Multi-Cluster Kubernetes Part One: Defining Goals and Responsibilities

By Elly Obare

Developers who work in fast-paced environments face the risk of infrastructure sprawl in their VMs or servers. Even with the rise in containerized deployments on Kubernetes and other platforms, admins still must determine how to efficiently manage hundreds and thousands of clusters for various projects.

Common concerns for an organization’s project deployments include how to run multiple workloads and whether a cluster is large enough to handle the work.

A Kubernetes multi-cluster setup can solve these problems. Multi-cluster architecture is a strategy for spinning up several clusters to achieve better isolation, availability, and scalability. In this type of implementation, an application’s infrastructure is distributed and maintained across multiple clusters. Because this strategy can also make cluster management more difficult, it needs to be handled properly.

This article will give you an introduction to Kubernetes multi-cluster deployments.

What Is a Kubernetes Multi-Cluster Setup?

Kubernetes works with clusters to efficiently run and manage workloads.