k3s
k3d
k3s | k3d | |
---|---|---|
7 | 76 | |
15,937 | 5,079 | |
- | 1.0% | |
9.2 | 8.4 | |
about 3 years ago | 14 days ago | |
Go | Go | |
Apache License 2.0 | MIT License |
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.
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.
k3d
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15 Options To Build A Kubernetes Playground (with Pros and Cons)
K3D: is a lightweight distribution of Kubernetes designed for resource-constrained environments. It is an excellent option for running Kubernetes on virtual machines or cloud servers.
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Why You Should Use k3d for Local Development. A Developer's Guide
k3d is a lightweight wrapper that makes running Kubernetes (specifically, the lightweight k3s distribution) in Docker straightforward and efficient. It's designed to provide developers with a quick and easy way to test Kubernetes without the overhead of setting up a full cluster.
- Turning my laptop into a one-node k8s-cluster?
- Single node K8S distribution for little production
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Distributing containers to run locally?
If you customer prefers to run the standard docker engine you could use k3d
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Unable to launch older version (v2.6.8) of Rancher
You don’t need to run Rancher from a Kubernetes cluster, the rancher/rancher image works fine with Docker (it uses k3d, aka « k3s in docker » : https://k3d.io/).
- Blog: KWOK: Kubernetes WithOut Kubelet
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Building a RESTful API With Functions
K3d and Skaffold for local development
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Local Kubernetes Playground Made Easy
If you are a developer and want to learn how to deploy applications to a cluster, getting a cluster up an running can be a daunting task in it's own rights. There are many ways to do it: spinning up local virtual machines and configuring from scratch or using tools like minikube, etc. You may not care for the pain of setting up and configuring a cluster, and if that is you, then the quickest way that I have found is using k3d.
- Despliega un clúster de Kubernetes en segundos con k3sup
What are some alternatives?
minikube - Run Kubernetes locally
kind - Kubernetes IN Docker - local clusters for testing Kubernetes
devspace-plugin-loft - Loft Plugin for DevSpace - adds commands like `devspace create space` or `devspace create vcluster` to DevSpace
lima - Linux virtual machines, with a focus on running containers
cilium - eBPF-based Networking, Security, and Observability
k0s - k0s - The Zero Friction Kubernetes
multi-tenancy - A working place for multi-tenancy related proposals and prototypes.
k3sup - bootstrap K3s over SSH in < 60s 🚀
kubefwd - Bulk port forwarding Kubernetes services for local development.
k3s - Lightweight Kubernetes
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.
microk8s - MicroK8s is a small, fast, single-package Kubernetes for datacenters and the edge.