kind VS eks-anywhere

Compare kind vs eks-anywhere and see what are their differences.


Kubernetes IN Docker - local clusters for testing Kubernetes (by kubernetes-sigs)
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kind eks-anywhere
78 18
9,781 1,518
2.6% 2.2%
9.1 9.9
3 days ago 4 days ago
Go Go
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.


Posts with mentions or reviews of kind. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-18.
  • Automate All the Boring Kubernetes Operations with Python
    5 projects | | 18 May 2022
    # # kubectl apply -f # kubectl patch -n kube-system deployment metrics-server --type=json \ # -p '[{"op":"add","path":"/spec/template/spec/containers/0/args/-","value":"--kubelet-insecure-tls"}]' from kubernetes import client api_client = client.ApiClient(configuration) custom_api = client.CustomObjectsApi(api_client) response = custom_api.list_cluster_custom_object("", "v1beta1", "nodes") # also works with "pods" instead of "nodes" for node in response["items"]: print(f"{node['metadata']['name']: <30} CPU: {node['usage']['cpu']: <10} Memory: {node['usage']['memory']}") # api-playground-control-plane CPU: 148318488n Memory: 2363504Ki # api-playground-worker CPU: 91635913n Memory: 1858680Ki # api-playground-worker2 CPU: 75473747n Memory: 1880860Ki # api-playground-worker3 CPU: 105692650n Memory: 1881560Ki
    5 projects | | 18 May 2022
    # kind.yaml # apiVersion: kind: Cluster name: api-playground nodes: - role: control-plane - role: worker - role: worker - role: worker
  • Data streaming on MacOS: the easy way
    3 projects | | 11 May 2022
    If you prefer to use Kubernetes, you can find more information about K8s options for Redpanda here. For Linux, kind and minikube are the simplest ways to get running with Redpanda.
  • why was Compose on Kubernetes discontinued ! what to use instead !
    4 projects | | 3 May 2022
    You can use kind ( to run local kubernetes clusters and combine it with yaml manifests, helm charts, kustomize or carvel packages. Depending on your workflow and tooling.
  • to kube or not to kube?
    4 projects | | 23 Apr 2022
    I was using docker, too. Then start playing around with kind. Then started to use helm charts and create ones myself. Then I've built a k3s cluster with a Jetson nano as a master and 3x RPi 4 w/ 8GB RAM. Still using Kind on my workstation to test things.
  • Getting Started with minikube
    2 projects | | 23 Apr 2022
    If you ask me how to create a local Kubernetes cluster, I'll tell you Kind, minikube, and Kubeadm are all good choices. If you ask me which tool is the most recommended for beginners, my answer must be minikube or Kind. minikube is more powerful than Kind, and Kind is easier than minikube.
  • When, How and Where to use ClusterAPI (CAPI) and ClusterAPI for Azure (CAPZ)
    1 project | | 18 Apr 2022
    Similar to RepRap, CAPI uses a Kubernetes cluster to make more Kubernetes clusters. The easiest way is with Kubernetes IN Docker (KIND). As the name implies, it’s a Kubernetes cluster which runs as a Docker container. This is our starting point for what we call “Bootstrap Cluster”.
  • Is Docker + Kubernetes broken on windows?
    1 project | | 30 Mar 2022
    I haven't encountered too many issues here using Docker Desktop with WSL 2, but I don't use Docker Desktop's built in Kubernetes. Instead I use which runs Kubernetes in Docker.
  • Just joined a new team that works heavily with Kubernetes. Any advice on how to ramp up?
    2 projects | | 22 Mar 2022
    Download on your local machine, practice launching deployments, and create configmaps, secrets and services.
  • CNCF compliant solutions dashboard and a tip for newbies
    1 project | | 15 Mar 2022
    I found it while learning my way trough Kind. I really advise new comers to K8s to use Kind.


Posts with mentions or reviews of eks-anywhere. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-25.

What are some alternatives?

When comparing kind and eks-anywhere you can also consider the following projects:

minikube - Run Kubernetes locally

lima - Linux virtual machines, typically on macOS, for running containerd

nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...

k3s - Lightweight Kubernetes

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.

kubetest2 - Kubetest2 is the framework for launching and running end-to-end tests on Kubernetes.

k0s - k0s - The Zero Friction Kubernetes by Team Lens

k3d - Little helper to run CNCF's k3s in Docker

terraform-provider-proxmox - Terraform provider plugin for proxmox

devspace - DevSpace - The Fastest Developer Tool for Kubernetes ⚡ Automate your deployment workflow with DevSpace and develop software directly inside Kubernetes.

crossplane - Cloud Native Control Planes

tilt-extensions - Extensions for Tilt