Deploying Kubernetes Using KinD
One of the largest obstacles to learning Kubernetes is having enough resources to create a cluster for testing or development. Like most IT professionals, we like to have a Kubernetes cluster on our laptops for demonstrations and for testing products in general.
Often, you may have a need to run a multiple node cluster, or multiple clusters for a complex demonstration or testing, such as a multi-cluster service mesh. These scenarios would require multiple servers to create the necessary clusters, which, in turn, would require a lot of RAM and a hypervisor.
To do full testing on a multiple cluster scenario, you would need to create multiple nodes for each cluster. If you created the clusters using virtual machines, you would need to have enough resources to run the virtual machines. Each of the machines would have an overhead including disk space, memory, and CPU utilization.
But what if you could create a cluster using just containers? Using...
