmail.com>
2023-11-23 13:13:44 +01:00
1559433753
Add shell.nix and update garage source, include api docs copy 2022-11-16 12:06:57 +01:00
48 changed files with 825 additions and 18 deletions

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commands:
- git submodule update --init --recursive
- cp -rv garage/doc/book content/documentation
- cp -rv garage/doc/api static/api
- name: build-css
image: node

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static/style.css
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title='Thoughts on "Leaderless Consensus"'
date=2023-11-30
+++
*Consensus algorithms such as Raft and Paxos, which are used in many distributed databases,
have notoriously unpredictable performance in low-quality networks that suffer from
latency, jitter, packet loss and/or unavailable nodes, which is why Garage does not use
them and uses only CRDTs. A new paper by Antoniadis et al., [*Leaderless Consensus*](https://www.sciencedirect.com/science/article/abs/pii/S0743731523000151),
introduces a new category of algorithms that better tolerate the frequent
unavailability of a subset of nodes. However, additional research and practical work is required before
these results can be put into practice. Read for more details.*
<!-- more -->
---
As I have said many times when presenting Garage, we have made a point of not
using any consensus algorithm in Garage and using only CRDTs, for several
reasons. The first, and most important reason, is that all of the consensus
algorithms that we know of[^1] (in particular Raft, which is very popular in
distributed databases) suffer from unpredictable performance when nodes or the
network are unreliable. Even in relatively stable conditions, Raft-like
algorithms can still be much slower than CRDTs (as we have shown in some
[benchmarks](https://garagehq.deuxfleurs.fr/documentation/design/benchmarks/#on-a-complex-simulated-network))
because they elect a leader node and require all operations to pass through the
leader, which can become a bottleneck. Other than performance issues, Raft is
a complex algorithm and implementing it correctly is a challenging software
engineering endeavor that we did not wish to undertake, preferring instead
simplicity as a foundational principle to help us write correct software.
However, writing a distributed system such as Garage can be challenging when
consensus is not available, as we can only use CRDTs (conflict-free replicated
data types) in the code, and we cannot rely on state machine replication. This
means that the specific semantics of CRDTs have to be taken into account
everywhere in the code, which is often not a problem but sometimes adds some
complexity. More importantly, this means that a whole class of features cannot
be implemented in Garage, like those that would require some form of locking or
exclusive access. In practice, this has been causing us issues on the
CreateBucket endpoint, which by definition is meant to exclusively associate a
bucket name to a newly created bucket. In current Garage versions, concurrent
calls to CreateBucket with the same name may create several buckets and leave
Garage in an inconsistent state.
This leads naturally to the following question: is it possible to implement a
consensus algorithm that eschews the shortcomings of Raft-like algorithms in
unreliable systems? And in particular, is it possible to implement a consensus
algorithm that does not elect a leader, and is therefore not sensitive to
temporary slowdowns or unavailabilities of individual nodes? A new paper by
Antoniadis et al., [*Leaderless
Consensus*](https://www.sciencedirect.com/science/article/abs/pii/S0743731523000151)
[[PDF](/blog/2023-11-thoughts-on-leaderless-consensus/2023-Leaderless_consensus_JPDC.pdf)],
suggests that the answer is *yes*. However, as with all new research, putting
it into practice will take some time and a lot of work. I will discuss in this
article practical questions posed by the *Leaderless Consensus* paper, and
further steps that could be taken to advance on these issues.
Please note that the entire content of this article is **purely speculative**
and does not include any *positive results*. Note also that we are not
discussing Byzantine-tolerant systems, which seem to be the main focus of
*Leaderless Consensus*, even though the authors also propose an algorithm for
non-Byzantine systems (the one we are interested in).
## Main takeaways of *Leaderless Consensus*
To be able to meaningfully say that an algorithm is *leaderless*, one has to first
determine what *leaderless* precisely means. The paper starts by offering such
a definition, using a network model they call *synchronous-k* ("synchronous minus *k*"),
where *n* nodes are running in synchronous steps where at most *k* nodes might be
offline, paused, or otherwise unavailable, at each step.
The *synchronous-k* model has a variant called *eventually synchronous-k* which seems
to better model the behaviour of WAN links on the Internet, although I am not sure
of the precise difference between the two. Once the *synchronous-k* network model
is defined, a leaderless consensus algorithm is simply defined as a consensus algorithm
that still works (i.e. it terminates, giving a decision), in a *synchronous-1* system.
Concretely, this means that at any given time, a random node in the network may be
disconnected (not always the same one), and the consensus algorithm will be impacted
only minimally. In other words, we can say that a leaderless consensus algorithm
degrades gracefully in the presence of transient node failures.
This "graceful degradation" property, which Raft does not have,
seems to be exactly what we are looking for in a potential consensus algorithm that
could be added to Garage.
Having given this definition, the paper continues by offering concrete
algorithms to implement leaderless consensus. Of particular interest to us, the
paper presents in Section 5 a leaderless consensus algorithm, which they call
OFT-Archipelago, which works in message passing systems without Byzantine
nodes, where the only faults that can occur are message omissions (like
messages being dropped by the network, or temporary node crashes). This is
exactly the premise made by Garage, so this algorithm could be a good candidate
for us. Interestingly, while leaderless consensus is formally defined as a
consensus algorithm that works in a *synchronous-1* system (i.e. tolerating
only one failed node at each step), Archipelago works with up to *f < n/2*
unavailable nodes at each time steps.
According to the benchmarks in the leaderless consensus paper, while
Archipelago has very good throughput (around 50kops/s), the latency of
individual operations is generally between 1 or 2 seconds. This seems to be
acceptable for application in Garage if used only for administrative operations
on buckets and access keys which are relatively rare. From a theoretical point
of view, OFT-Archipelago can terminate in 3 RTT in the optimal scenario,
however it is not clear to me whether there is an upper bound on the
termination time, or whether there is a probabilistic analysis of the
termination delays that could be made. It is also not very clear to me the
link between this algorithm and the FLP impossibility theorem: since
Archipelago seems to do things that are forbidden by FLP, it means that the
premise of a *synchronous-k* system is probably in fact much stronger that the
network asynchrony assumed by FLP.
Among the other advantages of OFT-Archipelago is the fact that the algorithm
seems to be very simple, much more than Raft, as it is described in the paper
in only 42 lines of very understandable pseudocode. There is also a BFT
variant of Archipelago, which is not of interest to us in the context of Garage
as we are making the hypothesis that all nodes are trusted.
## Where to go from now?
Before an algorithm such as OFT-Archipelago can be added to Garage, a few fundamental
questions need to be answered, among which:
- How should Archipelago interact with Garage's use of CRDT data types? Do we
have to create a fully separate subsystem for things that are managed under
consensus, or can we hopefully share some logic? More precisely, can we use
a consensus algorithm simply as a total order broadcast primitive that
becomes a mandatory passing point for all modification requests on a set of
metadata tables, with those tables still being based on the CRDT table
replication and synchronisation library which is currently in use in Garage?
In this situation, nodes that come back from a crash can simply catch up on
old changes using the Merkle tree algorithm synchronisation algorithm that we
already have. Or must we use the consensus algorithm as the only way to
broadcast operations and data for the tables that are managed by it? This
would mean that we must add specific logic to handle the case of a node
coming back from a crash, where it must either download all the log of
operations since it was last up, or an entire snapshot of the metadata tables
in question. I think this is mostly related to the reason we want to add
consensus, and the exact consistency guarantees we are expecting it to
provide to us.
- Can Archipelago be made correct under cluster reconfiguration scenarios? This
is linked to the work done for task 3 of the 2023 NLnet project
([#495](https://git.deuxfleurs.fr/Deuxfleurs/garage/issues/495),
[#667](https://git.deuxfleurs.fr/Deuxfleurs/garage/pulls/667)), which focuses
on making the Quorum-based algorithm for CRDT updates reliable even when the
cluster layout is updated. I will be writing more about this topic in a
future blog post, but in a nutshell, the NLnet task is mainly focused on
maintaining read-after-write consistency in Garage at all times, which has
led us to develop a relatively general framework for modeling algorithm based
on quorums. Since Archipelago also guarantees its correctness using a
non-empty-intersection-of-quorums property, it could benefit from the work
that was originally made on quorums for the CRDT algorithms.
If we obtain satisfactory answers to these questions, the remaining work will be
the technical implementation of Archipelago in Garage and its validation:
- Determine more precisely how the pipelined version of Archipelago is made,
as its complete description is not given in the leaderless consensus paper,
only a few basic pointers (Section 8.1 of the JPDC version).
- Implement Archipelago in Rust, ideally under the form of a generic reusable crate
that could be used outside of the context of Garage.
- Do a benchmark of Archipelago vs. existing Raft implementations (for instance
the async-raft crate). We should benchmark the algorithms in the following
scenarios: stable networking, high latency and jitter, evolutive situation
with different phases. My hypothesis is that Archipelago could be slower (in
terms of latency, not necessarily in throughput) than Raft in the stable
networking scenario, but the other two scenarios would force Raft to
reconfigure often (i.e. change leaders), which could be the source of huge
performance penalties, which Archipelago would not suffer from.
- Integrate Archipelago with Garage to solve the CreateBucket issue.
- To validate our implementation, we would want to test it using automated
testing frameworks such as Jepsen. I've been using Jepsen for the NLnet task
3 and I'm starting to understand quite well how it works, so this could be
relatively easy.
- If we want to go further, there is always the possibility of formalizing a
proof of our implementation, however I don't know what are the good tools to
do this, and in all cases it would be an extreme amount of work.
Please send your comments and feedback to
[garagehq@deuxfleurs.fr](mailto:garagehq@deuxfleurs.fr) if you have any.
---
<sup id="1">1</sup>: We are concerned only with consensus algorithms in the
context of closed, trusted systems such as distributed databases, and not in
large trustless networks such as blockchains.
Written by [Alex Auvolat](https://adnab.me).

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title="Maintaining read-after-write consistency in all circumstances"
date=2023-12-06
+++
*Garage is a data storage system that is based on CRDTs internally. It does not
use a consensus algorithm such as Raft, therefore maintaining consistency in a
cluster has to be done by other means. Since its inception, Garage has made use
of read and write quorums to guarantee read-after-write consistency, the only
consistency guarantee it provides. However, as of Garage v0.9.0, this guarantee
is not maintained when the composition of a cluster is updated and data is
moved between storage nodes. As part of our current NLnet-funded project, we
are developing a solution to this problem. This blog post proposes a
high-level overview of the proposed solution.*
<!-- more -->
---
Garage provides mainly one consistency guarantee, read-after-write for objects, which can be described as follows:
**Read-after-write consistency.** *If a client A writes an object x (e.g. using
PutObject) and receives a `HTTP 200 OK` response, and later a client B tries to
read object x (e.g. using GetObject), then B will read the version written by
A, or a more recent version.*
The consistency guarantee offered by Garage is slightly more general than this
simplistic formulation, as it also applies to other S3 endpoints such as
ListObjects, which are always guaranteed to reflect the latest version of
objects inserted in a bucket. Note that Amazon calls this guarantee [*strong*
read-after-write consistency](https://aws.amazon.com/s3/consistency/) (they
also have it on AWS), to differentiate it from [another definition of
read-after-write
consistency](https://avikdas.com/2020/04/13/scalability-concepts-read-after-write-consistency.html)
that only applies to data that is read by the same client that wrote it. Since
that weaker form is also called
[read-your-writes](https://jepsen.io/consistency/models/read-your-writes), I
will always be referring to the strong version when using the term
"read-after-write consistency".
In Garage, this consistency guarantee at the level of objects in the S3 API is
in fact a reflection of read-after-write consistency in the internal metadata
engine (which is a distributed key/value store with CRDT values). Reads and
writes to metadata tables use quorums of 2 out of 3 nodes for each operation,
ensuring that if operation B starts after operation A has completed, then there
is at least one node that is handling both operation A and B. In the case where
A is a write (an update) and B is a read, that node will have the opportunity
to return the value written in A to the reading client B. A visual depiction
of this process can be found in [this
presentation](https://git.deuxfleurs.fr/Deuxfleurs/garage/src/commit/a8b0e01f88b947bc34c05d818d51860b4d171967/doc/talks/2023-09-20-ocp/talk.pdf)
on slide 32 (pages 57-64), and the algorithm is written down on slide 33 (page
54).
Note that read-after-write guarantees [are broken and have always
been](https://git.deuxfleurs.fr/Deuxfleurs/garage/issues/147) for metadata
related to buckets and access keys, which might not be something we can fix due
to different requirements on the quorums for the related metadata tables.
## Current issues with read-after-write consistency
Maintaining read-after-write consistency depends crucially on the intersection
of the quorums being non-empty. There is however a scenario where these quorums
may be empty: when the set of nodes affected to storing some entries changes,
for instance when nodes are added or removed and data is being rebalanced
between nodes.
### A concrete example
Take the case of a partition (a subset of the data stored by Garage) which is
stored on nodes A, B and C. At some point, a layout change occurs in the
cluster, and after the change, nodes A, D and E are responsible for storing the
partition. All read and write operations that were initiated before the layout
change, or by nodes that were not yet aware of the new layout version, will be
directed to nodes A, B and C, and will be handled by a quorum of two nodes among
those three. However, once the new layout is introduced in the cluster, read
and write operations will start being directed to nodes A, D and E, expecting a
quorum of two nodes among this new set of three nodes.
Crucially, coordinating when operations start being directed to the new layout
is a hard problem, and in all cases we must assume that due to some network
asynchrony, there can still be some nodes that keep sending requests to nodes
A, B and C for a long time even after everyone else is aware of the new layout.
Moreover, data will be progressively moved from nodes B and C to nodes D and E,
which can take a long time depending on the quantity of data. This creates a
period of uncertainty as to where exactly the data is stored in the cluster.
Overall, this basically means that this simplistic scheme gives us no way to
guarantee the intersection-of-quorums property, which is necessary for
read-after-write.
Concretely, here is a very simple scenario in which read-after-write is broken:
1. A write operation is directed to nodes A, B and C (the old layout), and
receives OK responses from nodes B and C, forming a quorum, so the write
completes successfully. The written data then arrives to node A as well.
2. The new layout version is introduced in the cluster.
3. Before nodes D and E have had the chance to retrieve the data that was
stored on nodes B and C, a read operation for the same key is directed to
nodes A, D and E. D and E both return an OK response with no data (a null
value), because they is not yet up-to-date. An answer from node A is not
received in time. The two responses from nodes D and E, that contain no
data, still form a quorum, so the read returns a null value instead of the
value that was written before, even though the write operation reported a
success.
### Evidencing the issue with Jepsen testing
The first thing that I had to do for the NLnet project was to develop a testing
framework to show that read-after-write consistency issues could in fact arise
in Garage when the cluster layout was updated. To make such tests, I chose to
use the [Jepsen](https://jepsen.io/) testing framework, which helps us put
distributed software in complex adverse scenarios and verify whether they
respect some claimed consistency guarantees or not.
I will not enter into too much detail on the testing procedure, but suffice to
say that issues were found. More precisely, I was able to show that Garage
*did* guarantee read-after-write in a variety of adverse scenarios such as
network partitions, node crashes and clock scrambling, but that it was unable
to do so as soon as regular layout updates were introduced.
The progress of the Jepsen testing work is tracked in [PR
#544](https://git.deuxfleurs.fr/Deuxfleurs/garage/pulls/544)
## Fixing read-after-write consistency when layouts change
To solve this issue, we will have to keep track of several pieces of
information in the cluster. We will also have to adapt our read/write quorums
and our data transfer strategy during rebalancing to make sure that data can be
found when it is requested.
First of all, we adapted Garage's code to be able to handle *several versions
of the cluster layout* that can be live in the cluster at the same time, to
keep track of multiple possible locations for data that is currently being
transferred between nodes. When multiple cluster layout versions are live,
write operations are directed to all of the nodes responsible for storing the
data in all the live versions. This ensures that the nodes in the oldest live
layout version always have an up-to-date view of the data, and that a read
quorum among those nodes is always a safe way to ensure read-after-write
consistency.
Nodes will progressively synchronize data so that the nodes in the newest live
layout version will catch up with data stored by nodes in the older live layout
version. Once nodes in the newer layout versions also have an up-to-date view
of the data, read operations will progressively start using a quorum of nodes
in the new layout version instead of the old one.
Once all nodes are reading from newer layout versions, the oldest live versions
can be pruned. This means that writes will stop being directed to those nodes,
and the nodes will delete the data they were storing. Obviously, in the (very
common) case where some nodes are both in the old and new layout versions,
those nodes will not delete their data and they will continue to receive
writes.
### Performance impacts
When multiple layout versions are live, writes are sent to all nodes
responsible for the partition of the requested key in all live layout
versions, and will return OK only when they receive a quorum of OK responses
for each of the live layout versions. This means that writes could be a bit
slower when a layout change is being synchronized in the cluster. Typically if
only one node is changing between the old and the new layout version, the write
operation will await for 3 responses among 4 requests, instead of the classical
2 responses among 3 requests.
Concerning reads, they are still sent to only three nodes. Indeed, they are
sent to the nodes of the newest live layout version for which nodes have
completed a sync to catch up on existing data, and they only expect a quorum of
2 responses among the three nodes of that layout version. This way, reads
always stay as performant as when no layout change is being processed.
### Ensuring that new nodes are up-to-date
An additional coordination mechanism is necessary for the data synchronization
procedure, to ensure that it is not started too early and that after it
completes, the nodes in the new layout indeed contains an up-to-date view of
the data.
Indeed, imagine the following adverse scenario, which we want to avoid: a new
layout version is introduced in the cluster, and nodes immediately start
copying the data to the new nodes. However, some write operations that were
initiated before the new layout was introduced (or that were handled by a node
not yet aware of the layout) could be delayed, and the written data was not yet
received by the old nodes when they sent their copy of everything. When the
sync reports completion, and read operations start being directed to nodes of
the new layout, the written data might be missing from the nodes handling the
read, and read-after-write consistency could be violated.
To avoid this situation, the synchronization operation is not initiated until
all cluster nodes have reported an "acknowledge" of the new layout version,
indicating that they have received the new layout version, and that they are no
longer processing write operations that were only addressed to nodes of the
previous layout versions. This makes sure that no data will be missed by the
sync: once the sync has started, no more data can be written only to old layout
versions. All of the writes will also be directed to the new nodes. More
exactly: all data that the source nodes of the sync does not yet contain when
the sync starts, is written by a write operation that is also directed at a
quorum of nodes among the new ones. This means that at the end of the sync, a
read quorum among the new nodes will necessarily return an up-to-date copy of
all of the data.
### Details on update trackers
As you can see, the previous algorithm needs to keep track of a lot of
information in the cluster. This information is kept in three "layout update trackers",
which keep track of the following information:
- The `ack` layout tracker keeps track of nodes receiving the latest layout
versions and indicating that they are no longer processing writes addressed
only to older layout versions. Once all nodes have acknowledged a new
version, we know that all in-progress and future write operations that are
made in the cluster are directed to the nodes that were added in this layout
version as well.
- The `sync` layout tracker keeps track of nodes finishing a full metadata table
sync, that was started after all nodes `ack`'ed the new layout version.
- The `sync_ack` layout tracker keeps track of nodes receiving the `sync`
tracker update for all cluster nodes, and thus starting to direct reads to
the newly synchronized layout version. This makes it possible to know when no
more nodes are reading from an old version, at which point the corresponding
data can be deleted.
In the simplest scenario, only two layout versions are live, and these trackers
therefore can only have the values `n` (the new layout version) and `n-1` (the
old one). However this mechanism handles the general case where several
successive layout updates are being processed and more than two layout versions
are live simultaneously. The layout update trackers can take as values the
version numbers of any currently live layout version.
### What about dead nodes?
In this post I have used many times the phrases "once all nodes have
acknowledged a new layout version", or "once all nodes have completed a sync".
This obviously means that if some nodes are dead or unresponsive, the
processing of the layout update can be delayed indefinitely, and nodes in the
old layout versions will keep receiving writes and storing unnecessary data.
This is an unfortunate fact with the method proposed here. To cover for these
situations, the following workarounds can be made:
- A layout change is generally a supervised operation, meaning that a system
administrator may manually intervene to inform the cluster that certain nodes
are dead and that their layout tracker values should not be taken into
account.
- For the `sync` update tracker, we don't actually need to wait for all of the
synchronizations to terminate, quorums can be used instead as they should be
sufficient to ensure that the copied data is up-to-date.
- For the `ack` and `sync_ack` update trackers, we can automatically increase
them for all nodes (even dead ones) after a certain time delay, as there is
no reason for the changes taking more than e.g. 10 minutes to propagate in
regular conditions. We might not enable this behaviour by default, though,
due to its possible impacts on consistency.
## Current status and future work
The work described in this blog post is currently almost complete but it still
needs to be ironed out. I have made a first run of Jepsen testing on the new
code that showed that the changes seem to be fixing the issue. I will be
running longer and more intensive runs of Jepsen testing once the code is
finished, to make sure everything is fine. The changes will require a major
update of Garage: this will be the v0.10.0 release, which will probably be
finished in January or February of 2024. This update will be a very safe and
transparent update, as only the layout data structure is changed and nothing
related to object storage itself is touched.
If I had the time to do so, I would write the algorithm described in this post
in a formal way, in the form of a scientific paper. I believe such a paper
would be worthy of presenting at a scientific conference or journal, especially
given the fact that it is motivated by a very concrete use case and has been
validated quite thoroughly (with Jepsen). Unfortunately, this is not my
highest priority at the moment.
---
Written by [Alex Auvolat](https://adnab.me).

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+++
title="PhD offering to work on Garage and Distributed Systems"
date=2024-01-10
+++
*Deuxfleurs and IMT Atlantique are partnering to fund a PhD student to work on
Garage and distributed systems theory during three years. The recruitment
process is open and we are currently looking for candidates. Applications are
accepted until Jan 31, 2024. Read for details.*
<!-- more -->
---
Deuxfleurs and IMT Atlantique are partnering to fund a PhD student to work on
Garage and distributed systems theory, as part of the SEED PhD program, and we
are looking for a candidate. This is a French PhD so the program duration is 3
years, starting in September 2024, and the student is expected to already have
a master's degree or to obtain one before September 2024. The PhD will take
place mostly at IMT Atlantique in Nantes (France) within the STACK team, with a
three-month stay at Deuxfleurs and a three-month stay abroad (probably in the
US). Ideally we are looking for a candidate that already has solid Rust coding
skills and a good understanding of distributed systems theory, however both
skills can be learnt during the program. Dr. Alex Auvolat from Deuxfleurs will
be supervising the student along with Dr. Daniel Balouek from IMT Atlantique.
This is a great opportunity to improve your Rust coding skills, learn
distributed systems theory, travel to France, meet the great people behind
Deuxfleurs and, incidentally, obtain a diploma. Feel free to apply or pass the
information to anyone you know who might be interested.
- Read the [PhD topic proposal](https://www.imt-atlantique.fr/sites/default/files/recherche/doctorat/seed/research-topics/6-consensus-algorithms.html)
- For more context, also read the following blog posts:
- [Maintaining read-after-write consistency in all circumstances](@/blog/2023-12-preserving-read-after-write-consistency/index.md)
- [Thoughts on "Leaderless Consensus"](@/blog/2023-11-thoughts-on-leaderless-consensus/index.md)
- [Apply here](https://www.imt-atlantique.fr/en/research-innovation/phd/seed/application)
- Read about [the SEED PhD program](https://www.imt-atlantique.fr/en/research-innovation/phd/seed)
- Read about [the STACK team at IMT Atlantique](https://stack-research-group.gitlabpages.inria.fr/web/)
A webinar will be held on Friday, Jan 10, 2024, at 11:00 CET, to introduce
the PhD subject and the context. See details at [this
address](https://www.imt-atlantique.fr/en/research-innovation/phd/seed/events#webinars) (we are subject 6-consensus-algorithms).
The PhD topic is open for applications until Jan 31, 2024.

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+++
title="Open letter to the European Commission"
date=2024-07-14
+++
*Deuxfleurs has benefitted multiple times from European grants via the NGI project, for the developpement of Garage and Aerogramme, two pieces of software
that we have developped for the needs of our association. Today, these grants are in peril, as the European Commission wishes to finance AI projects instead.
We relay and sign an open letter from our friends at petites singularités, that asks that the NGI project be maintained, as it provides great assistance
for the development of free software and commons on the Internet.*
<!-- more -->
---
Since 2020, Next Generation Internet (NGI) programmes, part of European
Commission's Horizon programme, fund free software in Europe using a cascade
funding mechanism (see for example NLnet's calls). This year, according to the
Horizon Europe working draft detailing funding programmes for 2025, we notice
that Next Generation Internet is not mentioned any more as part of Cluster 4.
NGI programmes have shown their strength and importance to support the European
software infrastructure, as a generic funding instrument to fund digital
commons and ensure their long-term sustainability. We find this transformation
incomprehensible, moreover when NGI has proven efficient and ecomomical to
support free software as a whole, from the smallest to the most established
initiatives. This ecosystem diversity backs the strength of European
technological innovation, and maintaining the NGI initiative to provide
structural support to software projects at the heart of worldwide innovation is
key to enforce the sovereignty of a European infrastructure.
Contrary to common perception, technical innovations often originate from
European rather than North American programming communities, and are mostly
initiated by small-scaled organizations.
Previous Cluster 4 allocated 27 millions euros to:
- "Human centric Internet aligned with values and principles commonly shared in Europe" ;
- "A flourishing internet, based on common building blocks created within NGI, that enables better control of our digital life" ;
- "A structured eco-system of talented contributors driving the creation of new internet commons and the evolution of existing internet commons".
In the name of these challenges, more than 500 projects received NGI funding in
the first 5 years, backed by 18 organisations managing these European funding
consortia.
NGI contributes to a vast ecosystem, as most of its budget is allocated to fund
third parties by the means of open calls, to structure commons that cover the
whole Internet scope - from hardware to application, operating systems, digital
identities or data traffic supervision. This third-party funding is not renewed
in the current program, leaving many projects short on resources for research
and innovation in Europe.
Moreover, NGI allows exchanges and collaborations across all the Euro zone
countries as well as "widening countries"[^1], currently both a success and and an
ongoing progress, likewise the Erasmus programme before us. NGI also
contributes to opening and supporting longer relationships than strict project
funding does. It encourages to implement projects funded as pilots, backing
collaboration, identification and reuse of common elements across projects,
interoperability in identification systems and beyond, and setting up
development models that mix diverse scales and types of European funding
schemes.
While the USA, China or Russia deploy huge public and private resources to
develop software and infrastructure that massively capture private consumer
data, the EU can't afford this renunciation.
Free and open source software, as supported by NGI since 2020, is by design the
opposite of potential vectors for foreign interference. It lets us keep our
data local and favors a community-wide economy and know-how, while allowing an
international collaboration. This is all the more essential in the current
geopolitical context: the challenge of technological sovereignty is central,
and free software allows to address it while acting for peace and sovereignty
in the digital world as a whole.
*The list of all other collectives that have also signed the letter is available
at the following address: <https://pad.public.cat/lettre-NCP-NGI>.*
---
[^1]: As defined by Horizon Europe, widening Member States are Bulgaria, Croatia, Cyprus, the Czech Republic, Estonia, Greece, Hungary, Latvia, Lituania, Malta, Poland, Portugal, Romania, Slovakia and Slovenia. Widening associated countries (under condition of an association agreement) include Albania, Armenia, Bosnia, Feroe Islands, Georgia, Kosovo, Moldavia, Montenegro, Morocco, North Macedonia, Serbia, Tunisia, Turkey and Ukraine. Widening overseas regions are : Guadeloupe, French Guyana, Martinique, Reunion Island, Mayotte, Saint-Martin, The Azores, Madeira, the Canary Islands.

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2
garage

@ -1 +1 @@
Subproject commit b17d59cfabbe92c509f4888cae83f6053a8cab1e
Subproject commit 070a8ad110cb75dd2df7ddc9ecbb5c814291ac89

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with import <nixpkgs> {};
stdenv.mkDerivation {
name = "node";
buildInputs = [
nodejs
zola
];
shellHook = ''
export PATH="$PWD/node_modules/.bin/:$PATH"
function build {
rm -r content/documentation static/api
cp -rv garage/doc/book content/documentation
cp -rv garage/doc/api static/api
npm install
npx tailwindcss -i ./src/input.css -o ./static/style.css --minify
zola build -u https://garagehq.deuxfleurs.fr
}
'';
}

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{
"name": "",
"short_name": "",
"name": "Garage",
"short_name": "Garage",
"icons": [
{
"src": "/android-chrome-192x192.png",
@ -15,5 +15,5 @@
],
"theme_color": "#ffffff",
"background_color": "#ffffff",
"display": "standalone"
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}

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@ -12,6 +12,7 @@ Downloads | {{ config.title }}
<div class="h-8 w-8 bg-gradient-to-bl from-gray-50 via-gray-50 to-gray-100 -rotate-45 transform origin-top-left shadow"></div>
</div>
</div>
<div class="mx-auto max-w-7xl px-4">
<div id="releases-container" class="py-24 space-y-20">
<div id="docker-images" class="space-y-4">
@ -94,8 +95,6 @@ Downloads | {{ config.title }}
let extraBuilds = data[1].builds;
let developmentBuilds = data[2].builds;
console.log(extraBuilds)
/** Release Builds */
for (i = 0; i < releaseBuilds.length; i++) {
window['build' + i] =
@ -109,7 +108,7 @@ Downloads | {{ config.title }}
<div id="release-builds-detail-${i}" class="flex flex-col md:flex-row items-start md:items-center space-x-0 md:space-x-2 space-y-2 md:space-y-0"></div>
<span class="inline-block mt-4 text-sm mb-1 uppercase text-gray-600">Sources</span>
<div id="release-builds-source-${i}" class="flex items-center space-x-2">
<a href="https://git.deuxfleurs.fr/Deuxfleurs/garage/src/tag/${releaseBuilds[i]['version']}" class="inline-block p-1.5 text-garage-gray font-bold bg-gray-300 hover:bg-orange-300 rounded border-b-2 border-gray-400 hover:border-orange-400 transition-all duration-300">
<a href="https://git.deuxfleurs.fr/Deuxfleurs/garage/src/tag/${releaseBuilds[i]['version']}" download class="inline-block p-1.5 text-garage-gray font-bold bg-gray-300 hover:bg-orange-300 rounded border-b-2 border-gray-400 hover:border-orange-400 transition-all duration-300">
<span>Gitea</span>
</a>
<a href="https://git.deuxfleurs.fr/Deuxfleurs/garage/archive/${releaseBuilds[i]['version']}.zip" class="inline-block p-1.5 text-garage-gray font-bold bg-gray-300 hover:bg-orange-300 rounded border-b-2 border-gray-400 hover:border-orange-400 transition-all duration-300">
@ -127,7 +126,7 @@ Downloads | {{ config.title }}
for (j = 0; j < releaseBuilds[i]['builds'].length; j++) {
window['buildDetail' + i] =
`
<a href="${releaseBuilds[i]['builds'][j]['url']}" class="inline-block p-1.5 text-garage-gray font-bold bg-gray-300 hover:bg-orange-300 rounded border-b-2 border-gray-400 hover:border-orange-400 transition-all duration-300">
<a href="${releaseBuilds[i]['builds'][j]['url']}" download class="inline-block p-1.5 text-garage-gray font-bold bg-gray-300 hover:bg-orange-300 rounded border-b-2 border-gray-400 hover:border-orange-400 transition-all duration-300">
<span>
${releaseBuilds[i]['builds'][j]['platform']
.replace('aarch64-unknown-linux-musl', 'linux/arm64')
@ -154,7 +153,7 @@ Downloads | {{ config.title }}
<div id="extra-builds-detail-${i}" class="flex flex-col md:flex-row items-start md:items-center space-x-0 md:space-x-2 space-y-2 md:space-y-0"></div>
<span class="inline-block mt-4 text-sm mb-1 uppercase text-gray-600">Sources</span>
<div id="extra-builds-source-${i}" class="flex items-center pt-4 space-x-2">
<a href="https://git.deuxfleurs.fr/Deuxfleurs/garage/src/tag/${extraBuilds[i]['version']}" class="inline-block p-1.5 text-garage-gray font-bold bg-gray-300 hover:bg-orange-300 rounded border-b-2 border-gray-400 hover:border-orange-400 transition-all duration-300">
<a href="https://git.deuxfleurs.fr/Deuxfleurs/garage/src/tag/${extraBuilds[i]['version']}" download class="inline-block p-1.5 text-garage-gray font-bold bg-gray-300 hover:bg-orange-300 rounded border-b-2 border-gray-400 hover:border-orange-400 transition-all duration-300">
<span>Gitea</span>
</a>
<a href="https://git.deuxfleurs.fr/Deuxfleurs/garage/archive/${extraBuilds[i]['version']}.zip" class="inline-block p-1.5 text-garage-gray font-bold bg-gray-300 hover:bg-orange-300 rounded border-b-2 border-gray-400 hover:border-orange-400 transition-all duration-300">
@ -172,7 +171,7 @@ Downloads | {{ config.title }}
for (j = 0; j < extraBuilds[i]['builds'].length; j++) {
window['buildDetail' + i] =
`
<a href="${extraBuilds[i]['builds'][j]['url']}" class="inline-block p-1.5 text-garage-gray font-bold bg-gray-300 hover:bg-orange-300 rounded border-b-2 border-gray-400 hover:border-orange-400 transition-all duration-300">
<a href="${extraBuilds[i]['builds'][j]['url']}" download class="inline-block p-1.5 text-garage-gray font-bold bg-gray-300 hover:bg-orange-300 rounded border-b-2 border-gray-400 hover:border-orange-400 transition-all duration-300">
<span>
${extraBuilds[i]['builds'][j]['platform']
.replace('aarch64-unknown-linux-musl', 'linux/arm64')
@ -199,7 +198,7 @@ Downloads | {{ config.title }}
<div id="development-builds-detail-${i}" class="flex flex-col md:flex-row items-start md:items-center space-x-0 md:space-x-2 space-y-2 md:space-y-0"></div>
<span class="inline-block mt-4 text-sm mb-1 uppercase text-gray-600">Sources</span>
<div id="development-builds-source-${i}" class="flex items-center pt-4 space-x-2">
<a href="https://git.deuxfleurs.fr/Deuxfleurs/garage/src/tag/${developmentBuilds[i]['version']}" class="inline-block p-1.5 text-garage-gray font-bold bg-gray-300 hover:bg-orange-300 rounded border-b-2 border-gray-400 hover:border-orange-400 transition-all duration-300">
<a href="https://git.deuxfleurs.fr/Deuxfleurs/garage/src/tag/${developmentBuilds[i]['version']}" download class="inline-block p-1.5 text-garage-gray font-bold bg-gray-300 hover:bg-orange-300 rounded border-b-2 border-gray-400 hover:border-orange-400 transition-all duration-300">
<span>Gitea</span>
</a>
<a href="https://git.deuxfleurs.fr/Deuxfleurs/garage/archive/${developmentBuilds[i]['version']}.zip" class="inline-block p-1.5 text-garage-gray font-bold bg-gray-300 hover:bg-orange-300 rounded border-b-2 border-gray-400 hover:border-orange-400 transition-all duration-300">
@ -217,7 +216,7 @@ Downloads | {{ config.title }}
for (j = 0; j < developmentBuilds[i]['builds'].length; j++) {
window['buildDetail' + i] =
`
<a href="${developmentBuilds[i]['builds'][j]['url']}" class="inline-block p-1.5 text-garage-gray font-bold bg-gray-300 hover:bg-orange-300 rounded border-b-2 border-gray-400 hover:border-orange-400 transition-all duration-300">
<a href="${developmentBuilds[i]['builds'][j]['url']}" download class="inline-block p-1.5 text-garage-gray font-bold bg-gray-300 hover:bg-orange-300 rounded border-b-2 border-gray-400 hover:border-orange-400 transition-all duration-300">
<span>
${developmentBuilds[i]['builds'][j]['platform']
.replace('aarch64-unknown-linux-musl', 'linux/arm64')

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@ -28,6 +28,7 @@
<span class="inline text-sm md:text-base">Get Started</span>
</a>
</div>
<div class="max-w-7xl mx-auto grid grid-cols-1 md:grid-cols-3 gap-x-32 py-12">
<a href="{{config.base_url}}/documentation/connect/websites/" class="group flex flex-col items-center justify-center p-2">
<img src="{{ get_url(path='images/host.png') }}" class="transform group-hover:translate-y-2 transition duration-500">
@ -216,15 +217,28 @@
<div class="w-full flex flex-col items-center justify-center shadow-inner">
<div class="px-8 py-24 space-y-8 text-garage-gray max-w-4xl mx-auto">
<h2 class="text-2xl text-garage-orange font-semibold">Sponsors and funding</h2>
<p>The <a class="text-garage-orange underline" href="https://deuxfleurs.fr/" target="_blank">Deuxfleurs association</a>
has received a grant from <a class="text-garage-orange underline" href="https://pointer.ngi.eu/" target="_blank">NGI POINTER</a>,
to fund 3 people working on Garage full-time for a year : from October 2021 to September 2022.</p>
<p>If you want to fund Garage development past its initial grant,
<p>Garage has received funding from <a class="text-garage-orange underline" href="https://pointer.ngi.eu/" target="_blank">NGI POINTER</a> (3 full-time employees for one year, in 2021-2022),
and from <a class="text-garage-orange underline" href="https://nlnet.nl/entrust/" target="_blank">NLnet / NGI0 Entrust</a> (1 full-time employee for one year, in 2023-2024).
</p>
<p>If you want to participate in funding Garage development,
either through donation or support contract,
please <a class="text-garage-orange underline" href="mailto:{{config.extra.social.email}}">get in touch with us</a></p>
please <a class="text-garage-orange underline" href="mailto:{{config.extra.social.email}}">get in touch with us</a>.
</p>
<p>
<img src="{{ get_url(path='images/ngi-pointer-eu.png') }}" class="w-2/3 mx-auto" alt="NGI Pointers">
</p>
<p class="flex flex-row justify-around">
<img src="{{ get_url(path='images/nlnet.svg') }}" class="w-1/3" alt="NLnet logo">
<img src="{{ get_url(path='images/NGI0Entrust_tag.svg') }}" class="w-1/3" alt="NGI0 Entrust logo">
</p>
<p class="italic">This project has received funding from the European Union's Horizon 2021 research and innovation programme
within the framework of the NGI-POINTER Project funded under grant agreement N° 871528.</p>
<p class="italic">This project has received funding from the NGI0
Entrust Fund, a fund established by NLnet with financial support from the
European Commission's Next Generation Internet programme, under the aegis of DG
Communications Networks, Content and Technology under grant agreement No
101069594.
</p>
</div>
</div>

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@ -0,0 +1,14 @@
<div class="max-w-4xl mx-auto">
<div class="bg-teal-100 border-t-4 border-teal-500 rounded-b text-teal-900 px-4 py-3 shadow-md" role="alert">
<div class="flex">
<div class="py-1"><svg class="fill-current h-6 w-6 text-teal-500 mr-4" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 20 20"><path d="M2.93 17.07A10 10 0 1 1 17.07 2.93 10 10 0 0 1 2.93 17.07zm12.73-1.41A8 8 0 1 0 4.34 4.34a8 8 0 0 0 11.32 11.32zM9 11V9h2v6H9v-4zm0-6h2v2H9V5z"/></svg></div>
<div>
<p class="font-bold">Garage pre-1.0 community survey</p>
<p class="text-sm"> As part of our plans for the release of Garage v1.0, we are launching a survey to gather feedback from Garage users and potential users on all fronts, in order to improve Garage's reliability, user experience, and suitability for various application domains.</p>
<p>
<a href="https://pad.deuxfleurs.fr/form/#/2/form/view/bGZkUeZ5wxOuTSlP3nRJeTbCQlwdqUpF3ggN6vGqRds/" class="text-garage-orange font-bold hover:underline">Answer the survey here</a>
</p>
</div>
</div>
</div>
</div>

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