Read the full Article originally published by Cloud Native Computing Foundation (CNCF)
This is the second in a series of posts aimed at providing information on Kubernetes tooling (K8s) to IT, DevOps, and engineering teams that help support K8s deployments. These will not be deep dives into K8s architecture or extensive reviews of specific products: just the data needed to get teams started with the tools.
In the previous installment of this series, I reviewed some basic K8s support tooling including a local Kubernetes deployment solution K3d. In this article, I expand on three local Kubernetes solutions as these tools are critical for helping engineering and support teams test solutions on their workstations.
The three solutions I solution for are:
- K3d (Dockerized version of K3s https://k3s.io/)
- Minikube (Oldest localized Kubernetes cluster creation software VM based https://minikube.sigs.k8s.io/)
- Kind (Light-weight Dockerized Kubeadm https://kind.sigs.k8s.io/)
Running Kubernetes clusters on your local system opens up an enormous landscape of technology testing capabilities. Like me, I think once you look at the various local K8s cluster providers you will settle on a few for your work and personal uses, perhaps the ones above or some of the other solutions that I did not include in this introductory review.
Read the first article in this series “Kubernetes Tooling For TechOps And Support”. Enable your enterprise in Kubernetes and other DevSecOps practices. Learn More Contact Us