buildkit VS podman

At the very real risk of talking out of my ass, the new versioned Dockerfile mechanism on top of builtkit should enable you to do that: https://github.com/moby/buildkit/blob/v0.15.0/frontend/docke...

In true "when all you have is a hammer" fashion, as very best I can tell that syntax= directive is pointing to a separate docker image whose job it is to read the file and translate it into builtkit api calls, e.g. https://github.com/moby/buildkit/blob/v0.15.0/frontend/docke...

But, again for clarity: I've never tried such a stunt, that's just the impression I get from having done mortal kombat with builtkit's other silly parts

The currently proposed solution is to allow Docker to bind the cache directory in the build to a directory on the host. This way the cache could be persisted externally. However, this issue has been opened for almost 4 years (May 27, 2020) with no clear answer as to whether it'll be implemented any time soon.

> We are uding docker-in-docker at the moment

You can also run a "less privileged" container with all the features of Docker by using rootless buildkit in Kubernetes. Here are some examples:

https://github.com/moby/buildkit/tree/master/examples/kubern...

https://github.com/moby/buildkit/blob/master/examples/kubern...

It's also possible to run dedicated buildkitd workers and connect to them remotely.

- BuildOp evaluates its input as additional LLB operations to add to the graph to allow for dynamic build graphs (also unused in the Dockerfile frontend)

With the Dockerfile Explorer, we run the Dockerfile frontend[1] that BuildKit uses inside of WASM to parse and produce the LLB output locally in your browser. We then embed the Monaco Editor so that you can change your Dockerfile to see how it impacts the LLB output that BuildKit will use to build your Docker image.

You can see a quick video and read more details on how it all works here: https://depot.dev/blog/dockerfile-explorer.

We'd love any feedback or ideas folks would like around this type of tool!

[0] https://github.com/moby/buildkit#exploring-llb

Now since Kubernetes works off of containerd I'll be taking a different approach on handling container builds by using nerdctl and the buildkit that comes bundled with it. I'll do this on the amd64 control plane node since it's beefier than my Raspberry Pi workers for handling builds and build related services. Go ahead and download and unpack the latest nerdctl release as of writing (make sure to check the release page in case there's a new one):

There's a 2-year-old moby/buildkit GitHub issue about frequent build cache misses when using the BuildKit docker-container driver and multi-stage builds. Anyone else in this sub run into this problem and/or have reasonable workarounds? It seems like something that should come up pretty often.

A couple months ago I encountered a bug in buildkit - when enabling OpenTelemetry tracing, we got occasional panics. With a bit of investigation, we found the cause, fixed and tested in our fork and internal deployments, and pushed to upstream.

I do some search in the internet and there seems to be no good solution, so I just create a feature request: https://github.com/moby/buildkit/issues/3859

This recipe allows you to deploy your app in a redistributable, virtualized, os agnostic, self-contained and self-configured software image and run it in virtualization engines such as Docker or Podman. It even includes things out of the box like the supervisor's tidy configuration for handling your queues, nice defaults for php, opcache and php-fpm, nginx, etc.

Thus motivated, install Podman Desktop, a Docker-compatible Linux containers tool with Podman. After Podman Desktop is installed and running, open a terminal and

What makes containers useful is the tooling that surrounds it. For these labs, we will be using Docker, which has been a widely adopted tool for using containers to build applications. Docker provides developers and operators with a friendly interface to build, ship and run containers on any environment with a Docker engine. Because Docker client requires a Docker engine, an alternative is to use Podman, which is a deamonless container engine to develop, manage and run OCI containers and is able to run containers as root or in rootless mode. For those reasons, we recommend Podman but because of adoption, this lab still uses Docker.

Podman (Pod Manager) is probably one of the most famous alternatives to Docker Desktop. It's an open-source container management tool that offers a daemonless container engine for developing, managing, and running OCI containers on Linux systems.

containers/podman > [Feature]: Android support:

> There are docker and containerd in termux-packages. https://github.com/termux/termux-packages/tree/master/root-p...

But Android 13+ supports rootless pKVM VMs, which podman-machine should be able to run containers in; but only APK-installed binaries are blessed with the necessary extended filesystem attributes to exec on Android 4.4+ with SELinux in enforcing mode.

- Android pKVM: https://source.android.com/docs/core/virtualization/architec... :

> qemu + pKVM + podman-machine: https://github.com/containers/podman/discussions/17717 :

> The protected kernel-based virtual machine (pKVM) is built upon the Linux KVM hypervisor, which has been extended with the ability to restrict access to the payloads running in guest virtual machines marked ‘protected’ at the time of creation.

> KVM/arm64 supports different execution modes depending on the availability of certain CPU features, namely, the Virtualization Host Extensions (VHE) (ARMv8.1 and later).

- "Android 13 virtualization lets [Pixel >= 6] run Windows 11, Linux distributions" (2022)

Given access to the server, I had no idea where to start or even what I was looking for. There was tech I had never worked with before like an Nginx server and podman which is similar to Docker (the only technology I am familiar with) and can work in tandem with it. There was a lot of work to be done and I lot I didn't understand so I got creative.

Podman is an open-source visualization tool developed by RedHat. It leverages the libpod library as a container lifecycle management tool. It is a daemonless container engine OCI management on Linux. It is primarily made for Linux but can run on Windows and Mac using virtual machines managed by Podman.