In the previous chapter, we looked at monitoring your Kubernetes cluster, detecting problems at the node level, identifying and rectifying performance problems, and general troubleshooting.
In this chapter, we will dive into the topic of highly available clusters. This is a complicated topic. The Kubernetes project and the community haven't settled on one true way to achieve high-availability nirvana. There are many aspects to highly available Kubernetes clusters, such as ensuring that the control plane can keep functioning in the face of failures, protecting the cluster state in etcd, protecting the system's data, and recovering capacity and/or performance quickly. Different systems will have different reliability and availability requirements. How to design and implement a highly available Kubernetes cluster will depend on those requirements...
