Operating distributed storage, databases, and message brokers in production requires rigorous operational engineering. While stateless microservices can be rolled out and restarted with standard Kubernetes deployment primitives, stateful infrastructure systems manage persistent disk volumes, consensus quorum memberships, and active TCP client connections.

A single uncontrolled restart or misconfigured upgrade sequence can trigger cascading quorum loss, split-brain partitions, or catastrophic data rebalancing storms that saturate inter-rack network bandwidth.

This module covers:

  • Zero-Downtime Stateful Upgrades: Orchestrating canary deployments, Raft leadership transfers, and backward-compatible wire protocol migrations.
  • Graceful Decommissioning & Dynamic Rebalancing: Moving gigabytes of shard state across nodes with adaptive rate-limiting and backpressure.
  • Chaos Engineering & Production Runbooks: Designing game-day failure injection protocols to proactively validate fault isolation and automated failover.

What you will learn

  • Design zero-downtime rolling upgrade workflows for consensus-backed distributed clusters
  • Orchestrate safe partition leadership handoffs and graceful node decommissions
  • Implement stateful data rebalancing with concurrency throttling and backpressure safeguards
  • Develop automated chaos engineering runbooks and evaluate Mean Time to Detect (MTTD) and Recovery (MTTR)
STAGE TOPICS

Topics in this chapter