![]() * docs(docker): Change suggested version numbre * deps(docker): Bump rust to 1.83.0 and alpine to 3.21.0 * deps(docker): Bump rust to 1.83.0 * CONTRIBUTORS: Add my name |
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Dockerfile | ||
Dockerfile.distroless | ||
README.md |
Building and running Anki sync server in Docker
This is an example Dockerfile contributed by an Anki user, which shows how you can run a self-hosted sync server, similar to what AnkiWeb.net offers.
Building and running the sync server within a container has the advantage of fully isolating the build products and runtime dependencies from the rest of your system.
Requirements
Aspect | Dockerfile | Dockerfile.distroless |
---|---|---|
Shell & Tools | ✅ Includes shell and tools | ❌ Minimal, no shell or tools |
Debugging | ✅ Easier debugging with shell and tools | ❌ Harder to debug due to minimal environment |
Health Checks | ✅ Supports complex health checks | ❌ Health checks need to be simple or directly executable |
Image Size | ❌ Larger image size | ✅ Smaller image size |
Customization | ✅ Easier to customize with additional packages | ❌ Limited customization options |
Attack Surface | ❌ Larger attack surface due to more installed packages | ✅ Reduced attack surface |
Libraries | ✅ More libraries available | ❌ Limited libraries |
Start-up Time | ❌ Slower start-up time due to larger image size | ✅ Faster start-up time |
Tool Compatibility | ✅ Compatible with more tools and libraries | ❌ Compatibility limitations with certain tools |
Maintenance | ❌ Higher maintenance due to larger image and dependencies | ✅ Lower maintenance with minimal base image |
Building image
To proceed with building, you must specify the Anki version you want, by replacing <version>
with something like 24.11
and <Dockerfile>
with the chosen Dockerfile (e.g., Dockerfile
or Dockerfile.distroless
)
# Execute this command from the root directory of your project
docker build -f docs/syncserver/<Dockerfile> --no-cache --build-arg ANKI_VERSION=<version> -t anki-sync-server .
Run container
Once done with build, you can proceed with running this image with the following command:
# this will create anki server
docker run -d -e "SYNC_USER1=admin:admin" -p 8080:8080 --name anki-sync-server anki-sync-server
However, if you want to have multiple users, you have to use the following approach:
# this will create anki server with multiple users
docker run -d -e "SYNC_USER1=test:test" -e "SYNC_USER2=test2:test2" -p 8080:8080 --name anki-sync-server anki-sync-server
Moreover, you can pass additional env vars mentioned here