microk8s
k3s
microk8s | k3s | |
---|---|---|
8 | 291 | |
6,539 | 26,483 | |
- | 1.2% | |
9.3 | 9.6 | |
almost 2 years ago | 2 days ago | |
Python | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
microk8s
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How to enable startup probe on GKE 1.16?
FROM postgres:11CMD sleep 30 && postgres I'm reusing this example from the same issue with microk8s where I could solve it by changing the kubelet and kubeapi-server configuration files (see https://github.com/ubuntu/microk8s/issues/770 in case you're interested). I assume this is not possible with GKE clusters as they don't expose these files, probably for good reasons.
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How to configure kubernetes (microk8s) to use local docker images?
$ kubectl get podsNAME READY STATUS RESTARTS AGEbackend-deployment-66cff7d4c6-gwbzf 0/1 ImagePullBackOff 0 18s Before that it was ErrImagePull. So, my question is, how to tell it to use local docker images? Somewhere on the internet I read that I need to build images using microk8s.docker but it seems to be removed.
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I was so excited to join this community
There's a whole community of hobbyists building Raspberry Pi clusters, porting things to work on various Arm processors, exploring and contributing to minimalist distros like k0s and microk8s, etc.
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no persistent volumes available for this claim and no storage class is set
same pvc worked fine on "GKE" (Google Kubernetes Engine) but failing in my local cluster using microk8s
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Is Kubernetes Still Just an Ops Topic?
Local Kubernetes Clusters: It is now possible to run Kubernetes on local machines with tools such as Kubernetes in Docker (kind), minikube or MicroK8s. This allows developers to run their first experiments completely isolated from others and with low risk and low cost.
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Kubernetes Development Environments – A Comparison
Local Kubernetes clusters are clusters that are running on the individual computer of the developer. There are many tools that provide such an environment, such as Minikube, microk8s, k3s, or kind. While they are not all the same, their use as a development environment is quite comparable.
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Local Cluster vs. Remote Cluster for Kubernetes-Based Development
Since the developer is the only one who has to access this cluster for development, local clusters can be a feasible solution for this purpose. Over time, several solutions have emerged that are particularly made for running Kubernetes in local environments. The most important ones are Kubernetes in Docker (kind), MicroK8s, minikube and k3s. For a comparison of these local Kubernetes options, you can look at this post.
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The Journey of Adopting Cloud-Native Development
Another very important distinction of this level is that developers have direct access to Kubernetes for the first time. While it is not strictly necessary, the standard case for the Kubernetes access with these tools is to use a local Kubernetes cluster, i.e. a Kubernetes cluster started with tools such as minikube, kind or MicroK8s on the local computer of the developer.
k3s
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Linux fu: getting started with systemd
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.
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Nix is a better Docker image builder than Docker's image builder
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.
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15 Options To Build A Kubernetes Playground (with Pros and Cons)
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.
- FLaNK 25 December 2023
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K3s Traefik Ingress - configured for your homelab!
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.
- Best way to deploy K8s to single VPS for dev environment
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Single docker compose stack on multiple hosts. But how?
Kubernetes - k3s distribution
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Building a no-code Helm UI with Windmill - Part 1
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.
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Highly scalable Minecraft cluster
You should be familiar with Kubernetes and have set up a Kubernetes cluster. I recommend k3s.
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K3s – Lightweight Kubernetes
K3s' go.mod[0] is insane.
[0] https://github.com/k3s-io/k3s/blob/master/go.mod
What are some alternatives?
microshift - A small form factor OpenShift/Kubernetes optimized for edge computing
k0s - k0s - The Zero Friction Kubernetes
rancher - Complete container management platform
kubespray - Deploy a Production Ready Kubernetes Cluster
docker - Moby Project - a collaborative project for the container ecosystem to assemble container-based systems [Moved to: https://github.com/moby/moby]
Nomad - Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
kind - Kubernetes IN Docker - local clusters for testing Kubernetes
microk8s - MicroK8s is a small, fast, single-package Kubernetes for datacenters and the edge.
liqo - Enable dynamic and seamless Kubernetes multi-cluster topologies
Docker Compose - Define and run multi-container applications with Docker
minikube - Run Kubernetes locally
k9s - 🐶 Kubernetes CLI To Manage Your Clusters In Style!