images VS talos

I'm very sorry that we broke things for you.

To be clear, nothing has changed with Wolfi. Wolfi is an open source community project and everything is still available there: https://github.com/wolfi-dev/.

We have made changes to Chainguard Images - our commercial product built on top of Wolfi - which mean you can no longer pull images by tag (other than latest). Chainguard images are rebuilt everyday and have a not inconsiderable maintenance cost.

The easiest way to avoid this is to build the images yourself. You can rebuild identical images to ours using apko and the source files in the images repo e.g: https://github.com/chainguard-images/images/blob/main/images... (note you can replace package names with versioned versions). You can also just use a Dockerfile with the wolfi-base image to "apk add" packages. Full details are here: https://www.chainguard.dev/unchained/a-guide-on-how-to-use-c...

I agree that pinning is a best practice. The above blog explains that you can still do it using a digest, but I accept this isn't the simplest solution.

If I can help any more, please feel free to get in touch - you can find me most places including twitter https://twitter.com/adrianmouat

We needed Wolfi to be able to create minimal (distroless if you like) container images based on glibc with 0 vulnerabilities. Turns out a lot of other people are interested in Wolfi for various reasons, and we're more than happy to work with them.

You definitely don't need to use Wolfi! But I would say, if you run containers you might want to check out Chainguard Images: https://github.com/chainguard-images/images

In this article, we'll see how to leverage Wolfi to create safer PHP application environments based on containers. To demonstrate Wolfi usage in a Dockerfile workflow (using a Dockerfile to build your image), we'll create an image based on the wolfi-base image maintained by Chainguard. The goal is to have a final runtime image able to execute a PHP command-line script. By definition, this image won't be completely distroless, because it will require APK to be present in order to install system dependencies described in the Dockerfile. For building pure distroless images, you should have a look at apko.

Super cool. I always enjoy reading about systems that challenge, well, "ossified" assumptions. An OS not providing a shell, for example? Madness! ... or is it genius, if the OS has a specific purpose...? It's thought-provoking, if nothing else.

I'm a bit skeptical of parts. For instance, the "init" binary being less than 400 lines of golang - wow! And sure, main.go [1] is less than 400 lines and very readable. Then you squint at the list of imported packages, or look to the left at the directory list and realize main.go isn't nearly the entire init binary.

That `talosctl list` invocation [2] didn't escape my notice either. Sure, the base OS may have only a handful of binaries - how many of those traditional utilities have been stuffed into the API server? Not that I disagree with the approach! I think every company eventually replaces direct shell access with a daemon like this. It's just that "binary footprint" can get a bit funny if you have a really sophisticated API server sitting somewhere.

[1]: https://github.com/siderolabs/talos/blob/main/internal/app/m...

[2]: https://www.talos.dev/v1.6/reference/cli/#talosctl-list

Where `kube.cue` sets reasonable defaults (e.g. image is /). The "cluster" runs on a mini PC in my basement, and I have a small Digital Ocean VM with a static IP acting as an ingress (networking via Tailscale). Backups to cloud storage with restic, alerting/monitoring with Prometheus/Grafana, Caddy/Tailscale for local ingress.

[1] https://www.talos.dev/

[2] https://cuelang.org/

Looks somewhat similar to the talos Linux project[1]

[1] https://www.talos.dev/

Talos Linux basically implements their entire userspace in Go and its similar to BottleRocketOS, because it is designed to host Kubernetes.

https://www.talos.dev/

You might be surprised to find that Talos os (linux distro for kubernetes) mostly uses Go: https://github.com/siderolabs/talos

I've been using a 3 nuc (actually Ryzen devices) k3s on SuSE MicroOS https://microos.opensuse.org/ for my homelab for a while, and I really like it. They made some really nice decisions on which parts of k8s to trim down and which Networking / LB / Ingress to use.

The option to use sqlite in place of etcd on an even lighter single node setup makes it super interesting for even lighter weight homelab container environment setups.

I even use it with Longhorn https://longhorn.io/ for shared block storage on the mini cluster.

If anyone uses it with MicroOS, just make sure you switch to kured https://kured.dev/ for the transactional-updates reboot method.

I'd love to compare it against Talos https://www.talos.dev/ but their lack of support for a persistent storage partition (only separate storage device) really hurts most small home / office usage I'd want to try.

If you’re interested in something not AWS check out Talos https://www.talos.dev/

It’s been around longer than Bottlerocket

Can't talk about work, but my homelab is Azure and Oracle managed k8s (AKS/OKE), with onprem Talos soon (Turing Pi 2). My Flux monorepo has the details. OKE performs noticably worse (update cycle, features, control plane performance), but it provides 4 ARM cores and 24GB RAM free so I can't complain

Talos