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* fix(replication): close GA blockers from backlog#2366 Implements the P1 set from the pre-GA replication audit: - Replication rule tag filters now require every And.Tag to match, replacing the s3s OR semantics with a local AND matcher that fails closed on a malformed tag. - A replicated group membership change no longer writes the group status, so a membership update carrying the default Enabled status cannot silently re-enable a disabled group on the peer. - A successful IAM import schedules one collapsed full-IAM snapshot per remote peer instead of leaving the imported entities local-only. - A pending endpoint refresh is redriven by the heavyweight reconcile tick, carries its own ilm-expiry override, and no longer blocks a remove that drops every unacknowledged peer. - Site metrics expose local replication failure totals and rolling windows; node-level counters no longer report a constructed zero. - set/remove-remote-target notify peer metadata caches before returning, so a follow-up put-bucket-replication on another node sees the target. - Adds the site-replication operations runbook, a docs index, a replication support boundary section, and the Replication changelog section. * fix(site-replication): resume only a locally driven endpoint refresh The peer-side edit handler journals a pending endpoint refresh with an empty `remote_peers` map and commits it inside the same request through `apply_internal_peer_edit`. The reconcile tick could not tell that journal from the coordinator's own: with no required peers it reads as complete on sight, so the tick committed it with `edit_state` - losing the local-name sync - and cleared it under the request that owned it, whose commit then reported the refresh as changed and denied the coordinator the peer acknowledgement it was waiting for. Resume now runs only for a journal that carries the fan-out topology. A receiver's journal stays for the coordinator to redrive with the same refresh id, which is the path that already recovers it. * fix(site-replication): keep an explicit disabled group status on a snapshot Skipping the group-status write whenever an item carries members stopped a membership change from re-enabling a disabled group, but it also silenced the full-IAM snapshot, which always sends members together with the sender's real status. A peer that did not have the group yet created it through `GroupInfo::new` - enabled - so a bootstrap, a repair, or the snapshot an IAM import now schedules handed every member of a frozen group live access there. The madmin wire maps an unset `groupStatus` to Enabled, so only Enabled can be a default. Disabled is always explicit and is applied again. * fix(site-replication): schedule the import snapshot without recording a failure `import-iam` reused the failure-recording path to queue its full-IAM snapshot. That raises `retry_count` on every call, so three imports - the normal shape of a bulk migration done one archive at a time - escalated a healthy peer to `retryStats.failed` with the scheduling note shown as `lastError`, which is exactly the signal the runbook tells operators to repair. A full retry queue also turned a completed import into a 503. Scheduling now only ensures the collapsed entry exists, and a failure to schedule is logged instead of failing the request: the entities are already imported and the reconcile pass still closes the gap. * fix(admin): stop reporting replication failures as retries `retries` is the minio-go counter for redeliveries, and mc prints it as such. Filling it with the failure count claimed a redelivery that never happens: a failed object is not retried by an event today, it waits for the scanner heal pass. `errors` keeps the failure counters; `retries` stays zero until there is a real redelivery to count, and the runbook now says so. * perf(site-replication): aggregate failure windows without cloning bucket stats `site_metrics_snapshot` went through `get_all`, which clones every bucket's stats, and then scanned each target's sample deque twice. That deque is bounded only by the one-hour window, so an unreachable target under load - the case an operator polls this endpoint for - made every `mc admin replicate status` copy the whole backlog and hold the read lock against the failure path while doing it. It now folds under the read lock and takes both windows in one walk. The `max` against the serialized `last_minute` / `last_hour` snapshots is dropped: those are stamped onto per-bucket clones elsewhere and are always zero in this node-local cache. * fix(site-replication): reject a conflicting ilm-expiry override on a re-run The commit now reads the ilm-expiry override back out of the pending refresh journal, so a second edit that asks for a different value had it dropped while the request still reported success. Re-running without the flag keeps pinning the recorded value - that is the documented way to redrive a stuck refresh - but an explicit different value is now rejected instead of ignored. * fix(admin): do not fail a remote-target write on a peer reload error set/remove-remote-target propagated the peer metadata reload error, so a target that was already persisted and live on this node reported a 5xx to the client whenever one peer could not be reached. Every S3 bucket-config write path treats that reload as best effort and only warns; these two admin handlers now do the same, and the reason is logged with the bucket and action. * fix(site-replication): undo every bucket a cut-short refresh rewrote When a remove accepted on another node clears the refresh journal mid-pass, only the bucket holding the lock at that moment had its restored target undone. The buckets rewritten earlier in the same pass kept a target pointing at the removed peer whenever the remove's own cleanup had already walked past them. The undo now covers every bucket this pass rewrote, attempting all of them so one failure does not strand the rest. * fix(site-replication): keep replay running while an endpoint refresh is pending A pending endpoint refresh took the whole heavyweight pass with it, so a peer that never came back froze IAM and bucket replay to every healthy peer too - the stall this journal's resume path was meant to end. The refresh arm now drains the retry queue before returning; it replays per-peer deliveries against the endpoints currently committed in state, so it is unaffected by the edit in flight. Bucket wiring reconciliation still waits, because it rewrites the very targets the refresh is changing, and the runbook now says so. * test(e2e): cover the AND semantics of a two-tag replication filter The acceptance matrix only had a single-tag rule, which matches under both AND and OR semantics and therefore proved nothing about the filter this fix changed. It now also carries a two-tag `And` rule - the shape `mc replicate add --tags "k1=v1&k2=v2"` writes - and asserts that an object with one of the two tags is not admitted while an object with both is. No new test function, so the nightly selection digest is unchanged. * refactor(site-replication): fold the refresh state-change error into one constructor The endpoint-refresh work added three `s3_error!` invocation lines, which the s3s footprint ratchet is meant to prevent. Five copies of the same concurrent-change error now share one constructor, so the surface nets one line smaller than main; the baseline is retightened to match. * fix(site-replication): report a peer whose IAM snapshot waits for a repair An escalated snapshot entry records a deletion a snapshot cannot replay, so only a repair settles it and the marker must survive. Scheduling an import snapshot therefore leaves that peer's entry alone - and now says so, instead of returning success while nothing was scheduled for it. * docs(operations): state the group-status and escalation convergence limits Two boundaries the fixes in this branch make load-bearing: a membership change never carries an enable, so a group disabled on one site only has to be re-enabled there explicitly; and a peer holding an escalated IAM entry does not receive a scheduled snapshot, including the one a bulk import schedules, until a repair settles it.
RustFS is a high-performance distributed object storage software built using Rust
Getting Started · Docs · Bug reports · Discussions
English | Simplified Chinese
RustFS is a high-performance distributed object storage software built using Rust, one of the most popular languages worldwide. Along with MinIO, it shares a range of advantages such as simplicity, broad S3 API compatibility for supported features, open-source nature, support for data lakes, AI, and big data. Furthermore, it has a better and more user-friendly open-source license in comparison to other storage systems, being constructed under the Apache license. As Rust serves as its foundation, RustFS provides faster speed and safer distributed features for high-performance object storage.
Features
- High Performance: Built with Rust, ensuring speed and efficiency.
- Distributed Architecture: Scalable and fault-tolerant design for large-scale deployments.
- S3 Compatibility: Integration with common S3-compatible applications; current coverage is tracked in the S3 compatibility matrix.
- Data Lake Support: Optimized for big data and AI workloads.
- Open Source: Licensed under Apache 2.0, encouraging community contributions and transparency.
- User-Friendly: Designed with simplicity in mind, making it easy to deploy and manage.
RustFS vs MinIO
Stress test server parameters
| Type | parameter | Remark |
|---|---|---|
| CPU | 2 Core | Intel Xeon(Sapphire Rapids) Platinum 8475B , 2.7/3.2 GHz |
| Memory | 4GB | |
| Network | 15Gbp | |
| Driver | 40GB x 4 | IOPS 3800 / Driver |
https://github.com/user-attachments/assets/2e4979b5-260c-4f2c-ac12-c87fd558072a
RustFS vs Other object storage
| RustFS | Other object storage |
|---|---|
| Powerful Console | Simple and useless Console |
| Developed based on Rust language, memory is safer | Developed in Go or C, with potential issues like memory GC/leaks |
| Does not report logs to third-party countries | Reporting logs to other third countries may violate national security laws |
| Licensed under Apache, more business-friendly | AGPL V3 License and other License, polluted open source and License traps, infringement of intellectual property rights |
| S3-compatible core, with coverage tracked in the compatibility matrix | Variable S3 support and local cloud vendor coverage |
| Rust-based development, strong support for secure and innovative devices | Poor support for edge gateways and secure innovative devices |
| Stable commercial prices, free community support | High pricing, with costs up to $250,000 for 1PiB |
| No risk | Intellectual property risks and risks of prohibited uses |
Quickstart
To get started with RustFS, follow these steps:
-
One-click installation script (Option 1)
curl -O https://rustfs.com/install_rustfs.sh && bash install_rustfs.sh -
Docker Quick Start (Option 2)
# Docker Hub (recommended)
docker run -d -p 9000:9000 -v /data:/data rustfs/rustfs:latest
# Alternative using Podman
podman run -d -p 9000:9000 -v /data:/data rustfs/rustfs:latest
- Access the Console: Open your web browser and navigate to
http://localhost:9001to access the RustFS console, default username and password isrustfsadmin. - Create a Bucket: Use the console to create a new bucket for your objects.
- Upload Objects: You can upload files directly through the console or use S3-compatible APIs to interact with your RustFS instance.
Documentation
For detailed documentation, including configuration options, API references, and advanced usage, please visit our Documentation.
Getting Help
If you have any questions or need assistance, you can:
- Check the FAQ for common issues and solutions.
- Join our GitHub Discussions to ask questions and share your experiences.
- Open an issue on our GitHub Issues page for bug reports or feature requests.
Links
- Documentation - The manual you should read
- Changelog - What we broke and fixed
- GitHub Discussions - Where the community lives
Contact
- Bugs: GitHub Issues
- Business: hello@rustfs.com
- Jobs: jobs@rustfs.com
- General Discussion: GitHub Discussions
- Contributing: CONTRIBUTING.md
Contributors
RustFS is a community-driven project, and we appreciate all contributions. Check out the Contributors page to see the amazing people who have helped make RustFS better.
License
RustFS is a trademark of RustFS, Inc. All other trademarks are the property of their respective owners.