If you need a registry, you will need to deploy independently and connect it to your cluster.Ĭustomization is a double-edged sword. If you need to access the cluster’s services and not just test within it, you will need to create a particular configuration file and install a supported Ingress controller. KinD does not provide an easy way to set up an ingress. It is the Do It Yourself (DIY) version and, because of that, users might find that some pieces are missing or require separate assembly. It is a tool that allows you to configure it to run from one node cluster to several nodes. It is a tool to run clusters locally, focusing on development and CI.
KinD (Kubernetes in Docker) was the result of Kubernetes testing itself. Let me explain further and give a review of each one of them. Finally, after some hesitance, I tried k3d to find it very useful. KinD was the first one I tried before Minikube added their new driver. I know it sounds like Inception, but believe me! It was the easiest way to get started on a laptop with medium-level resources.Īt this time, the three main ways I have found to run Kubernetes on Docker are KinD, Minikube with the new docker driver, and K3d. I found the easiest way to achieve this would be by running Kubernetes on top of Docker. In my journey to make my Windows machine usable for development, I searched for options to remove the Kubernetes dependency of a Virtual Machine.
As a developer, you may care about Kubernetes because it is the defacto standard to deploy and manage containerized applications. It helps you manage microservices containers and makes them portable across clouds, including your laptop. This post will cover 3 of them to help you o get started with Kubernetes on your laptop just by using Docker.įirst of all, Kubernetes is an open source platform to manage workloads by abstracting the underlying infrastructure. Different projects began in recent years to make it easier to get started with Kubernetes in your computer and remove the dependency with VMs. In the past, running a Kubernetes cluster on your laptop required several servers to get started or running heavyweight Virtual Machines in your local environment.
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