Why Persistent Storage Matters For Running Stateful Workloads In Kubernetes
Datacore, Monday, September 8th, 2025
The storage evolution driving Kubernetes adoption into its next era
When Kubernetes first appeared on the scene, it was built around a simple but powerful idea: treat your applications as stateless. If a container died, Kubernetes would start a new one somewhere else in the cluster, and life would go on. This worked brilliantly for microservices that didn't need to remember anything from one request to the next.
But then reality knocked on the cluster door. The business world runs on data: order histories, user profiles, financial transactions, product inventories, logs, analytics. These workloads aren't stateless; they depend on keeping and accessing the same data over time. Suddenly, Kubernetes needed to figure out how to handle applications where 'just restart it' could mean losing terabytes of critical information.