compose-spec VS k3s

Specification: https://compose-spec.io

https://github.com/compose-spec/compose-spec/blob/master/spe...

There are a number of incorrect statements in this post.

1) One should neither be using the "latest" nor just the "version" tag as the version can still vary depending on when it is pulled.

Instead, one should use a combination of version + hash, say alpine:3.18.2@sha256:82d1e9d7ed48a7523bdebc18cf6290bdb97b82302a8a9c27d4fe885949ea94d1 for reproducibility reasons. This provides for human readable versions as well as the specific hash.

2) Next, afaik, Compose has removed the need for version tags. All of the compose.yml files that I now use do not specify versions.

See https://github.com/compose-spec/compose-spec/blob/master/04-...

Docker Compose v2 specifications provide a useful Secrets feature which may also be used for standalone Compose Application Stacks and not just in Docker Swarm mode. With Docker Secrets the environment variables that contain credentials for other subsystems are mounted into the Telegraf Container as files. These secret files are read through the Docker Secret Store plugin and passed to the respective plugins in a relatively safe manner. By using the Docker Secret Store Plugin, one can also avoid credentials that were previously visible via environment variables, to be now hidden behind runtime secret files within the container. Standard Method with Environment Variables As an example, it is possible to pass the credentials to a plugin via the environment variable placeholder in a telegraf configuration file where the credentials for a plugin exist in a .env file (e.g. MQTT input Plugin)

also the docker-compose.yml file is very picky about what you have in it and where. Please read this so you know how to format it https://github.com/compose-spec/compose-spec/blob/master/spec.md

As part my quadlet helper tool, podlet, I'm adding functionality to convert compose files into k8s yaml to use with quadlet as an alternative to creating a bunch of separate quadlet files, which I've also added functionality for. So I would like to be able to transform the options on compose volumes into k8s yaml. For example, using the volume.podman.io/driver annotation to change the volume driver for a specific volume if possible.

If you find this helpful feature, please leave your feedback and suggestions here.

The compose spec will give what you need. https://github.com/compose-spec/compose-spec/blob/master/spec.md

Indeed, as per the compose-spec a lot of what was version specific is going away

Hello everyone, I just made a tool to visualize compose files, and all the parsing rules follow the [compose-spec](https://github.com/compose-spec/compose-spec/blob/master/spec.md). I hope this tool will help you :D

Opinionated meaning it picks, install, patches your CNI/Ingress/Load Balancer/DNS Server/Metrics Server/Monitoring Setup.

k3s is probably most well known as it ships with bunch of preinstall software: https://github.com/k3s-io/k3s so you can just start throwing yaml files at cluster and handling workloads. It's what I use for my homelab.

Paid things I've heard of include OpenStack and SideroLabs. Haven't used personally by SRE coworkers say good things about them.

For self-hosting I've found https://k3s.io to be really good from the SUSE people. Works on basically any Linux distro and makes self-hosting k8s not miserable.

Yes it’s going to depend on which k8s distribution you’re using. We have work in-progress for k3s to natively support nix-snapshotter: https://github.com/k3s-io/k3s/pull/9319

For other distributions, nix-snapshotter works with official containerd releases so it’s just a matter of toml configuration and a systemd unit for nix-snapshotter.

We run Kubernetes outside of NixOS, but yes the NixOS modules provided by the nix-snapshotter certainly make it simple.

K3S: is a lightweight distribution of Kubernetes that is designed for resource-constrained environments. It is an excellent option for running Kubernetes on a virtual machine or cloud server.

I recently purchased a used Lenovo M900 Think Centre (i7 with 32GB RAM) from eBay to expand my mini-homelab, which was just a single Synology DS218+ plugged into my ISP's router (yuck!). Since I've been spending a big chunk of time at work playing around with Kubernetes, I figured that I'd put my skills to the test and run a k3s node on the new server. While I was familiar with k3s before starting this project, I'd never actually run it before, opting for tools like kind (and minikube before that) to run small test clusters for my local development work.

Kubernetes - k3s distribution

I’ve created a local cluster with K3S and installing Windmill could not be simpler with just one chart to configure, which already has sane defaults to get started. For this demo we will also configure workers to passthrough environment variables to our scripts so that they have access to the Kubernetes API server for later.

You should be familiar with Kubernetes and have set up a Kubernetes cluster. I recommend k3s.