microk8s
k3s
microk8s | k3s | |
---|---|---|
8 | 7 | |
6,539 | 15,937 | |
- | - | |
9.3 | 9.2 | |
almost 2 years ago | about 3 years 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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Kubernetes: Multi-cluster communication with Flomesh Service Mesh (Part 2)
In this demo, we will be using k3d a lightweight wrapper to run k3s (Rancher Lab’s minimal Kubernetes distribution) in docker, to create 4 separate clusters named control-plane, cluster-1, cluster-2, and cluster-3 respectively.
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Pipy: Protecting Kubernetes Apps from SQL Injection & XSS Attacks
To run the demo locally, we recommend k3d a lightweight wrapper to run k3s (Rancher Lab’s minimal Kubernetes distribution) in docker.
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When a node goes down, how long should k8s wait before migrating pods to other nodes?
I've been messing around with k8s (k3s) lately, and got to the "issue" of downtime/inconsistencies caused by one of multiple workers being down, who had pods running on them. I found a couple useful parameters here that helped me reduce the time needed to redeploy the old pods on other nodes, as well as stop sending requests to the NotReady node. But that got me thinking, how long should k8s wait before doing these things? Or is there perhaps a better option for increasing avaliability?
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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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Kubernetes: Virtual Clusters As Development Environments
With local Kubernetes environments such as minikube or k3s, developers can create their own Kubernetes clusters on their local computers. This often leads to developers struggling with the management and setup of these pared-down Kubernetes technologies that are also not completely realistic compared to “real-world”, cloud-based environments. The upside of this approach is that the developers have full control over their environment and can independently create it whenever they need it.
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[Recap] The API Hangout #31
K3d - a lightweight wrapper to run k3s in docker.
What are some alternatives?
microshift - A small form factor OpenShift/Kubernetes optimized for edge computing
minikube - Run Kubernetes locally
rancher - Complete container management platform
devspace-plugin-loft - Loft Plugin for DevSpace - adds commands like `devspace create space` or `devspace create vcluster` to DevSpace
k3s - Lightweight Kubernetes
cilium - eBPF-based Networking, Security, and Observability
docker - Moby Project - a collaborative project for the container ecosystem to assemble container-based systems [Moved to: https://github.com/moby/moby]
multi-tenancy - A working place for multi-tenancy related proposals and prototypes.
kind - Kubernetes IN Docker - local clusters for testing Kubernetes
kubefwd - Bulk port forwarding Kubernetes services for local development.
liqo - Enable dynamic and seamless Kubernetes multi-cluster topologies
fsm - Lightweight service mesh for Kubernetes East-West and North-South traffic management, uses ebpf for layer4 and pipy proxy for layer7 traffic management, support multi cluster network.