kubetail VS k3s

There is an existing project named kubetail, which is quite popular 3.2K starts https://github.com/johanhaleby/kubetail

Kubetail

Thanos - Highly available Prometheus setup with long term storage capabilities. CNCF Sandbox project. https://thanos.io Prometheus - The Prometheus monitoring system and time series database. Grafana - The tool for beautiful monitoring and metric analytics & dashboards for Graphite, InfluxDB & Prometheus & More Kubetail - Bash script to tail Kubernetes logs from multiple pods at the same time Searchlight - Alerts for Kubernetes linkerd2 Monitoring Mixin for Grafana - Grafana dashboards for linkerd2 monitoring and can work in standalone (default) or in multi cluster setup kuberhaus - Kubernetes resource dashboard with node/pod layout and resource requests Kubernetes Job/CronJob Notifier - This tool sends an alert to slack whenever there is a Kubernetes cronJob/Job failure/success Argus - This tool monitors changes in the filesystem on specified paths

Kubetail is really nice: https://github.com/johanhaleby/kubetail.

Is this the gui version of kubetail?

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