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Closes #1640 Add a standalone AWS IAM Query API implementation for managing IAM users through standard AWS SDKs and the AWS CLI. Server usage Start the IAM server with internal file-backed storage: mkdir -p /tmp/versitygw-iam ./versitygw --port 127.0.0.1:7070 --access user --secret pass iam --dir /tmp/versitygw-iam Start the IAM server with Vault KV v2 storage using AppRole: VGW_IAM_VAULT_ROLE_SECRET=<role-secret> ./versitygw --port 127.0.0.1:7070 --access user --secret pass iam --vault-endpoint-url http://127.0.0.1:8200 --vault-auth-method approle --vault-role-id <role-id> --vault-mount-path kv --vault-secret-storage-path iam Vault authentication also supports root tokens, separate authentication and secret-storage namespaces, custom mount paths, server certificate validation, and mutual TLS client certificates. Configure the AWS CLI credentials used by the IAM server: export AWS_ACCESS_KEY_ID=user export AWS_SECRET_ACCESS_KEY=pass export AWS_DEFAULT_REGION=us-east-1 Implemented IAM actions CreateUser creates an IAM user with an AWS-compatible ARN, generated AIDA user ID, creation timestamp, optional path, and tags. It validates usernames, paths, tag limits, reserved tag prefixes, duplicate tag keys, and existing users. aws --endpoint-url http://127.0.0.1:7070 iam create-user --user-name bob aws --endpoint-url http://127.0.0.1:7070 iam create-user --user-name bob --path /engineering/ --tags Key=team,Value=storage GetUser returns a stored user or the root identity when requested without a username through the IAM Query API. aws --endpoint-url http://127.0.0.1:7070 iam get-user --user-name bob ListUsers returns users in deterministic username order and supports path filtering, marker-based pagination, and MaxItems limits. aws --endpoint-url http://127.0.0.1:7070 iam list-users aws --endpoint-url http://127.0.0.1:7070 iam list-users --path-prefix /engineering/ --max-items 100 UpdateUser updates the username and/or path, recalculates the user ARN, and rejects conflicts with existing users. aws --endpoint-url http://127.0.0.1:7070 iam update-user --user-name bob --new-user-name robert --new-path /platform/ DeleteUser permanently removes an IAM user and returns AWS-compatible errors for missing users. aws --endpoint-url http://127.0.0.1:7070 iam delete-user --user-name robert IAM protocol and authentication - Support the AWS IAM Query protocol version 2010-05-08 over GET and POST form requests. - Return AWS-compatible XML responses, error documents, status codes, request IDs, user metadata, and pagination fields. - Authenticate root credentials with AWS Signature Version 4 for the IAM service in us-east-1. - Support both Authorization-header and query-string SigV4 authentication. - Validate credential scope, signed headers, timestamps, clock skew, content length, signatures, and unsupported signature or session-token modes. - Add IAM-specific validation and error mapping for malformed requests, invalid actions, duplicate entities, missing users, throttling, and internal failures. Storage implementations - Add an internal JSON-backed store using iam.json and iam.json.backup with atomic temporary-file replacement, concurrent access protection, stable ordering, pagination, and persistence across restarts. - Add a Vault KV v2 store with one secret per user, CAS-based duplicate protection, permanent deletion, AppRole reauthentication, namespace support, configurable authentication and KV mounts, root-token authentication, and TLS/mTLS configuration. - Introduce a common Storer interface and require exactly one storage backend to be configured. Server and embedding support - Register the new `versitygw iam` command with environment-variable and CLI configuration for both storage backends. - Add `embedgw.RunIAMAPI` and `IAMConfig` for embedding the IAM service in Go applications. Gateway-level internal packages - Add `internal/iamstore` as a reusable generic file-backed IAM persistence engine and migrate the existing gateway internal IAM service to it. - Add `internal/sigv4auth` for shared SigV4 header and presigned-query parsing, canonical request generation, signature verification, and structured authentication errors. - Refactor the S3 authentication paths to use the shared SigV4 implementation while preserving S3-specific error responses. - Add `internal/httpctx` for shared Fiber context keys and AWS-style request ID handling. - Add `internal/routekit` for shared query, form, and header route matchers. - Add `internal/netutil` for reusable certificate storage, hostname-aware listeners, multi-address serving, TLS listeners, and UNIX socket handling. - Update the custom SigV4 signer to honor an explicitly supplied signed-header list so unrelated headers do not alter IAM signatures. Testing and CI - Add AWS IAM SDK-based integration coverage for all supported user actions, header authentication, query authentication, validation, errors, filtering, and pagination. - Split standalone IAM tests into `versitygw test iam` and retain existing gateway IAM tests under `versitygw test gw-iam`. - Add unit coverage for controllers, authentication, routing, storage, embedding, listeners, request matching, persistence, and signing behavior. - Add `runiamtests.sh` to exercise internal storage over HTTP and HTTPS plus Vault storage through AppRole. - Add a dedicated IAM functional-test workflow with a Vault service and merged runtime coverage reporting. - Include the IAM test runner in shellcheck and add the AWS IAM SDK dependency.
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 |
|---|---|---|---|
| ✔️ | ✔️ | ✔️ | ✔️ |
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
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
