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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.
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Learning environment
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.
{{< table caption="Local machine solutions table that lists the tools supported by the community and the ecosystem to deploy Kubernetes." >}}
Production environment
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.
Some possible abstractions of a Kubernetes cluster are {{< glossary_tooltip text="applications" term_id="applications" >}}, {{< glossary_tooltip text="data plane" term_id="data-plane" >}}, {{< glossary_tooltip text="control plane" term_id="control-plane" >}}, {{< glossary_tooltip text="cluster infrastructure" term_id="cluster-infrastructure" >}}, and {{< glossary_tooltip text="cluster operations" term_id="cluster-operations" >}}.
The following diagram lists the possible abstractions of a Kubernetes cluster and whether an abstraction is self-managed or managed by a provider.
Production environment solutions
{{< table caption="Production environment solutions table lists the providers and the solutions." >}} The following production environment solutions table lists the providers and the solutions that they offer.
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