dive VS Lean and Mean Docker containers

Dive is a great tool for debugging this. I like image reduction work just because it gives me a chance to play with Dive: https://github.com/wagoodman/dive

One easy low hanging fruit I see a LOT for ballooning image sizes is people including the kitchen sink SDK/CLI for their cloud provider (like AWS or GCP), when they really only need 1/100 of that. The full versions of both of these tools are several hundred mb each

Whether you work with Docker regularly or even create your own Docker containers, Dive is a great tool for streamlining image sizes, potentially helping you save storage costs and speed up deployments.

If you’re happy to pull the image, then sort of yes. You can either use docker inspect or a tool like dive (https://github.com/wagoodman/dive) to see how each layer was created. This will give you an idea of the Dockerfile.

Also, check out dive. It is an amazing tool for examining containers and find your size issues.

Did you try using dive ? It allows you to see each layer, so you can see the files that are added

I like this tool: https://github.com/wagoodman/dive

Also do I get shiny flair for https://github.com/wagoodman/dive/pull/443? Perhaps "Void shouter"?

This tool is really useful for showing the size of each layer, making it obvious which layer is blowing up your image size: https://github.com/wagoodman/dive

Slim.ai presents the data in a more user friendly way than many of the other tools in this post. On top of its open source SlimToolkit for identifying the contents of an image, Slim.ai uses Trivy for vulnerability scanning.

What about https://github.com/slimtoolkit/slim?

Anyone tried using https://github.com/docker-slim/docker-slim To minify an image?..

Distroless images are better left for people with serious need for lightweight images and good Linux knowledge because they require lot of planning with the build so that they stay light and work. If you need lighter images but docker isn't your main tool and you can't afford to take hours and hours of practicing different build strategies you can check docker-slim (https://dockersl.im/). With this tool you can easily size down the images.

Maybe this would help in that regard: https://github.com/docker-slim/docker-slim

I have heard of slim.ai, there core tool is open source https://github.com/docker-slim/docker-slim

* We have a lightweight engineering process based on trust, self-alignment and visibility.

Email me at [email protected] if you'd like to learn more.

P.S.

Take a look at DockerSlim ( https://github.com/docker-slim/docker-slim ) if you are interested in working on the open source project that powers our SaaS.

In last weeks blog I talked about what my plan was for release 2.9. My main areas of concern was finishing the migration to make use of the images stored in our Docker registry. The other area I was planning on taking on was to slim down those images in the registry by using Docker-Slim.