I taught a bucket to speak Git

A developer taught a Tigris object storage bucket to act as a Git server by leveraging the go-git library's filesystem abstraction, billy. The experiment demonstrates that Git's content-addressed objects are a natural fit for append-only object storage, potentially enabling stateless, decentralized Git hosting without single points of failure.

Blog /blog/ / build with tigris /blog/tags/build-with-tigris/ I taught a bucket to speak git What happens if I just point a git server at an object storage bucket? Back when I was porting agent sandboxes to Go https://www.tigrisdata.com/blog/agent-sandbox-go/ , I built everything on top of billy https://pkg.go.dev/github.com/go-git/go-billy/v6 , a filesystem abstraction for Go. The whole trick of the project was teaching a Tigris bucket to act enough like a filesystem that a shell interpreter and its tools couldn’t tell the difference. Billy was the key layer that made the entire façade fall into place. After I had gotten things working, I learned that I’m using billy way outside its normal usecase. It was originally made for go-git https://pkg.go.dev/github.com/go-git/go-git/v6 , a pure-Go implementation of git’s protocols and data formats. It doesn’t rely on the /usr/bin/git binary existing at all. Every method on billy’s filesystem interface exists purely because go-git needs it. This gave me a terrible idea: I already have a bucket that can quack like a filesystem and go-git’s native language is “filesystem”. Can this Just Work™? Let's find out. Git was always an object store If you strip away the porcelain, a git repository is 4 basic things: - Objects, or compressed blobs of data. Most of the objects in any individual repository are files. - Trees, or objects that map to other objects. TL;DR: trees are folders. - Commits, or objects that point at one tree and their parent commit. This lets you pin down which files belong to one logical change set. - Refs, branches and tags, they are tiny mutable pointers into the pile of objects. Until I started working on this I was under the impression that git stored only the patches done to an empty folder and that was how it reconstructed the history of your repository. It does not. It actually keeps track of the entire files, which explains why big binary blobs fudge the tooling so much. The diff mental model works fine for using git day to day; it’s just wrong at the storage layer, which is the layer this post lives in. For example, let’s say I just made a new git repository and committed a README.md to it. The tree for the .git folder looks something like this: bash $ tree .git.git├── COMMIT EDITMSG├── config├── HEAD├── index├── objects│ ├── 5e│ │ └── b8151eb669aa4467b6dea2c4bce19183cd0b41│ ├── 6a│ │ └── 6a8ecfcae2632152486aca3d9150ef83dedd66│ ├── f4│ │ └── d2487a1c6d742c8037c0296ddf80625190bd80│ ├── info│ └── pack└── refs ├── heads │ └── main └── tags As you can see there are three objects. One of them is the commit 5eb8151eb669aa4467b6dea2c4bce19183cd0b41 , the next is the tree, and the last one is the README file. The main branch also points to that commit: bash $ cat .git/refs/heads/main5eb8151eb669aa4467b6dea2c4bce19183cd0b41 The cool part is that half of this is content-addressed. The content-addressed bits never change once they’ve been committed. Git objects are a great fit for Tigris’ internal model because they are append-only storage, just like the fundamental model Tigris is built upon https://www.tigrisdata.com/blog/append-only-storage/ . The things that do change often are the refs, which are updated to point to the latest commit. These are tiny files though, which means that Tigris can handle them with no effort required. However, when we host git repositories on a server, we end up creating single points of failure. Our git repos are hosted on single machines that can and will break. The entire implementation relies on git objects being 1:1 correlated with filesystem objects because everyone even GitHub shells out to the git binary to actually store files. Hosting git repos becomes one of the most stateful services in our stateless cloud-native environment. Sure git is in-theory decentralized, but most of us have ended up using that to put our git repositories in one big store that has questionable uptime practices: GitHub. To be fair to hubbers, GitHub operates at a scale that none of us can really think about. They’ve been pushing the limits since their inception where they had to get Engine Yard to keep building them bigger servers to handle the load. They have to do everything with a big mounted filesystem because git’s tooling gives them no other option. A travesty of horrors beyond human comprehension Now suppose this weirdness bothers you enough to do something about it. To build a git server without storing everything in the local filesystem, you have to speak git somehow, and the conventional options aren’t really all that great: - If you shell out to the git binary, now your “library” is the argv of the git process and your error handling is screen-scraping output. Internally, git implements its functionality with a billionty subcommands rather than exposing it all as a library. The codebase is held together by load-bearing calls to die , which kills the process. - If you link into git’s guts with libgit , you inherit the “when things go bad, die ” behaviour and your app now suddenly starts crashing at random. This is not good for uptime. - If you try to use libgit2 the rewrite-that’s-actually-a-library , you have to reckon with the fact that it’s addled by the GPL with a linking exception, try explaining that to your lawyers , you have to eat the jump to C every time you do anything with git very often , development has stalled, the Go bindings have been archived, and it still assumes a local filesystem despite assurances it does not. It might sound hopeless, right? You may be able to use WebAssembly or something to contain the madness assuming you have a good way to implement fork / exec or posix spawn or something similar , but what if there was a pure Go library that could handle this all for us? Enter go-git https://pkg.go.dev/github.com/go-git/go-git/v6 , a pure-go implementation of the git protocol and internals from scratch. This doesn’t rely on cgo or /usr/bin/git and it does not assume the repositories are stored in the local filesystem. Its storage interface is written against billy, the exact interface I’ve already taught to speak Tigris. I wanted a git server that was just in a bucket and the pieces were sitting there and calling to me. Oh no, it works So I hacked up objgit https://github.com/tigrisdata/objgit , a git server backed by object storage. The only filesystem call I had to add to get it booting was MkdirAll . I wired up the transport https://pkg.go.dev/github.com/go-git/go-git/v6/plumbing/transport package to a socket to implement the plaintext git protocol, hooked it up to a bucket, and pushed the repo I was currently working on.To my absolute astonishment, it worked. Git pushed, pulled, logged, blamed, tagged, the whole kit and kaboodle. I didn’t have to implement git myself, I just committed an egregious amount of shoving a square peg into a round hole until the peg went in. In hindsight this makes an annoying amount of sense. A bare repo is those four kinds of things on a filesystem; swap the filesystem for object storage and everything else Just Working™ is perfectly logical. Git’s on-disk format is its database schema and if you fake open/stat/rename convincingly enough the entire façade keeps working because APIs are the lies we tell ourselves to make us sleep at night. After a lot of hacking, I ended up with a feature list kinda like this: - Push and pull over three transports: HTTP, classic git:// , and SSH - Repositories upserted on first push - Absolutely no effort put into authentication as this is an experiment and authentication is annoying and complicated - Prometheus metrics so I could optimize the filesystem layer Everything comes out of one Go binary with no local state, even the generated SSH keys are stored in the bucket. You can run this in a Kubernetes cluster with only the mutable storage required being temporary files for an optimistic cache when doing smart git clones. The rest of this post is what it took to get from “oh no, it works” to something close to usable. Obligatory disclaimer like the best things in life : this is an experiment. It has not been tested thoroughly or vetted for correctness. If it breaks in half, you get to keep both pieces. Please do not move your company’s monorepo onto this and then email me when it catches fire. That one POSIX idiom that survived Git is paranoid about durability, and its entire strategy is one Unix idiom that you end up seeing many places: write new data to a temporary file and then rename 2 it into place after you’ve assured it’s correct. POSIX guarantees that rename is atomic, so readers either see the old file or the new one, not an intermediate state inbetwixt the two. Packfiles bundles of objects land as temporary files when uploaded then moved to their permanent home. Refs are written as locked temporary files and then renamed over the ref. It’s rename all the way down. Object storage traditionally does not have rename as one atomic operation. S3’s answer is to create exactly that intermediate state: CopyObject to the new place and DeleteObject on the old one. This makes the most load-bearing idiom in Git’s philosophy fall to pieces. Luckily, Tigris has an extension for this: RenameObject https://www.tigrisdata.com/docs/objects/object-rename . To use it, pass an additional X-Tigris-Rename: true header to a CopyObject call and instead of copying then deleting on the client, it moves the metadata around on the server. One round trip, no data movement, and the Unix idiom maps on the bucket 1:1. Objgit’s implementation of Rename is trivial: // internal/s3fs/basic.go// RenameObject is a Tigris extension that renames in place no data copy ,// so we don't need a separate CopyObject + DeleteObject.copySource := fs3.bucket + "/" + src , err := fs3.client.RenameObject ctx, &s3.CopyObjectInput{ Bucket: &fs3.bucket, CopySource: &copySource, Key: &dst,} A second, sneakier violation hides in the same codepath. When go-git writes a temporary file, it creates that temporary file and then immediately starts opening it for reading so it can build the pack index. You cannot do that with a single live object in any object storage system, you are either reading or writing, never both. I ended up working around this by cheating a bit and buffering the contents of newly written pack files into memory so that this game of chicken kept working. I may have to change this to write that pack cache to the filesystem as trying to push gcc.git made me run out of RAM. At the very least, everything lies consistently enough that git doesn’t care, so win Death by a thousand stat calls With this correctness sorted, I tried pushing the golang/go https://github.com/golang/go repository to objgit to see how long it would take. It did work, but it took forever . Using the prometheus metrics I mentioned before, I saw that it was making biblical amounts of HeadObject calls. Some blocking profile analysis pointed to the fact that the git library was using the stat call to detect if a file exists. The flow was like: - Client has object x - Check if object x exists - Check if any pack has object x And so on ad infinitum. This is fine-ish on a local filesystem because those syscalls resolve in microseconds , not the tens of milliseconds it takes to get from my office to the nearest Tigris region please expand to Ottawa, I would love that so much . This was compounded with a discovery that the transport I was using SSH — classic git:// shares the same code path was exploding every packfile into loose objects when pushing it. Each loose object write was costing two round trips: stat to check if a file exists and then open / write to actually put the data into Tigris. This made a 100,000 object packfile cost 200,000 object storage calls. Call it 10ms of latency for each one, and that’s over half an hour of waiting for responses that mostly say “404 not found”. Caching can’t really save you here either, read caches would absorb the repeated reads; but this is a firehose of writes to 100,000 paths that probably have never been read and likely will never be seen again. The reason only two transports had this problem is a deadlock story. The git library's fast path stores an incoming pack whole through its PackfileWriter , by copying from the connection until io.EOF . Over HTTP that's fine: the request body ends, EOF arrives, everyone goes home. Over git:// and SSH, the connection is a persistent socket and the client is holding it open, politely waiting for the server's status report. EOF never comes. The copy waits forever, the client waits forever, and you have invented a distributed deadlock with two participants. The original workaround was to hide the PackfileWriter capability on those transports so go-git fell back to its streaming parser that writes every object loose. Hence the stat storm. So the solution was to stop depending on EOF at all. Packfiles are self-delimiting: the header says how many objects are coming and a trailing checksum marks the end, so a packfile scanner walks the stream and stops at the trailer while a TeeReader mirrors exactly those bytes into the PackfileWriter . This makes the rest of the façade fall into place and the git library is happy. This made pushes into two uploads: a packfile and its index instead of a torrent of round trips that mean nothing. What about cloning? Once I got pushing fixed, I moved on to the read path. In order to emulate ReadAt , I used ranged GetObject requests so that the git library could read individual objects out of packfiles. I was happy with this hack, but there was one problem: the latency curse struck again. Cloning a simple repo with 318 objects and a 200KiB packfile made over 8,500 GetObject calls before I killed it. A git client cloning a repository reads repository packfiles thousands of times with random access, walking objects and candidate delta bases over and over. On a local disk you never notice because your page cache eats that for breakfast. When every call is an HTTP request, a 200KiB repo turns into dozens of megabytes of round trips. A 20MiB repo was effectively unservable. In other words, I had un-cached the one workload that caching was designed to solve. The fix leans on a gift from git: pack files are immutable and content-addressed. pack-<sha .pack will never change for as long as it exists. This makes them trivially cacheable to a faster local medium, such as the filesystem. No invalidation logic is required. I made objgit download packs to a local temporary folder and serve reads from there. To be on the safe side, I did add least-recently-used caching to the mix so that my temp folder wouldn’t blow up unexpectedly. This does mean that the first request for pack files is slower, but then everything else is at filesystem speed. Yes, this relies on the local disk again, but only as a cache that can and will be thrown away. I think trading a stateless ideal for clones that terminate in reasonable amounts of time is a worthwhile bargain. Why so ListObjectsV2 , Batman? Once the other disasters were out of the way, one more remained: the metrics showed a flood of ListObjectsV2 calls every time a clone was made and didn’t stop making those calls after it was done. Two things compounded. First, when git looks up an object that isn't packed, it probes for a loose object at objects/<xx /<rest-of-hash . objgit keeps packs whole, so there are no loose objects, so every probe misses, and each miss across a distinct two-hex prefix triggered a directory listing to find out. There are 256 possible prefixes. A single clone could issue up to 256 ListObjectsV2 calls whose collective answer was a resounding "there is nothing here." Second and more embarrassing , the listing cache already had an optimization for this. It collapsed entire subtree lookups into recursive scans so a single listing of the repository could answer every stat and probe beneath it. It was completely dead in production. The cache matched recursive prefixes against the repo root refs/ , but every repo is chrooted to its own directory, so real keys look like myrepo.git/refs/heads/main . The prefix check wasn’t aware of chroots so it never actually matched anything. Nobody noticed because a cache that degrades to “no caching” still returns the correct answer, just slowly. To rub it in, a cache warmer was dutifully re-listing every one of those useless prefixes every 30 seconds for 10 minutes after each clone. Thousands of background list calls were burned in the service of caching nothing of use. The fix was insultingly small: when a repo’s filesystem gets chrooted, register that chroot as a recursive subtree root within the cache. This made the cache actually useful and resulted in only one ListObjectsV2 call instead of hundreds. Every sufficiently advanced cache is indistinguishable from a no-op until someone graphs the miss rate. None of these disasters were exotic. They’re the things filesystems and kernels give you for free — and every perfectly reasonable disk assumption fell to pieces once a network round trip sat at the core. Serving Git repositories is an accidental filesystem latency benchmark. If your storage abstraction has a weak point, Git will find it and the metrics will show you where that problem is. Post-receive hooks go in clown jail One of the most useful parts of hosting your own git server is setting up post-receive hooks. These have been used since time immemorial for things like automatic deployments https://gist.github.com/nonbeing/f3441c96d8577a734fa240039b7113db when you push code to the server. The heart of this is how we get systems like GitHub Actions: it’s code that runs when you are done pushing. When you push to objgit with --allow-hooks enabled, it looks for a post-receive hook in .objgit/hooks/receive-pack this corresponds to the git plumbing action, the name can and will be changed in the tree of the commit you just pushed. It will then spin up a kefka https://xeiaso.net/blog/2026/dancing-mad-sandboxing/ sandbox with a checkout of the git repository at the commit you just pushed mounted at /src and mutable temporary files at /tmp . It gets coreutils and nothing else. No host filesystem, no network, no arbitrary binaries. Output streams back into the pusher as remote: lines just like when you git push heroku main . Eventually I want to make custom commands to allow you to deploy Tekton https://tekton.dev/ pipeline changes and kick off CI jobs that way, but for now I’m happy with this working at all. You can’t implement policy using these hooks yet. I’m working on it. Now what? I taught a bucket to speak git. Where this goes next, roughly in order of how much the ideas keep me up at night. CI is the obvious next step. I would wire up commands for things like “apply kubernetes object” and “create tekton pipeline run” so that CI would run via your friendly neighborhood Kubernetes cluster and then notify you through some reasonable mechanism. That’s the first thing I’ll build when I have the time. It would be nice to have a web UI for this, which is complicated for reasons that have nothing to do with git trees, object storage, or anything else and everything to do with the current state of the internet. Git lookups are expensive in the best cases and with the current torrent of unethical scraping ransacking git servers for every scrap of RAM they have, it’s probably a bad idea to implement this without a lot of clever optimizations. Maybe the fact that this doesn’t have load-bearing dependencies on /usr/bin/git would make it more resilient against scrapers. The fact that this is based on object storage could also mean that caching would be a bit easier having basically unlimited storage is kind of a low-key superpower for caching , but then the main issue would be server load. It’s a tough cookie to handle. Performance and stability are another place this needs to improve. I’ve tested this on my developer workstation but that is far different from testing it in production. There’s some other performance issues that are easy to fix, but the big one is latency to Tigris. Maybe I can get the devops team to set me up a k3k cluster https://rancher.github.io/k3k-product-docs/k3k/latest/en/introduction.html in production. Right now this is an experiment as I plug along and feel out the shape of what git-on-object-storage can be. A git server with no disk, no git binary, and no database. If you want to take a look, check it out on GitHub https://github.com/tigrisdata/objgit . objgit is a single-binary git server that stores repositories directly in Tigris — no disk, no git binary, no database. Point it at a bucket and push.