Kubernetes for Developers (MEAP v14)

Kubernetes for Developers MEAP V14
Copyright
Welcome
Brief contents
Chapter 1: Kubernetes for Application Deployment
	1.1 Why Containers?
		1.1.1 Container Benefits
	1.2 Why Kubernetes?
		1.2.1 Composable Building Blocks
		1.2.2 Features and Benefits
		1.2.3 Kubernetes vs Platforms as a Service (PaaS)
		1.2.4 When (not) To Use Kubernetes
	1.3 Summary
Chapter 2: Containerizing Apps
	2.1 Building Docker Containers
		2.1.1 Developer Setup
		2.1.2 Running Commands in Docker
		2.1.3 Building our own Images
		2.1.4 Using Base Images
		2.1.5 Adding a Default Command
		2.1.6 Adding Dependencies
		2.1.7 Compiling Code in Docker
		2.1.8 Compiling Code with a Multi-stage Build
	2.2 Containerizing a Server Application
		2.2.1 Containerizing an Application Server
		2.2.2 Debugging
	2.3 Using Docker Compose for Local Testing
		2.3.1 Mapping Folders Locally
		2.3.2 Adding Service Dependencies
		2.3.3 Faking External Dependencies
	2.4 Summary
Chapter 3: Deploying to Kubernetes
	3.1 Kubernetes Architecture
		3.1.1 The Kubernetes Cluster
		3.1.2 Kubernetes Objects
	3.2 Deploying an Application
		3.2.1 Creating a Cluster
		3.2.2 Uploading your Container
		3.2.3 Deploying to Kubernetes
		3.2.4 The Podspec
		3.2.5 Publishing your Service
		3.2.6 Interacting with the Deployment
		3.2.7 Updating your Application
		3.2.8 Cleaning Up
	3.3 Declarative Commands
	3.4 Local Kubernetes Environments
		3.4.1 Docker Desktop’s Kubernetes Cluster
		3.4.2 Minikube
		3.4.3 Using your Local Kubernetes Cluster
	3.5 Summary
Chapter 4: Automated Operations
	4.1 Automated Uptime with Health Checks
		4.1.1 Liveness and Readiness Probes
		4.1.2 Adding a Readiness Probe
		4.1.3 Adding a Liveness Probe
		4.1.4 Designing Good Health Checks
		4.1.5 Rescheduling Unready Containers
		4.1.6 Probe Types
	4.2 Updating Live Applications
		4.2.1 Rolling Update Strategy
		4.2.2 Replacement Strategy
		4.2.3 Blue / Green Strategy
		4.2.4 Choosing a Rollout Strategy
	4.3 Summary
Chapter 5: Resource Management
	5.1 Pod Scheduling
		5.1.1 Specifying Pod Resources
		5.1.2 Quality of Service
		5.1.3 Evictions, Priority and Preemption
	5.2 Calculating Pod Resources
		5.2.1 Setting Memory Requests and Limits
		5.2.2 Setting CPU Requests and Limits
		5.2.3 Reducing Costs by Overcommitting CPU
		5.2.4 Balancing Pod Replicas and Internal Pod Concurrency
	5.3 Summary
Chapter 6: Scaling Up
	6.1 Scaling Pods and Nodes
	6.2 Horizontal Pod Autoscaling
		6.2.1 External Metrics
	6.3 Node Autoscaling & Capacity Planning
		6.3.1 Cluster Autoscaling
		6.3.2 Spare Capacity with Cluster Autoscaling
	6.4 Building Your App to Scale
		6.4.1 Avoiding State
		6.4.2 Microservice Architectures
		6.4.3 Background Jobs
	6.5 Summary
Chapter 7: Internal Services and Load Balancing
	7.1 Internal Services
		7.1.1 Kubernetes Cluster Networking
		7.1.2 Creating an Internal Service
		7.1.3 Service Discovery
	7.2 Ingress: HTTP(S) Load Balancing
		7.2.1 TLS
	7.3 Summary
Chapter 8: Node Feature Selection
	8.1 Node Feature Selection
		8.1.1 Node Selectors
		8.1.2 Node Affinity and Anti-Affinity
		8.1.3 Tainting Nodes to Prevent Scheduling by Default
		8.1.4 Workload Separation
	8.2 Placing Pods
		8.2.1 Building Highly Available Deployments
		8.2.2 Collocating Interdependent Pods
		8.2.3 Avoiding Certain Pods
	8.3 Debugging Placement Issues
	8.4 Summary
Chapter 9: Stateful Applications
	9.1 Volumes, Persistent Volumes, Claims and Storage Classes
		9.1.1 Volumes
		9.1.2 Persistent Volumes and Claims
		9.1.3 Storage Classes
		9.1.4 Single-pod Stateful Workload Deployments
	9.2 StatefulSet
		9.2.1 Deploying StatefulSet
		9.2.2 Deploying a Multi-Role StatefulSet
	9.3 Migrating/Recovering Disks
	9.4 Summary
Chapter 10: Background Processing
	10.1 Background Processing Queues
		10.1.1 Creating a custom task queue
		10.1.2 Signal Handling in Worker Pods
		10.1.3 Scaling Worker Pods
		10.1.4 Open Source Task Queues
	10.2 Jobs
		10.2.1 Running one-off tasks with Jobs
		10.2.2 Scheduling Tasks with Cron Jobs
	10.3 Batch task processing with Jobs
		10.3.1 Dynamic Queue Processing with Jobs
		10.3.2 Static Queue Processing with Jobs
	10.4 Liveness Probes for Background Tasks
	10.5 Summary
Chapter 11: GitOps: Configuration as Code
	11.1 Production and Staging Environments using Namespaces
		11.1.1 Deploying to our new namespace
		11.1.2 Syncing Mutations from the Cluster
	11.2 Configuration as Code the Kubernetes Way
	11.3 Rolling Out Safely
		11.3.1 Deployment Pipelines
	11.4 Secrets
		11.4.1 String-based (Password) Secrets
		11.4.2 Base64 Encoded Secrets
		11.4.3 File-based Secrets
		11.4.4 Secrets and GitOps
	11.5 Summary
Chapter 12: Securing Kubernetes
	12.1 Staying up to date
		12.1.1 Cluster and Node Updates
		12.1.2 Updating Containers
		12.1.3 Handling Disruptions
	12.2 Deploying Node Agents with DaemonSet
	12.3 Pod Security Context
	12.4 Non-Root Containers
	12.5 Admission Controllers
		12.5.1 Pod Security Admission
	12.6 Role-based Access Control (RBAC)
	12.7 Summary