This section covers different options to set up and run Kubernetes.
Different Kubernetes solutions meet different requirements: ease of maintenance, security, control, available resources, and expertise required to operate and manage a cluster.
You can deploy a Kubernetes cluster on a local machine, cloud, on-prem datacenter, or choose a managed Kubernetes cluster. You can also create custom solutions across a wide range of cloud providers, or bare metal environments.
More simply, you can create a Kubernetes cluster in learning and production environments.
If you’re learning Kubernetes, use the Docker-based solutions: tools supported by the Kubernetes community, or tools in the ecosystem to set up a Kubernetes cluster on a local machine.
|Minikube||CDK on LXD|
|kind (Kubernetes IN Docker)||Docker Desktop|
|IBM Cloud Private-CE (Community Edition)|
|IBM Cloud Private-CE (Community Edition) on Linux Containers|
When evaluating a solution for a production environment, consider which aspects of operating a Kubernetes cluster (or abstractions) you want to manage yourself or offload to a provider.
Was this page helpful?
Thanks for the feedback. If you have a specific, answerable question about how to use Kubernetes, ask it on Stack Overflow. Open an issue in the GitHub repo if you want to report a problem or suggest an improvement.