* fix(scanner): treat replication status writebacks as status-class hits
A replication status writeback (persist_replication_state_if_current in
Update mode, including the heals the scanner queues during its own walk)
marked the bucket dirty on the namespace path: it advanced the dirty-usage
generation, woke the scanner, reached the durable dirty journal and
entered the activity snapshot. Any replicated bucket therefore made every
scanner cycle Superseded, the authoritative usage baseline was never
certified and usage freshness stayed stale for as long as replication ran
(#8375).
The writeback is now status class: record_status_class_mutation records
only the process-local producer coverage bit and nothing else. There is
no rescan queue for it, because a deployment with an active replication
rule already walks every bucket on every cycle
(ScannerMaintenanceFeatures::needs_regular_cycle) and that walk refreshes
replication_stats. The routing lives in a named, unit-tested function in
rustfs/src/storage/storage_api.rs; tier-expiration cleanup removes data
and stays on the namespace path.
No persisted format, protocol, admin API or configuration changes.
This is phase 1 of docs/architecture/scanner-per-bucket-convergence.md,
which this change adds together with its index entry.
Refs #8375, #8494, rustfs/backlog#2816.
* fix(scanner): refresh replication statistics during maintenance
Refresh compacted prefixes and completed bucket caches during replication maintenance. Bind set execution reuse to the observed replication statistics so a same-cycle retry cannot restore older counters.
Co-Authored-By: heihutu <heihutu@gmail.com>
Co-Authored-By: zhi22915 <qiuzgang@gmail.com>
* test(scanner): avoid expanding the legacy S3 DTO surface
Decode the existing replication configuration type from a JSON fixture instead of adding direct S3 DTO references to a new file. Preserve the compacted-prefix and same-cycle assertions and the footprint ratchet.
Co-Authored-By: heihutu <heihutu@gmail.com>
Co-Authored-By: zhi22915 <qiuzgang@gmail.com>
* feat(scanner): attribute activity guardrail vetoes per field
The post-walk cluster activity proof compared the whole activity snapshot,
so any namespace or dirty-usage generation movement vetoed publication.
Veto only on the fields that change which heap the walk described
(peer set, instance id, protocol version, topology, maintenance
generation, data movement, movement generation, publication blocked) and
name the field and host in the log and in a new usage-freshness counter.
Generation movement is a shade signal consumed per bucket. A remote peer
whose dirty-usage state moved keeps the whole-cycle outcome until scoped
acknowledgements can name its buckets.
* feat(data-usage): carry pending-bucket certification in DataUsageInfo
Add the additive fields a per-bucket certified scanner snapshot needs:
the sorted list and count of buckets whose dirty-usage generation moved
during the walk, and an explicit observational marker for snapshots whose
authoritative publication was vetoed. All three default when absent and
are skipped when empty, so older readers see the existing snapshot shape.
* feat(scanner): certify dirty usage per bucket and complete cycles with pending buckets
A structurally complete walk that the guardrail did not veto is now
`Complete` even when the dirty-usage generation moved during the walk.
Certification keeps the compare-and-remove semantics of
clear_dirty_usage_buckets: buckets whose generation still equals the start
snapshot are cleared, buckets written during the walk stay in the dirty map
and are published as the pending set, so usage_snapshot_converged becomes
`pending == 0`. The authoritative object is written for such cycles; the
observed route is selected by the explicit observational mark that vetoed
cycles carry instead of by the convergence flag, and the root publication
proof is read for every authoritative save. The post-lease activity recheck
compares the guardrail fields, with the peer dirty-usage fallback, instead
of the full snapshot digest.
* feat(scanner): accept unconverged complete publications as the cache baseline
complete_scanner_cache_baseline_plan_digest required the authoritative
snapshot to be converged, so a site whose cycles always left a bucket
pending could never scope a rescan and every cycle was a full walk. The
authoritative object is now a structural baseline whenever it carries a
convergence marker and no observational mark; bucket-cache reuse is then
governed by certification, because pending buckets stay in the dirty map
and are selected for the rescan while certified buckets reuse their set
cache. Observed candidates keep requiring the unconverged marker, and
segment reuse evidence keeps requiring a converged baseline.
Add the single-disk cycle test: a bucket written during the walk is the
only pending bucket, the others are certified, the publication is
authoritative and unconverged, and the next cycle is scoped to that
bucket; a held PUT tail still supersedes onto the observed route.
* feat(admin): expose scanner guardrail vetoes in usage freshness
Carry the attributed guardrail veto counter, timestamp and <field>@<host>
reason from the scanner metrics report into the madmin scanner status so
an operator can tell a rebalance or a PUT tail from a broken probe. The
fields are additive with serde defaults and merge like the deferral
fields.
* docs(scanner): record per-bucket certification in the design and changelog
Amend the convergence design where the implementation deviates: pending
buckets carry their walked value, maintenance_generation stays a veto,
guardrail localisation and the remaining phase-2 items ship separately,
last_cycle_result keeps its success label, and the admin surface gains the
guardrail veto fields. Update the publication contract for the post-lease
guardrail recheck and the explicit observational routing mark.
* refactor(scanner): drop the unreachable failed-bucket input from the pending set
A failed bucket never reaches a Complete cycle, so the pending set only
needs the start snapshot. Also remove a redundant clone in the data-usage
round-trip test.
* test(scanner): name the activity field mutation table type
* test(scanner): fill the post-walk gate in merged replication fixtures
The replication maintenance fixture merged from main builds a
ScannerCycleRequest literal and predates the test-only post_walk_gate
field; give it the default so the test target compiles on the rebased
branch.
* ci(nextest): run the admin target-repair fixtures on the ecstore base stack
repair_transaction_rejects_a_bucket_recreated_after_target_validation
overflowed the 2 MiB libtest default twice in a row on Linux CI for this
branch. Measured by sweeping RUST_MIN_STACK with the ci profile on macOS
arm64: main (65f30bd5c) passes at 2032 KiB and overflows at 2016 KiB,
this branch passes at 2040 KiB and overflows at 2032 KiB; on both trees
the overflow is in the test's delete_bucket step on the real store, and
the futures on that path are small (the peak is nested poll depth, not
one large future). The module was given this stack in #7272 and removed
in #7280 to check that boxing (#7277) sufficed; with the default now
exhausted on main itself, give the fixtures the same 4 MiB base stack as
the other real-storage rustfs fixtures, in both profiles.
* test(scanner): fill the post-walk gate in the walkers-per-disk fixture
The merge from main brought the walkers_per_disk cycle fixture (#8539),
whose ScannerCycleRequest initializer predates the test-only
post_walk_gate field this branch adds; the scanner test target did not
compile. Fill the default so the merged head builds.
---------
Co-authored-by: Hauser <housemecn@gmail.com>
Co-authored-by: heihutu <heihutu@gmail.com>
Co-authored-by: zhi22915 <qiuzgang@gmail.com>
RustFS is a high-performance, distributed object storage system built in Rust.
Getting Started · Docs · Bug reports · Discussions
English | 简体中文 | Deutsch | Español | français | 日本語 | 한국어 | Portuguese | Русский
RustFS is a high-performance, distributed object storage system built in Rust—one of the most loved programming languages worldwide. RustFS combines the simplicity of MinIO with the memory safety and raw performance of Rust. It offers broad S3 API compatibility for supported features, is completely open-source, and is optimized for data lakes, AI, and big data workloads.
Unlike other storage systems, RustFS is released under the permissible Apache 2.0 license, avoiding the restrictions of AGPL. With Rust as its foundation, RustFS delivers superior speed and secure distributed features for next-generation object storage.
Feature & Status
- High Performance: Built with Rust to ensure maximum speed and resource efficiency.
- Distributed Architecture: Scalable and fault-tolerant design suitable for large-scale deployments.
- S3 Compatibility: Seamless integration with common S3-compatible applications and tools; current coverage is tracked in the S3 compatibility matrix.
- OpenStack Swift API: Native support for Swift protocol with Keystone authentication.
- OpenStack Keystone Integration: Native support for OpenStack Keystone authentication with X-Auth-Token headers.
- Data Lake Support: Optimized for high-throughput big data and AI workloads.
- Open Source: Licensed under Apache 2.0, encouraging unrestricted community contributions and commercial usage.
- User-Friendly: Designed with simplicity in mind for easy deployment and management.
Status legend: ✅ Available — shipped and covered by CI gates; 🧪 Preview — shipped behind an opt-in flag or with a bounded compatibility claim.
| Feature | Status | Feature | Status |
|---|---|---|---|
| S3 Core Features | ✅ Available | Distributed Mode | ✅ Available |
| Upload / Download | ✅ Available | Single Node Mode | ✅ Available |
| Versioning | ✅ Available | Bitrot Protection | ✅ Available |
| Object Lock (WORM) | ✅ Available | Healing & Scanner | ✅ Available |
| Server-Side Encryption | ✅ Available | Pool Expansion / Decommission | ✅ Available |
| RustFS KMS | ✅ Available | Bucket Replication | ✅ Available |
| Lifecycle Management (ILM) | ✅ Available | Site Replication | ✅ Available |
| ILM Tiering (Remote S3) | ✅ Available | Bucket Quota | ✅ Available |
| S3 Select | ✅ Available | Event Notifications | ✅ Available |
| S3 Tables (Iceberg REST) | 🧪 Preview | Audit Logging | ✅ Available |
| IAM / Policies | ✅ Available | Logging & Observability | ✅ Available |
| OIDC / SSO | ✅ Available | Web Console | ✅ Available |
| Keystone Auth | ✅ Available | K8s Helm Charts | ✅ Available |
| Swift API | ✅ Available | FTPS / WebDAV | ✅ Available |
| Multi-Tenancy | ✅ Available | SFTP | ✅ Available |
| MinIO On-Disk Compatibility | 🧪 Preview |
Notes:
- RustFS KMS: Vault (KV2 / Transit) and AWS KMS backends are supported for production. The
LocalandStaticbackends are for development and testing only. See KMS backend security properties. - Swift API / SFTP: opt-in cargo features (
--features swift,--features sftp, orfull). FTPS and WebDAV are enabled in the default build. - S3 Tables: ships as an Iceberg REST Catalog with automated PyIceberg and DuckDB coverage; other engines and vendor profiles carry bounded claims listed in the S3 Tables support matrix.
- MinIO On-Disk Compatibility: gated behind the
rio-v2feature and not part of the default build. Objects MinIO encrypted are not readable by RustFS. See MinIO file-format interoperability.
RustFS vs MinIO Performance
Stress Test Environment:
| Type | Parameter | Remark |
|---|---|---|
| CPU | 2 Core | Intel Xeon (Sapphire Rapids) Platinum 8475B, 2.7/3.2 GHz |
| Memory | 4GB | |
| Network | 15Gbps | |
| Drive | 40GB x 4 | IOPS 3800 / Drive |
https://github.com/user-attachments/assets/2e4979b5-260c-4f2c-ac12-c87fd558072a
RustFS vs Other Object Storage
| Feature | RustFS | Other Object Storage |
|---|---|---|
| Console Experience | Powerful Console Comprehensive management interface. |
Basic / Limited Console Often overly simple or lacking critical features. |
| Language & Safety | Rust-based Memory safety by design. |
Go or C-based Potential for memory GC pauses or leaks. |
| Data Sovereignty | No Telemetry / Full Compliance Guards against unauthorized cross-border data egress. Compliant with GDPR (EU/UK), CCPA (US), and APPI (Japan). |
Potential Risk Possible legal exposure and unwanted data telemetry. |
| Licensing | Permissive Apache 2.0 Business-friendly, no "poison pill" clauses. |
Restrictive AGPL v3 Risk of license traps and intellectual property pollution. |
| Compatibility | S3-Compatible Core Works with common S3-compatible clients, with coverage tracked in the compatibility matrix. |
Variable Compatibility May lack support for local cloud vendors or specific APIs. |
| Edge & IoT | Strong Edge Support Ideal for secure, innovative edge devices. |
Weak Edge Support Often too heavy for edge gateways. |
| Risk Profile | Enterprise Risk Mitigation Clear IP rights and safe for commercial use. |
Legal Risks Intellectual property ambiguity and usage restrictions. |
Staying ahead
Star RustFS on GitHub and be instantly notified of new releases.
Quickstart
Important
Pool expansion notice:
- A single-node single-drive (SNSD) deployment is supported only as a standalone local path. It cannot expand in place or be added as a Pool. To move to a multi-drive topology, create a new deployment and migrate data through S3.
- Keep an existing multi-drive Pool's endpoints and Erasure Set width unchanged; expand by appending a new Pool. With ellipsis-based expansion, every Pool argument must contain an ellipsis expression and expand to at least two drive endpoints.
- Single-node multi-drive Pools and multi-node Pools with one drive per node are allowed, subject to valid Erasure Set geometry and EC settings; acceptance does not guarantee host-failure tolerance.
These topology rules follow MinIO, but automatic parity selection differs between the projects. See the Pool layout compatibility and regression tests before expanding a deployment.
To get started with RustFS, follow these steps:
1. One-click Installation (Option 1)
curl -O https://rustfs.com/install_rustfs.sh && bash install_rustfs.sh
2. Docker Quick Start (Option 2)
The RustFS container runs as a non-root user rustfs (UID/GID 10001:10001). If you bind-mount host directories with Docker or Compose, every mounted path must be writable by that user, otherwise startup may fail with permission denied errors. This applies to data directories, log directories, and TLS certificate directories when RUSTFS_TLS_PATH is enabled.
# Create data and logs directories
mkdir -p data logs
# Change the owner of these directories
chown -R 10001:10001 data logs
# Using latest version
docker run -d -p 9000:9000 -p 9001:9001 -v $(pwd)/data:/data -v $(pwd)/logs:/logs rustfs/rustfs:latest
# Using specific version
docker run -d -p 9000:9000 -p 9001:9001 -v $(pwd)/data:/data -v $(pwd)/logs:/logs rustfs/rustfs:1.0.2
If you use podman instead of docker, you can install the RustFS with the below command
# Create data and logs directories
mkdir -p data logs
# Run the container (podman will automatically set the folders ownership)
podman run -d -p 9000:9000 -p 9001:9001 -v $(pwd)/data:/data:Z,U -v $(pwd)/logs:/logs:Z,U rustfs/rustfs:latest
If you enable TLS with a bind-mounted certificate directory, prepare that mount the same way:
mkdir -p certs
chown -R 10001:10001 certs
You can also use Docker Compose. Using the docker-compose-simple.yml file in the root directory:
docker compose -f docker-compose-simple.yml up -d
Before running Compose with host bind mounts:
- Ensure every mounted host path is writable by
10001:10001. - If you enable TLS, ensure the certificate mount for
/opt/tlsis also readable by10001:10001. - If matching host ownership is not practical, run the
rustfsservice withuser: "<host-uid>:<host-gid>"instead. docker-compose-simple.ymlincludes avolume-permission-helperservice for named volumes.docker-compose-simple.ymlrelies on you to prepare bind-mounted host paths in advance.
Similarly, you can run the command with podman
podman compose -f docker-compose-simple.yml up -d
Webhook notification quick start (Docker):
docker run -d --name rustfs -p 9000:9000 \
-e RUSTFS_NOTIFY_ENABLE=true \
-e RUSTFS_NOTIFY_WEBHOOK_ENABLE_PRIMARY=on \
-e RUSTFS_NOTIFY_WEBHOOK_ENDPOINT_PRIMARY=http://<host-ip>:3020/webhook \
-e RUSTFS_NOTIFY_WEBHOOK_QUEUE_DIR_PRIMARY=/tmp/rustfs-events \
-e RUSTFS_OUTBOUND_ALLOW_ORIGINS=http://<host-ip>:3020 \
rustfs/rustfs:latest
Notes:
RUSTFS_NOTIFY_ENABLE=trueenables the global notify module switch.- For ARN
arn:rustfs:sqs::primary:webhook, use instance-scoped env vars with_PRIMARY. - If queue dir is omitted, the official image maps
/opt/rustfs/eventsinto the persistent/datavolume so it is writable by the runtime user and pending events survive container recreation. Overridequeue_dirwhen using another deployment layout. RUSTFS_NOTIFY_WEBHOOK_SKIP_TLS_VERIFY_PRIMARYdefaults tofalse; enabling it skips webhook TLS certificate verification, allows MITM attacks, and emits a startup warning. PreferRUSTFS_NOTIFY_WEBHOOK_CLIENT_CA_PRIMARYfor private CAs.- Since
1.0.0-beta.11, webhook endpoints on private or container networks (Docker Compose service names,host.docker.internal, RFC 1918 addresses) are blocked unless their exactscheme://host:portorigin is listed inRUSTFS_OUTBOUND_ALLOW_ORIGINS(the origin only, without the path). See Outbound Connection Policy.
NOTE: We recommend reviewing the docker-compose.yml file before running. It defines several services including Grafana, Prometheus, and Jaeger, which are helpful for RustFS observability. If you wish to start Redis or Nginx containers, you can specify the corresponding profiles.
3. Build from Source (Option 3) - Advanced Users
For developers who want to build RustFS Docker images from source with multi-architecture support:
# Build multi-architecture images locally
./docker-buildx.sh
# Build a single-platform image locally
./docker-buildx.sh -p linux/amd64
# Build and push to registry
./docker-buildx.sh --push
# Build specific version
./docker-buildx.sh --release 1.0.2 --push
# Build for custom registry
./docker-buildx.sh --registry your-registry.com --namespace yourname --push
The docker-buildx.sh script supports:
- Multi-architecture builds:
linux/amd64,linux/arm64 - Automatic version detection: Uses git tags or commit hashes
- Registry flexibility: Supports Docker Hub, GitHub Container Registry, etc.
- Build optimization: Includes caching and parallel builds
You can also use Make targets for convenience:
make docker-buildx # Build locally
make docker-buildx-push # Build and push
make docker-buildx-version VERSION=1.0.2 # Build specific version
make help-docker # Show all Docker-related commands
Heads-up (macOS cross-compilation): macOS keeps the default
ulimit -nat 256, socargo zigbuildor./build-rustfs.sh --platform ...may fail withProcessFdQuotaExceededwhen targeting Linux. The build script attempts to raise the limit automatically, but if you still see the warning, runulimit -n 4096(or higher) in your shell before building.
4. Build with Helm Chart (Option 4) - Cloud Native
Follow the instructions in the Helm Chart README to install RustFS on a Kubernetes cluster.
For scanner pacing, cycle budgets, bitrot cadence, lifecycle transition status,
and single-node single-disk idle CPU tuning, see
Scanner Runtime Controls. For
repeatable scanner-pressure validation, see
Scanner Benchmark Runbook. For
drive timeout knobs on slow storage — including the walk stall budget that
governs ListObjects on large prefixes — see
Drive Timeout Tuning.
5. Nix Flake (Option 5)
If you have Nix with flakes enabled:
# Run directly without installing
nix run github:rustfs/rustfs
# Build the binary
nix build github:rustfs/rustfs
./result/bin/rustfs --help
# Or from a local checkout
nix build
nix run
The flake also exports a NixOS module and the RustFS rc client. Add the
module to your system and provide credentials through runtime files (for
example, sops-nix or agenix) so secrets are never stored in the Nix store:
imports = [ inputs.rustfs.nixosModules.rustfs ];
services.rustfs = {
enable = true;
accessKeyFile = "/run/secrets/rustfs-access-key";
secretKeyFile = "/run/secrets/rustfs-secret-key";
volumes = [ "/var/lib/rustfs" ];
};
Install the S3-compatible client with
nix profile install github:rustfs/rustfs#rustfs-client (the executable is named
rc), or use inputs.rustfs.packages.${pkgs.system}.rustfs-client in a system
configuration.
6. X-CMD (Option 6)
If you are an x-cmd user:
# Run directly without installing
x rustfs
# Download the binary and install it to the global environment
x env use rustfs
rustfs --help
Accessing RustFS
- Access the Console: Open your web browser and navigate to
http://localhost:9001to access the RustFS console.- Default credentials:
rustfsadmin/rustfsadmin
- Default credentials:
- 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/clients to interact with your RustFS instance.
NOTE: To access the RustFS instance via https, please refer to the TLS Configuration Docs.
OIDC Roles Claim (Microsoft Entra ID)
RustFS supports mapping an OIDC claim containing role values into the existing
authorization pipeline. The roles_claim setting is optional: when unset or
empty, only the groups claim contributes to authorization (same as older
RustFS releases). For Microsoft Entra ID app roles, set roles_claim=roles so
both console admin checks and bucket IAM policies can evaluate those roles.
Example environment configuration (opt-in roles claim):
RUSTFS_IDENTITY_OPENID_ENABLE=on
RUSTFS_IDENTITY_OPENID_CONFIG_URL="https://login.microsoftonline.com/<tenant-id>/v2.0/.well-known/openid-configuration"
RUSTFS_IDENTITY_OPENID_CLIENT_ID="<client-id>"
RUSTFS_IDENTITY_OPENID_CLIENT_SECRET="<client-secret>"
RUSTFS_IDENTITY_OPENID_SCOPES="openid,profile,email"
RUSTFS_IDENTITY_OPENID_GROUPS_CLAIM="groups"
RUSTFS_IDENTITY_OPENID_ROLES_CLAIM="roles"
Policy condition example (evaluate app roles directly with jwt:roles; when
roles_claim is configured, RustFS also merges those values into jwt:groups
for backward compatibility with older policies):
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": ["admin:*"],
"Resource": ["arn:aws:s3:::*"],
"Condition": {
"ForAnyValue:StringEquals": {
"jwt:roles": ["RustFS.ConsoleAdmin"]
}
}
}
]
}
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:
- 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
- Discord - Chat with the RustFS community
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.
Star History
License
RustFS is a trademark of RustFS, Inc. All other trademarks are the property of their respective owners.