K3s is another compact Kubernetes distribution. Developed by SUSE, it's packaged as a single binary that comes in at less than 70MB. Despite this tiny footprint, K3s is certified as compatible with upstream Kubernetes, is ready for production use, and supports high availability. - Source: dev.to / 17 days ago

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. - Source: Hacker News / 3 months ago

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. - Source: dev.to / 5 months ago

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,... - Source: dev.to / 7 months ago

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. - Source: dev.to / 7 months ago

Jsonnet[1] and kapitan[2] are the tools I currently use. Their learning curve is not optimal (and I tried to contribute to smoothen it with a jsonnet course[3] and a 'get started wit kapitan' blog post[4]), but once used to it it's hard to do without, and their combination makes them even more useful (esp. If you deploy K8s). In Ruud's case, Jsonnet might have been worth looking at as Hashicorp tools can be... - Source: Hacker News / 5 months ago

Kubernetes config is a decent example. I had ChatGPT generate a representative silly example -- the content doesn't matter so much as the structure: https://gist.github.com/cstrahan/528b00cd5c3a22e3d8f057bb1a75ea61 Now consider 100s (if not 1000s) of such files. I haven't given Pkl an in depth look yet, but I can say that the Industry Standard™ of "simple YAML" + string substitution (with delicate, error prone... - Source: Hacker News / 5 months ago

Maybe you'd like jsonnet: https://jsonnet.org/ I find it particularly useful for configurations that often have repeated boilerplate, like ansible playbooks or deploying a bunch of "similar-but" services to kubernetes (with https://tanka.dev). Dhall is also quite interesting, with some tradeoffs: https://dhall-lang.org/ A few years ago I did a small comparison by re-implementing one of my simpler ansible... - Source: Hacker News / 10 months ago

Apologies for the lack of context, and for missing this comment until today. Both are tools for defining kubernetes manifests (which are YAML) in a reusable manner. Jsonnet is a formally specified extension of JSON. It’s essentially a functional programming language (w/some object oriented features) that generates config files in JSON/YAML/etc, so it’s straightforward to determine whether an input file is valid,... - Source: Hacker News / about 1 year ago

I like Google's Jsonnet [1], which has all of this except for 4. Jsonnet is quite mature, with fairly wide language adoption, and has the benefit of supporting expressions, including conditionals, arithmetic, as well as being able to define reusable blocks inside function definitions or external files. It's not suitable as a serialization format, but great for config. It's popular in some circles, but I'm sad that... - Source: Hacker News / about 1 year ago