Advanced|9 hours|18 lessons

etcd Operations Masterclass

The complete production guide to etcd — the storage engine behind every Kubernetes cluster. Internals, sizing, backups, monitoring, disaster recovery, and the troubleshooting playbook for the failures that actually happen in production. If your cluster runs on etcd, this course keeps it running.

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One-time payment. Lifetime access.

Text-based, no videos

6 modules, 18 lessons

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What you'll learn

How Raft consensus actually works and why etcd needs an odd number of members

How Kubernetes stores objects under /registry/ and how to read etcd directly with etcdctl

How to size etcd correctly — quota-backend-bytes, database growth, when the 8GB default breaks

Why etcd demands fast disks and how fsync latency, WAL, and disk choice decide your stability

The tuning flags that matter — heartbeat-interval, election-timeout, snapshot-count

The correct backup procedure, verification, frequency, and storage strategy that actually survives disasters

The full restore procedure for stacked and external etcd — tested, documented, repeatable

The etcd metrics that predict failures: leader changes, fsync duration, peer RTT, database size

Emergency recovery from database-full, leader election storms, split-brain, and quorum loss

Safe rolling upgrades, stacked-to-external migrations, TLS rotation, and encryption at rest

Curriculum

6 modules · 18 lessons

How etcd Actually Works

The storage engine behind every Kubernetes cluster. Raft consensus, the data model, and how Kubernetes actually puts its objects on disk.

3 lessons

etcd as a Distributed Key-Value Store30 minFREE The Data Model30 minFREE How Kubernetes Stores Data in etcd30 minFREE

Sizing and Performance

How to size etcd for your cluster, what kind of disk it actually needs, and the tuning flags that matter in production.

3 lessons

Sizing etcd for Your Cluster30 min Disk I/O Requirements30 min Tuning etcd for Performance30 min

Backup and Restore

The knowledge that saves your career. Taking correct backups, verifying them, restoring under pressure, and building a disaster-recovery plan that actually works.

3 lessons

Taking Correct etcd Backups30 min Restoring etcd from Backup30 min Disaster Recovery Planning30 min

Monitoring and Alerting

The metrics and log patterns that predict etcd failures — and the alerts that actually fire in time to save you.

3 lessons

The etcd Metrics That Matter30 min Alerting on etcd Health30 min etcd Logs Decoded30 min

Troubleshooting Production etcd

The three most common production etcd emergencies — database full, leader election storms, and quorum loss — each with a recovery procedure you can follow under pressure.

3 lessons

The etcd Database Is Full30 min Leader Election Storms30 min Split-Brain and Quorum Loss30 min

Advanced etcd Operations

Upgrades, migrations, and the security hardening patterns every production etcd needs.

3 lessons

Upgrading etcd30 min Migrating etcd30 min etcd Security30 min

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.

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