Docker: How To Debug Distroless And Slim Containers

Slim containers are faster (less stuff to move around) and more secure (fewer places for vulnerabilities to sneak in). However, these benefits of slim containers come at a price - such containers lack (the much-needed at times) exploration and debugging tools. It might be quite challenging to tap into a container that was built from a distroless or slim base image or was minified using DockerSlim or alike. Over the years, I've learned a few tricks how to troubleshoot slim containers, and it's time for me to share.

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Docker: How To Extract Image Filesystem Without Running Any Containers

A container image is a combination of layers where every layer represents some intermediary state of the final filesystem. Such a layered composition makes the building, storage, and distribution of images more efficient. But from a mere developer's standpoint, images are just root filesystems of our future containers. And we often want to explore their content accordingly - with familiar tools like cat, ls, or file. Let's try to see if we can achieve this goal using nothing but the means provided by Docker itself.

Container image to filesystem.

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What's Inside Of a Distroless Container Image: Taking a Deeper Look

GoogleContainerTools' distroless base images are often mentioned as one of the ways to produce small(er), fast(er), and secure(r) containers. But what are these distroless images, really? Why are they needed? What's the difference between a container built from a distroless base and a container built from scratch? Let's take a deeper look.

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In Pursuit of Better Container Images: Alpine, Distroless, Apko, Chisel, DockerSlim, oh my!

Many of us these days seem to be in pursuit of better container images. And this is for good reasons! Bloated images with many (potentially unneeded) moving parts slow down development and give more space for a CVE to sneak in. Luckily, there is a number of ways to produce slim and secure images, and everyone just needs to pick their poison a suitable one. But before doing so, it's good to become aware of a potential dissonance between what we say is important for us (securing our software supply chains) and what may actually drive our decisions (keeping out dev loops fast).

Containers - theory vs. practice.

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You Need Containers To Build Images

You need containers to build images. Yes, you've heard it right. Not another way around.

For people who found their way to containers through Docker (well, most of us I believe) it may seem like images are of somewhat primary nature. We've been taught to start from a Dockerfile, build an image using that file, and only then run a container from that image. Alternatively, we could run a container specifying an image from a registry, yet the main idea remains - an image comes first, and only then the container.

But what if I tell you that the actual workflow is reverse? Even when you are building your very first image using Docker, podman, or buildah, you are already, albeit implicitly, running containers under the hood!

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