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Simplicity
Kind is relatively easy to set up and use, making it a good tool for developers who want to quickly test Kubernetes clusters locally.
Lightweight
Since Kind operates with Docker containers to simulate Kubernetes nodes, it is lightweight and consumes fewer resources than using virtual machines.
Compatibility
Kind supports the latest versions of Kubernetes, enabling developers to test the newest features in a local environment before deploying to production.
CI/CD Integration
Kind can be easily integrated into CI/CD pipelines, allowing developers to automate testing of Kubernetes deployments in a controlled local environment.
Isolation
Because it uses containers, Kind allows for isolated Kubernetes environments which can be useful for testing without affecting live deployments.
Yes, Kind is considered a good tool for local Kubernetes cluster management, particularly for development and testing purposes.
We have collected here some useful links to help you find out if Kind is good.
Check the traffic stats of Kind on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Kind on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Kind's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Kind on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Kind on Reddit. This can help you find out how popualr the product is and what people think about it.
For a disposable local cluster, we use kind with Cilium installed separately. This is optional if there’s already a policy-capable cluster available. - Source: dev.to / 11 days ago
Kind — maximum prod parity; runs clusters as Docker "nodes," built to test Kubernetes itself, which is why the project uses it for its own CI (kind docs). - Source: dev.to / about 1 month ago
Runs end-to-end on a local multi-node kind Cluster and in CI on GitHub's free runners. Total cost: $0. - Source: dev.to / about 1 month ago
Kind — recommended. Creates a cluster using kind. Requires the containerd image store. Locally built images must be explicitly loaded into the cluster with kind load docker-image before Kubernetes can use them. - Source: dev.to / 3 months ago
What we need is a way to bootstrap a Kubernetes Cluster itself. Being in a docker-like environment the best option is a Kubernetes in Docker solution, Such as KinD or K3s. Both are available in Daggerverse and can be installed as external module to be reused. - Source: dev.to / 4 months ago
# .github/workflows/test.yml Name: Testes de integração On: [push, pull_request] Jobs: test: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Instalar kind e kubectl run: | curl -Lo ./kind https://kind.sigs.k8s.io/dl/v0.23.0/kind-linux-amd64 chmod +x ./kind && sudo mv ./kind /usr/local/bin/kind curl -LO... - Source: dev.to / 5 months ago
Before landing on the base image approach, my first assumption was that the Kubernetes cluster setup was the bottleneck - we use kind to run dependencies like PostgreSQL and NATS. I replaced kind with k3s. It saved 1–2 minutes, but nothing significant on its own. - Source: dev.to / 5 months ago
> kind create cluster Creating cluster "kind" ... ✓ Ensuring node image (kindest/node:v1.35.0) 🖼 ✓ Preparing nodes 📦 ✓ Writing configuration 📜 ✓ Starting control-plane 🕹️ ✓ Installing CNI 🔌 ✓ Installing StorageClass 💾 Set kubectl context to "kind-kind" You can now use your cluster with: Kubectl cluster-info --context kind-kind Not sure what to do next? 😅 Check out... - Source: dev.to / 7 months ago
I’ve been diving into Athenz, an open-source RBAC/ABAC platform, running it on a local Kubernetes (Kind) cluster. Everything was working great until I needed to test the approval workflow. - Source: dev.to / 8 months ago
Ready to try it out? Getting started with the operator is straightforward. You can use a local Kubernetes cluster such as minikube or kind and use Helm for installation. - Source: dev.to / 10 months ago
A Kubernetes cluster: Any cluster will do. For this tutorial, we're using a local cluster created with kind. - Source: dev.to / 11 months ago
KinD: This enables you to create a local cluster, and more specifically, you can specify the version of Kubernetes you’d like to run. - Source: dev.to / 12 months ago
I spent more than 8 hours wrestling with Kubernetes image credential provider plugins before finally stumbling upon the real solution. If you think this is as simple as dropping a config into Kind or Minikube think again. It doesn’t work that way, and I’d rather save you the wasted time I went through. - Source: dev.to / about 1 year ago
Yes, tools like Minikube, kind, and k3s create single-node clusters for development and testing. However, production Kubernetes is designed for distributed environments. Single-node deployments forfeit high availability, scalability, and fault tolerance benefits that justify Kubernetes complexity. - Source: dev.to / about 1 year ago
I needed a test bed for dumping all my wacky tools, horrible spaghetti code, and other OSS nonsense. Yes, I could use kind (https://kind.sigs.k8s.io/) on my own computer, but that would defeat some of the purpose of the things I'm doing: testing production-like environments, testing multi-node cluster things, testing for longer-term viability etc. Kind could probably do all these things, but where's the fun in... - Source: dev.to / over 1 year ago
Alternative: You may use minikube or kind if you prefer. - Source: dev.to / about 1 year ago
For the sake of simplicity l’ll show how to spin up two K8s clusters with kind, and use them in this demo. - Source: dev.to / about 1 year ago
Last step is starting the Kubernetes cluster. As I mentioned HariKube is transparent for Kubernetes, it works with Kubernetes out of the box, but supporting of large datasets requires recompiling Kubernetes API-Server and Controller-Manager. You can follow the guide how to do it here, but for simplicity in this tutorial we use Kind with vanilla Kubernetes. - Source: dev.to / over 1 year ago
For the installation of the ToolHive Operator, we’ve assumed there is already a Kubernetes cluster available with an Ingress controller. We have used Kind for this post as it is simple to set up, free and easy to use. - Source: dev.to / over 1 year ago
Before using Telepresence, we need to have a development cluster up and running. I recommend using kind but any Kubernetes distribution will work. - Source: dev.to / over 1 year ago
Let’s try it out. We’ll use the example YAML manifests available in the ToolHive GitHub repository. Before getting started, make sure you have access to a running Kubernetes cluster. If you want to avoid cloud costs, you can use a local setup like Kind, which lets you run Kubernetes clusters locally using Docker. - Source: dev.to / over 1 year ago
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Is Kind good? This is an informative page that will help you find out. Moreover, you can review and discuss Kind here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.