kubectx
kind
kubectx | kind | |
---|---|---|
40 | 182 | |
16,933 | 12,767 | |
- | 0.8% | |
3.8 | 8.9 | |
17 days ago | 10 days ago | |
Go | 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.
kubectx
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Building a Kubernetes Operator with the Operator Framework
kubectx: brew install kubectx
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Jenkins Agents On Kubernetes
default is where any actions which require a namespace will go into if one is not explicitly defined in a default setup (tools such as kubens can alter this behavior). In the context of Jenkins, namespaces are a useful way to allow isolation of individual Jenkins instances that want to utilize the same Kubernetes cluster. Creation of a namespace is a simple option to kubectl:
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Tool to manage kubeconfig configurations
Here you go: https://github.com/ahmetb/kubectx and https://kubecm.cloud/
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Setting kubectl context via env var
check out kubectx/kubens https://github.com/ahmetb/kubectx very handy tool to permanently switch context/namespace
- Minikube broke my Kubectl config
- Managing local cluster config
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How to Deploy and Scale Strapi on a Kubernetes Cluster 1/2
kubectx + kubens v0.9.4
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[ANN] Kele: Snappy Kubernetes cluster management in Emacs
For a peek at what's currently possible, visit the documentation site, in particular the Usage section. For this initial release, it has feature parity with kubectx and kubens and that's about it, but there's lots of room for growth.
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Injecting secrets from Vault into Helm charts with ArgoCD
I also encourage you to install kubectx + kubens to navigate Kubernetes easily.
- What daily terminal based tools are you using for cluster management?
kind
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How to distribute workloads using Open Cluster Management
To get started, you'll need to install clusteradm and kubectl and start up three Kubernetes clusters. To simplify cluster administration, this article starts up three kind clusters with the following names and purposes:
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15 Options To Build A Kubernetes Playground (with Pros and Cons)
Kind: is a tool for running local Kubernetes clusters using Docker container "nodes." It was primarily designed for testing Kubernetes itself but can also be used for local development or continuous integration.
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Exploring OpenShift with CRC
Fortunately, just as projects like kind and Minikube enable developers to spin up a local Kubernetes environment in no time, CRC, also known as OpenShift Local and a recursive acronym for "CRC - Runs Containers", offers developers a local OpenShift environment by means of a pre-configured VM similar to how Minikube works under the hood.
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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.
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Mykube - simple cli for single node K8S creatiom
Features compared to https://kind.sigs.k8s.io/
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Hacking in kind (Kubernetes in Docker)
Kind allows you to run a Kubernetes cluster inside Docker. This is incredibly useful for developing Helm charts, Operators, or even just testing out different k8s features in a safe way.
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Choosing the Next Step: Docker Swarm or Kubernetes After Mastering Docker?
Check out KinD
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K3s – Lightweight Kubernetes
If you're just messing around, just use kind (https://kind.sigs.k8s.io) or minikube if you want VMs (https://minikube.sigs.k8s.io). Both work on ARM-based platforms.
You can also use k3s; it's hella easy to get started with and it works great.
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Two approaches to make your APIs more secure
We'll install APIClarity into a Kubernetes cluster to test our API documentation. We're using a Kind cluster for demonstration purposes. Of course, if you have another Kubernetes cluster up and running elsewhere, all steps also work there.
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observing logs from Kubernetes pods without headaches
yes I know there is lens, but it does not allow me to see logs of multiple pods at same time and what is even more important it is not friendly for ephemeral clusters - in my case with help of kind I am recreating whole cluster each time from scratch
What are some alternatives?
fzf-tab - Replace zsh's default completion selection menu with fzf!
minikube - Run Kubernetes locally
kubie - A more powerful alternative to kubectx and kubens
k3d - Little helper to run CNCF's k3s in Docker
kubeswitch - The kubectx for operators.
lima - Linux virtual machines, with a focus on running containers
kubecm - Manage your kubeconfig more easily.
vcluster - vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.
kubectl-neat - Clean up Kubernetes yaml and json output to make it readable
colima - Container runtimes on macOS (and Linux) with minimal setup
kubectl-trace - Schedule bpftrace programs on your kubernetes cluster using the kubectl
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...