Minify your container by up to 30x to be more secure (free and open source)

• cruftspy

  3 15 0.0 Python

  Detect unnecessary files in Docker images

Like others here, I wasn't very happy about automatic coverage, so I made this instead https://github.com/viraptor/cruftspy

Instead of going extreme with coverage analysis, it shows places that can be manually cleaned during the build process. Maybe someone will find it useful. Smaller space gains, but gives more confidence.

• distroless

  122 17,695 9.3 Starlark

  🥑 Language focused docker images, minus the operating system.

  

Scratch is blank. Distroless includes some Debian components that removes a bunch of "gotchas" that some people relying on scratch run into.

- ca-certificates

- A /etc/passwd entry for a root user

- A /tmp directory

- tzdata

- glibc

- libssl

- openssl

https://github.com/GoogleContainerTools/distroless/tree/main...

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• docker-show-context

  1 322 10.0 Go

  Show where time is wasted during the context upload of `docker build`

I've had great success with reducing image size by running docker-show-context (https://github.com/pwaller/docker-show-context) and eliminating big and unnecessary files that it reports. This seems to go just a bit further than that with what seems like more complexity. I got timeouts when following their instructions to run it on two different containers, one of which is just a very simple web server.

• dive

  90 43,487 7.0 Go

  A tool for exploring each layer in a docker image

This is interesting for optimizing build time. But I think it works a bit different from docker-slim, which is focused on the final resulting image size.

Dive is a good tool for the latter IME. https://github.com/wagoodman/dive

It doesn't do the work for you, but it does single out the big layers in your image.

Suggest a related project