A service is represented by an IP address. Users, either human or logical, interact with a cluster through Kubernetes services configured within the cluster. The worker nodes do the actual computing work by running containers that execute the computational logic. The control node manages the state of the cluster. There are two types of nodes in a cluster: A central controller node and worker nodes. A node can be a real or virtual computer. What is a multi-cluster Kubernetes architecture?Ī multi-cluster Kubernetes infrastructure is, as the name implies, a collection of Kubernetes clusters that can work together to fulfill a set of business requirements. What are the challenges that go with using a multi-cluster architecture?.Why would I want to use a multi-cluster architecture?.What is a multi-cluster Kubernetes architecture?.I'll do this by answering three questions: Also, I'll discuss a typical use case and examine some of the tradeoffs that the use cases present. Thus, in this article, I explain some high-level details for how a multi-cluster Kubernetes installation works. You need to know a thing or two about the details of implementing a multi-cluster Kubernetes infrastructure to create an enterprise architecture that's going to work for the business. Yet, as powerful and versatile as multi-cluster Kubernetes architectures are, they come with complexity and tradeoffs. And, in such cases, not only will the clusters be distributed over multiple datacenters, but those datacenters can be located anywhere on the planet. Sometimes those clusters are hosted in the same datacenter. Instead of running an application on a single cluster, the company expands and unifies its distributed architecture across multiple clusters. As a company's Kubernetes use matures, the next step is a multi-cluster implementation. Eventually, the company goes all-in and spins up a web-scale cluster that might have hundreds (if not thousands) of nodes in a single datacenter.īut the adoption path doesn't stop there.
Then it takes on some projects that are a bit bigger, requiring a cluster with more nodes. The adoption path for K8s is familiar: A company starts by experimenting with a cluster containing a small number of nodes. Try for 60 days: Red Hat OpenShift Dedicated.
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