Running Databases on Kubernetes: Operators, PVCs, and Multi‑Cluster

Kubernetes excels at stateless apps, but databases are stateful and must protect quorum, durability, and consistency. This video shows a practical blueprint: durable storage with EBS, Persistent Volume Claims for automatic re‑attachment, a custom operator to serialize risky changes, admission hooks to control infra‑driven evictions, and multi‑cluster deployments across Availability Zones to limit blast radius. Learn upgrade tactics, node‑replacement coordination, and how to tame tail latency with timeouts, replica reads, and stale reads so throughput stays high while consistency requirements are met.

What you’ll learn:

Stateless vs stateful on Kubernetes and why quorum matters

EBS + PVCs for fast recovery without data copy

Custom operator + admission hooks for serialized, safe replacements

Upgrade strategy with canaries and self‑managed clusters

Multi‑cluster across AZs: fault isolation, overprovisioning, and canary rollouts

Tail‑latency mitigations: read timeouts, replica reads, and stale reads

Chapters:
0:00 Intro
0:28 Stateless vs stateful and quorum
1:02 EBS + PVCs for durability and fast attach
1:36 Operator + admission hooks for safe replacement
2:05 Upgrades and canary strategy
2:28 Multi‑cluster across AZs
2:46 Tail‑latency fixes
2:58 Key takeaways

CTA
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Видео Running Databases on Kubernetes: Operators, PVCs, and Multi‑Cluster канала BazAI