x2s3 0.9.0

RESTful web service which makes any storage system X available as an S3-compatible REST API

x2s3

RESTful web service which makes any storage system X available as an S3-compatible REST API, hence the name "X to S3". It was initially built to support cloud-compatible microscopy image viewers such as N5 Viewer (BigDataViewer) and Neuroglancer.

At Janelia, we use x2s3 to make private buckets on Seagate Lyve appear public, and to proxy internal resources (e.g. VAST S3). It can also be used as a pop-up file service for quickly viewing local images in BigDataViewer or Neuroglancer.

Features

• Extensible support for backend storage systems
• Optional web-based bucket explorer
• Hidden buckets
• Partial buckets (chroot-like prefixes)
• Non-blocking object streaming

Inspired by S3 proxies such as oxyno-zeta/s3-proxy and pottava/aws-s3-proxy, this service goes a step further to implement enough of the AWS S3 API to be useable by AWS clients, such as BigDataViewer. The S3 proxy implements which do this well (e.g. gaul/s3proxy) only proxy a single bucket at a time.

S3 endpoints implemented:

• GetBucketAcl
• GetObject
• HeadObject
• ListBuckets
• ListObjectsV2

S3 features omitted:

• Permissions
• Encryption
• Versioning
• RequestPayer
• etc.

Running

Create a config.yaml file that contains all of the buckets you want to serve. You can get started quickly by using the provided example template:

cp config.template.yaml config.yaml

See the documentation for more information about the configuration file.

The simplest way to run the service is to use Docker:

docker run -it -p 8000:8000 -v ./config.yaml:/app/x2s3/config.yaml ghcr.io/janeliascicomp/x2s3:latest

You can also run the service with Python/Uvicorn directly. See the development documentation for more information on setting that up.

Production Deployment

For production deployments, we recommend using an orchestrator (like Docker Compose) to run the prebuilt Docker container along with an Nginx reverse proxy which provides caching and TLS termination.

Create a ./docker/.env file that looks like this:

CONFIG_FILE=/path/to/config.yaml
VAR_DIR=/path/to/var/dir
CERT_DIR=/path/to/certs
NGINX_CACHE_DIR=/path/to/cache

These properties configure the service as follows:

• CONFIG_FILE: path to the config.yaml settings file
• VAR_DIR: optional path to the var directory containing access keys referenced by config.yaml
• CERT_FILE: optional path to the SSL cert file
• KEY_FILE: optional path to the SSL key file
• NGINX_CACHE_DIR: path for Nginx response caching (you can disable caching by editing nginx.conf)

Now you can bring up the container:

cd docker/
docker compose up -d

Additional Documentation

• Configuation - how to use config.yaml to configure the service
• Development - notes on developing the service codebase

Attributions

• Proxy icons created by Uniconlabs - Flaticon
• AWS S3 API Reference