Managing Pods distribution across a cluster is hard. Pod affinity and anti-affinity feature of Kubernetes allows some control of Pod placement. However, these features only resolve part of Pods distribution use cases.
What you'll learn?
Learn to use the topology spread constraints feature of Kubernetes to distribute the Pods workload across the cluster nodes for high availability and efficient cluster resource utilization.
Table of Contents
- Spin Multi-node Kubernetes Cluster using Kind
- Create kind cluster config with proper hostnames
- Spin up Kubernetes cluster
- Distribute Pods Evenly Across The Cluster
- What is Topology Spread Constraints and Specification?
- Deploy a simple app with topology spread constraints.
- Scale deployment to validate the distribution of pods
- Known limitations and workarounds
Learn to distribute the Pods evenly across the cluster for high availability and efficient cluster resource utilization.