Kubernetes PV Capacity Planning for Stability & Cost

Learn how to effectively plan and manage capacity for Kubernetes Persistent Volumes (PVs) to ensure the stability and performance of your stateful applications while optimizing costs. This video delves into the critical importance of accurate PV capacity planning, highlighting the risks of under-provisioning (application failures, data loss) and over-provisioning (wasted resources). We'll cover understanding Persistent Volumes (PVs) and Persistent Volume Claims (PVCs), leveraging StorageClasses for dynamic provisioning, and implementing general best practices for capacity planning. Discover how to analyze storage needs for databases, web servers, and message queues, estimate initial capacity, and forecast long-term growth. We'll also discuss the significance of monitoring PV utilization, aligning with application performance requirements, and utilizing dynamic resizing to adapt to evolving storage demands. Achieve the optimal balance between meeting application needs and maximizing resource efficiency in your Kubernetes environment.