Kubernetes - PV Reclaim Policies and Recovery
Observe the Delete and Retain reclaim policies in action, recover a Released PV by patching claimRef, and recover data by creating a new PV pointing to the same storage directory.
Materials by Kaloyan Preslavski
Explore tutorials, challenges, courses, and more published by this author.
Challenges by Kaloyan Preslavski
See all →Kubernetes - Dynamic Provisioning with StorageClass
Explore how the DefaultStorageClass admission controller injects storage classes, explicitly name a StorageClass, switch the cluster default, and inspect where local-path stores volumes on the node.
Submissions: 10/13
Kubernetes - PersistentVolume Static Binding Patterns
Learn the three static PV binding patterns - generic match, label selector, and bidirectional claimRef - then use a no-provisioner StorageClass with WaitForFirstConsumer to pin storage to a specific node.
Kubernetes - emptyDir Volumes: Sharing, Lifecycle, and Memory-Backed Storage
Use emptyDir volumes to share data between containers, understand the volume lifecycle across container restarts and pod deletion, and explore memory-backed ephemeral storage.
Kubernetes Pod Scaling: Horizontal Pod Autoscaler
Scale deployments automatically based on CPU utilization - and see why resource requests are a prerequisite for HPA to work.
Submissions: 17/24
Kubernetes Pod Scheduling: nodeSelector and Node Affinity
Start with nodeSelector for simple node targeting, then upgrade to node affinity for expressive matching that nodeSelector cannot handle.
Submissions: 26/30
Skill Paths by Kaloyan Preslavski
See all →Kubernetes Storage: From Ephemeral to Persistent
Four hands-on challenges covering the full storage stack. Start with emptyDir, move to dynamic provisioning with StorageClass, explore static PV binding patterns including label selectors, bidirectional claimRef, and topology-aware local volumes, then finish with PV reclaim policies and data recovery.
Explore Kubernetes Pod Scheduling
Nine hands-on challenges split into two sections. The resource section covers how requests, QoS classes, priority, and namespace quotas shape scheduling decisions. The placement section covers how affinity, topology spread, and dedicated nodes control where pods land. HPA closes the path by showing how requests drive autoscaling.