DavvyyandGitHub
d03ac3c299
* fix(s3api): reject a PUT whose body ends before Content-Length
With a plain (non-aws-chunked) request body, a PutObject whose body ends
before Content-Length bytes have arrived is committed as a complete but
shorter object. Real S3 rejects this with IncompleteBody and the object
never becomes visible.
Nothing on that path compares bytes received against Content-Length:
fasthttp reports a connection closed mid-body as a plain io.EOF (the
conversion to io.ErrUnexpectedEOF exists only on the chunked
transfer-encoding branch), the authentication middleware leaves an
UNSIGNED-PAYLOAD body unwrapped, and io.Copy treats io.EOF as a normal
end of stream.
ErrIncompleteBody already exists and is enforced by the chunk readers.
This adds the equivalent check for plain bodies, in the controller so
that every backend is covered, and only when the body is not already an
aws-chunked reader.
POST-Object is deliberately untouched: it is a separate handler whose
ContentLength is an upper bound, so a byte-count check there would
break browser form uploads.
* test(s3api): cover ContentLengthReader
Complete and empty bodies, truncated bodies (including an EOF delivered
together with the final bytes, and one byte per Read), a body longer
than announced, and pass-through of a non-EOF error.
* fix(s3api): check plain bodies against Content-Length, not the decoded length
Review catch: the controller replaces contentLength with
X-Amz-Decoded-Content-Length whenever that header is present, regardless
of payload type, and the previous commit fed that value to
ContentLengthReader. A complete plain upload whose decoded header is
larger than Content-Length was then rejected with IncompleteBody, where
it had succeeded before.
AWS S3 ignores X-Amz-Decoded-Content-Length on a plain body and stores
Content-Length bytes. The decoded length only describes aws-chunked
payloads, and those skip this wrapper anyway, so the check now reads the
raw Content-Length header.
If the header is missing or unparseable the body is left unwrapped: an
aws-chunked request without Content-Length is already rejected earlier
with ErrMissingContentLength, so there is nothing to check here.
* test(integration): cover aborted uploads and the decoded-length case
Three tests, as requested in review.
PutObject_aborted_plain_body plain PUT, body ends early -> no object
PutObject_aborted_streaming_body same for an aws-chunked upload
PutObject_plain_body_with_decoded_length
complete plain PUT carrying
X-Amz-Decoded-Content-Length still
succeeds and stores Content-Length bytes
The abort is driven by a reader that fails partway, so the transport
tears the connection down mid-body - that is what a client that dies or
cancels looks like on the wire. Sending a short body with a normal
reader would not reproduce it: net/http would simply report the
mismatch itself.
The third test is the regression the review found. It fails without the
accompanying fix.
* test(integration): replace the bogus streaming abort test with a real one
The reviewer is right: putObjectAborted always sends
x-amz-content-sha256: UNSIGNED-PAYLOAD, and the gateway decides aws-chunked
from that header alone, so PutObject_aborted_streaming_body took the same
plain path as the test above it. It duplicated the plain test instead of
covering the streaming one.
Dropped it and added UnsignedStreamingPayloadTrailer_aborted_connection in
tests/integration/unsigned_streaming_payload_trailer.go, where it belongs.
UnsignedStreamingPayloadTrailer_incomplete_body already covers malformed and
truncated framing, but every case there is a COMPLETE request. The new test is
the other shape: valid framing whose bytes simply stop arriving.
The Versity S3 Gateway:
A High-Performance S3 Translation Service
Binary release builds
Download latest release
| Linux amd64/arm64 | MacOS amd64/arm64 | BSD amd64/arm64 | Windows amd64/arm64 |
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Use Cases
- Turn your local filesystem into an S3 server with a single command!
- Proxy S3 requests to S3 storage
- Simple to deploy S3 server with a single command
- Protocol compatibility in
posixallows common access to files via posix or S3 - Simplified interface for adding new storage system support
WebGUI
Get more details about the new (optional) WebGUI management/explorer here: https://github.com/versity/versitygw/wiki/WebGUI
S3 RDMA
VersityGW supports S3 over RDMA (Remote Direct Memory Access), enabling high-throughput, low-latency object transfers that bypass the kernel network stack. This is particularly useful for HPC and data-intensive workloads where network overhead is a bottleneck. See the S3 RDMA wiki page for setup and usage details.
vgwrdma is a VersityGW-based service that exposes a standard S3 API accelerated with NVIDIA's cuObject (GPUDirect Storage for Objects) protocol.
Static Website Hosting
Serve S3 buckets as static websites with index documents, custom error pages, and routing rules.
Enable a separate website endpoint with --website :8090 --website-domain example.com for virtual-host style routing (blog.example.com serves bucket blog, example.com serves bucket example.com).
When --website-domain is omitted, catch-all mode is used: the full hostname becomes the bucket name (name your buckets as FQDNs, e.g. blog.example.com).
See Global Options for all --website-* flags.
News
Check out latest wiki articles: https://github.com/versity/versitygw/wiki/Articles
Mailing List
Keep up to date with latest gateway announcements by signing up to the versitygw mailing list.
Documentation
See project documentation on the wiki.
Need help?
Ask questions in the community discussions.
Contact Versity Sales to discuss enterprise support.
Overview
Versity Gateway, a simple to use tool for seamless inline translation between AWS S3 object commands and storage systems. The Versity Gateway bridges the gap between S3-reliant applications and other storage systems, enabling enhanced compatibility and integration while offering exceptional scalability.
The server translates incoming S3 API requests and transforms them into equivalent operations to the backend service. By leveraging this gateway server, applications can interact with the S3-compatible API on top of already existing storage systems. This project enables leveraging existing infrastructure investments while seamlessly integrating with S3-compatible systems, offering increased flexibility and compatibility in managing data storage.
The Versity Gateway is focused on performance, simplicity, and expandability. The Versity Gateway is designed with modularity in mind, enabling future extensions to support additional backend storage systems. At present, the Versity Gateway supports any generic POSIX file backend storage, Versity’s open source ScoutFS filesystem, Azure Blob Storage, and other S3 servers.
The gateway is completely stateless. Multiple Versity Gateway instances may be deployed in a cluster to increase aggregate throughput. The Versity Gateway’s stateless architecture allows any request to be serviced by any gateway thereby distributing workloads and enhancing performance. Load balancers may be used to evenly distribute requests across the cluster of gateways for optimal performance.
The S3 HTTP(S) server and routing is implemented using the Fiber web framework. This framework is actively developed with a focus on performance. S3 API compatibility leverages the official aws-sdk-go-v2 whenever possible for maximum service compatibility with AWS S3.
Getting Started
See the Quickstart documentation.
Run the gateway with posix backend:
mkdir /tmp/vgw /tmp/vers
ROOT_ACCESS_KEY="testuser" ROOT_SECRET_KEY="secret" ./versitygw --port :10000 --iam-dir /tmp/vgw posix --versioning-dir /tmp/vers /tmp/vgw
This will enable an S3 server on the current host listening on port 10000 and hosting the directory /tmp/vgw with older object versions in /tmp/vers. It's fine if both of these directories are within the same filesystem. The --iam-dir option enables simple JSON flat file accounts for testing.
To get the usage output, run the following:
./versitygw --help
The command format is
versitygw [global options] command [command options] [arguments...]
The global options are specified before the backend type and the backend options are specified after.
Testing & Production Readiness
VersityGW is battle-tested and production-ready. Every pull request must pass our comprehensive test suite before it can be reviewed or merged. All code reviews are done by at least one human in the loop. LLMs may be used to augment the review process, but are never the sole reviewer or decision maker. See Testing for high level testing documentation.
Comprehensive Test Coverage
Our multi-layered testing strategy includes:
- Go Unit Test Files - Extensive unit tests with race detection and code coverage analysis covering core functionality, edge cases, and error handling.
- Integration Test Scripts - Real-world scenario testing across multiple backends (POSIX, S3, Azure) and configurations.
- Functional/Regression Tests - End-to-end SDK tests validating complete workflows including full-flow operations, POSIX-specific behavior, and IAM functionality populated with regression tests as issues are addressed.
- Static Analysis - Static Analysis checks using staticcheck.
- System Tests - Protocol-level validation using industry-standard S3 clients:
- AWS CLI - Official AWS command-line tools
- s3cmd - Popular S3 client
- Direct REST API testing with curl for request/response validation
- Security Testing - Both HTTP and HTTPS configurations tested. Vulnerability scanning with govulncheck. And regular dependency updates with dependabot.
- Compatibility Testing - Multiple backends, versioning scenarios, static bucket modes, and various authentication methods.
Run the gateway in Docker
Use the published image like the native binary by passing CLI arguments:
docker run --rm versity/versitygw:latest --version
See Docker for more documentation for running within Docker.
Run on Kubernetes
A Helm chart is provided to easily run Versity in Kubernetes environments:
helm install versitygw oci://ghcr.io/versity/versitygw/charts/versitygw
Please refer to the chart's README for more information and configuration parameters.
Versity gives you clarity and control over your archival storage, so you can allocate more resources to your core mission.
Contact
info@versity.com
+1 844 726 8826
@versitysoftware
