1 — Kubernetes in Distributed Systems

Kubernetes

A book-shaped table of contents for Kubernetes: cloud-native foundations, the CKAD/CKA/CKS certification tracks, control-plane internals, platform tooling, multi-cluster architecture, and MAANG-level system design and interview prep — cross-linking the existing Prometheus, Observability, and Platform Engineering chapters instead of duplicating them.

4 — AI/ML Platforms on Kubernetes

Why GPU scheduling — bin-packing, MIG partitioning, gang scheduling for distributed training — is the hard problem in running ML workloads on Kubernetes, not container orchestration itself.

8 — Architecture Interview Case Studies

Why the strongest system-design interview answers name the failure mode they're trading against, not just the components drawn on the whiteboard.

7 — Designing Control Planes

Why every control plane is a distributed consensus problem in disguise — the API server and etcd exist to answer 'what is true right now' under concurrent writers.

3 — Event-Driven Platforms

Why event-driven platforms on Kubernetes trade request-response simplicity for the ability to absorb bursty load and isolate producer and consumer failure domains.