Kubernetes Failure Recovery and Cluster Repair
Everything in a Kubernetes cluster is derivable from two things: the CA private keys and the etcd data. Once that model is internalised, every failure becomes answerable rather than terrifying. Every scenario lesson opens with an explicit verdict, recoverable, recoverable with loss, or unrecoverable, before a single command. Control plane disasters, etcd loss, lockouts, node and network failure, destructive actions, migrations, and the architecture that prevents all of it.
What you'll learn
Curriculum
11 modules · 55 lessonsThe Recovery Mental Model
The framework that makes every other module usable: what state is irreplaceable, how to triage, and the rules for not making it worse.
Control Plane Disasters
Losing control plane nodes, the Kubernetes directory, the CAs, and the static pod manifests, each with an explicit verdict.
etcd Disasters
The failures of the one component whose loss is not recoverable from anything else. Complements the etcd Operations course, which covers backup mechanics and performance troubleshooting in depth.
Access and Identity Lockouts
Locking yourself out of your own cluster, and the identity material whose loss invalidates everything downstream. Certificate expiry is covered in the Production Kubernetes Operations course.
Node Disasters
Nodes that die, nodes that will not come back cleanly, and nodes that will not let go of their workloads.
Networking Failures
The CNI, DNS, and service layers, each of which fails in a way that looks like everything being broken at once.
Storage and Data Loss
The layer where Kubernetes will not save you, and where the outcome was usually decided at StorageClass design time.
The Destructive Actions Catalogue
The commands that destroy more than they appear to, and the reference table for what each one actually takes with it.
Migrations Without Rebuilding
Planned operations with almost no good documentation anywhere: CNI migration, CIDR changes, runtime migration, and endpoint moves.
When to Rebuild
The honest assessment, what to salvage while access remains, and standing up the replacement without a second outage.
Preventing Permanent Data Loss
Every unrecoverable verdict in this course traces back to a decision made months earlier. This module is the answer to all of them.
About the Author
Sharon Sahadevan
AI Infrastructure Engineer
Building production GPU clusters on Kubernetes. H100s, large-scale model serving, and end-to-end ML infrastructure across Azure and AWS.
10+ years designing cloud-native platforms with deep expertise in Kubernetes orchestration, GitOps (Argo CD), Terraform, and MLOps pipelines for LLM deployment.
Author of KubeNatives, a weekly newsletter read by 3,000+ DevOps and ML engineers for production insights on K8s internals, GPU scheduling, and model-serving patterns.