Karmada: Multi-Cluster Kubernetes Orchestration

Shriira Press

Preface

Manage many Kubernetes clusters as one. Orchestrate, distribute, and fail over workloads across clouds and regions with Karmada.

Welcome to Karmada: Multi-Cluster Kubernetes Orchestration.

Karmada (Kubernetes Armada) is a multi-cluster and multi-cloud Kubernetes orchestration system — manage many clusters as one fleet, deploying and orchestrating applications across clusters from a single control plane. This free book teaches it from the ground up: the multi-cluster problem and what Karmada is, why organizations run many clusters and the management challenges, Karmada's architecture (the Kubernetes-compatible control plane and member clusters), registering clusters (Push vs Pull), propagation (distributing workloads with PropagationPolicy), cross-cluster scheduling (placement, spread constraints), overrides (per-cluster customization), multi-cluster services and networking (cross-cluster communication), failover and high availability (surviving cluster/region/cloud failures, disaster recovery), and operating Karmada in practice. Ten focused chapters with clear diagrams that demystify multi-cluster orchestration — turning many Kubernetes clusters into one resilient, globally-distributed, orchestrated fleet.

This title is part of the ShriIra library and is free to read in full, right here — our small contribution to making world-class knowledge easy to reach.

A note on reading it: open the Contents menu at the top of the reader to jump between chapters, use the Aa menu to set a comfortable text size, theme (light, sepia, or night), and single- or two-page layout. Your place is saved automatically, so you can always pick up where you left off.

We hope it serves you well.

— Shriira Press

Contents

  1. Chapter 1 — What Karmada Is
  2. Chapter 2 — The Multi-Cluster Problem
  3. Chapter 3 — Karmada's Architecture
  4. Chapter 4 — Registering Member Clusters
  5. Chapter 5 — Propagation: Distributing Workloads
  6. Chapter 6 — Cross-Cluster Scheduling
  7. Chapter 7 — Overrides and Per-Cluster Customization
  8. Chapter 8 — Multi-Cluster Services and Networking
  9. Chapter 9 — Failover and High Availability
  10. Chapter 10 — Operating Karmada in Practice
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