The Book of Kubernetes A Complete Guide to Container Orchestration

This hands-on guidebook to the inner workings of containers peels back the layers to provide a deep understanding of what a container is, how containerization changes the way programs run, and how Kubernetes provides computing, networking, and storage.

Containers ensure that software runs reliably no matter where it’s deployed, and Kubernetes lets you manage all of your containers from a single control plane. In this comprehensive tour of the open-source platform, each chapter includes a set of example scripts with just enough automation to start your container exploration with ease. Beginning with an overview of modern architecture and the benefits of orchestration, you'll quickly learn how to create containers; how to deploy, administer and debug Kubernetes clusters all the way down to the OS; and how container networking works at the packet level across multiple nodes in a cluster.

Alan Hohn is the Director for Software Strategy for Lockheed Martin. He has 25 years of experience as a Lockheed Martin Fellow, software developer, architect, lead, and manager. He has delivered real applications to production in Ada, Java, Python, and Go, amongst others, and has worked with Linux since the early 1990s. He has led multiple software teams in modernization efforts, incorporating cloud, microservice architecture, and containerization on complex programs. He is an Agile and DevSecOps coach and is an experienced trainer for Java, Ansible, containers, software architecture, and Kubernetes. Hohn has a degree in Computer Science from Embry-Riddle Aeronautical University, a Master's in Business Administration from the University of Minnesota, and a Master's in Industrial Engineering from the Georgia Institute of Technology.

Part I: Making and Using Containers
Chapter 1: Why Containers Matter
Chapter 2: Process Isolation
Chapter 3: Resource Limiting
Chapter 4: Network Namespaces
Chapter 5: Container Images and Runtime Layers
Part II: Containers in Kubernetes
Chapter 6: Why Kubernetes Matters
Chapter 7: Deploying Containers to Kubernetes
Chapter 8: Ovelay Networks
Chapter 9: Service and Ingress Networks
Chapter 10: When Things Go Wrong
Chapter 11: Control Plane and Worker Nodes
Chapter 12: Container Runtime
Chapter 13: Health Probes
Chapter 14: Limits and Quotas
Chapter 15: Persistent Storage
Chapter 16: Configuration and Secrets
Chapter 17: Custom Resources
Part III: Performant Kubernetes
Chapter 18: Affinity and Anti-Affinity
Chapter 19: Tuning Pods per Node
Chapter 20: Application Resiliency