Have you tried https://kind.sigs.k8s.io/? If so, how does it compare to k3s for testing? - Source: Hacker News / 2 days ago
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:. - Source: dev.to / 3 months ago
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. - Source: dev.to / 3 months ago
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. - Source: dev.to / 4 months ago
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,... - Source: dev.to / 5 months ago
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. - Source: dev.to / 6 months ago
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. - Source: Hacker News / 7 months ago
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. - Source: dev.to / 8 months ago
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. Source: 9 months ago
Unit tests were written against an in-memory Kubernetes API server using the controller-runtime/pkg/envtest library. Envtest allowed us to iterate quickly since we could run tests against a fresh API cluster that started up in around 5 seconds instead of having to spin up a new cluster every time we wanted to run a test suite. Even existing micro-cluster tools like Kind could not get us that level of performance.... - Source: dev.to / 9 months ago
A Kubernetes distribution: You need to install a Kubernetes distribution to create the Kubernetes cluster and other necessary resources, such as deployments and services. This tutorial uses kind (v0.18.0), but you can use any other Kubernetes distribution, including minikube or K3s. - Source: dev.to / 9 months ago
If your cluster's not called demo in your KUBECONFIG file, you need to change the value passed to the --cluster flag earlier. You can retrieve the list of clusters available in your file by running kubectl config get-clusters. (For example, if you are using a kind cluster with its default naming, the cluster name would be kind-kind). - Source: dev.to / 9 months ago
In the following steps, we use a local Kubernetes cluster (such as kind) to test the image. With the cluster up and running, let's install some tooling to help us with image scanning. In this case, we're using KubeClarity. Follow the installation instructions in the README to install it into your development cluster. - Source: dev.to / 10 months ago
A pre-existing Kubernetes 1.23+ Cluster (You can spin up a local cluster using minikube or kind.). - Source: dev.to / 11 months ago
That’s basically kind with external nodes. Source: 11 months ago
Others on this site are more experienced than I, but: there does exist tooling for local replication of a k8s cluster (one example is kind, but in general a 'real' Kubernetes cluster isn't going to be easy to replicate locally. More than a few services will simply overload your machine, and in general production clusters are maintained by a full time team and aren't available to be replicated by single developers... Source: 11 months ago
One thing you could try is "kind" - https://kind.sigs.k8s.io - it allows you to stand up a kubernetes cluster via docker (kubernetes in docker). I've not used it, but have it on my list of things to try for local kubernetes experimentation. Source: 11 months ago
You basically start by downloading kind, then tilt. Then create a kind cluster with the provided configuration in the tilt repo. Then run tilt up and that's it. You'll have a fully functional Kubernetes cluster and project running complete with deployments and services. Nothing too fancy, no RBAC, no network policies etc.. Just the bare minimum to get you up and running. Source: 11 months ago
You don't need a full k8s cluster. Just startup kind cluster in your CI and test against it. Source: about 1 year ago
I tend to delegate most of the coding work to juniors on my team because it's easier, more rewarding, and the consequences of mistakes are less severe. But in terms of actually doing the infra/integration work -- IMO most important thing is having as good a local version of the staging/prod environments as possible. You need a pretty accurate mental model of how the various services *actually* talk to each other,... Source: about 1 year ago
For the following instructions, we are using Kind—a tool for running local Kubernetes clusters using Docker container nodes. If you haven't installed Kind yet, please follow these instructions. - Source: dev.to / about 1 year ago
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