osm VS k3s

If you'd like to go a bit deeper into service mesh technology, be sure to check out the resources listed below then head over to the Open Service Mesh with Azure Kubernetes Service lab to get hands-on and see a service mesh in action! Open Service Mesh is an open-source, lightweight service mesh that is easy to install and operate, so I encourage you to take it for a spin 🚀

osm-edge forked from Open Service Mesh is a lightweight, extensible, cloud-native, SMI-compatible service mesh built purposely for Edge computing. osm-edge uses lightweight programmable proxy Pipy as a sidecar proxy.

osm-edge is built on top of Open Service Mesh (OSM) v1.1.0 codebase and is a lightweight service mesh for resource-sensitive cloud environments and edge computing scenarios. It uses osm as the control plane and Pipy as the data plane and features high performance, low resources, simplicity, ease of use, scalability, and compatibility (x86/arm64 support).

osm-edge is a fork of open service mesh and we will strive to keep this fork in sync with its upstream and propose back major changes and/or feature proposals to upstream for broader benefits of the community. Both OSM and osm-edge are hosted on Github. If you have any feature request, question, or comment, we’d love to have you join the rapidly-growing community via Github Issues, Pull Requests, or osm slack channel!

Link: https://github.com/openservicemesh/osm/issues/4840

Azure Arc-enabled Kubernetes allows us to attach and configure Kubernetes clusters running anywhere. Open Service Mesh (OSM) is a lightweight, extensible, Cloud Native service mesh that allows users to uniformly manage, secure, and get out-of-the-box observability features for highly dynamic microservice environments. The Open Service Mesh (OSM) extension is a managed service mesh for Arc-enabled Kubernetes clusters that is lightweight and extensible.

Pull Request template from the Open Service Mesh project

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.

K3s' go.mod[0] is insane.

[0] https://github.com/k3s-io/k3s/blob/master/go.mod