Getting Started With Kubernetes
Chapter 1: Kubernetes Fundamentals
What is Container Orchestration
Kubernetes Architecture: The Control Plane
Kubernetes Architecture: The Worker Node
The Role of kubectl
Declarative vs. Imperative Management
Setting Up a Local Kubernetes Cluster
Hands-on Practical: Cluster Inspection
Chapter 2: Managing Pods
The Pod Abstraction
Writing a Pod Manifest in YAML
Single-Container and Multi-Container Pods
The Pod Lifecycle
Using kubectl for Pod Operations
Health Probes: Liveness and Readiness
Practice: Deploying and Inspecting Pods
Chapter 3: Workload Management with Controllers
Introduction to Kubernetes Controllers
ReplicaSets for Pod Availability
Deployments for Application Rollouts
Defining a Deployment Manifest
Executing Deployment Updates and Rollbacks
Inspecting Deployment Status
Hands-on Practical: Creating and Updating Deployments
Chapter 4: Networking in Kubernetes
The Kubernetes Networking Model
Introduction to Services
Service Types: ClusterIP, NodePort, and LoadBalancer
Defining a Service Manifest
Service Discovery within the Cluster
Exposing Services with Ingress
Hands-on Practical: Exposing an Application
Chapter 5: Configuration and Persistent Storage
Managing Configuration with ConfigMaps
Handling Credentials with Secrets
Kubernetes Storage Concepts
PersistentVolumes and PersistentVolumeClaims
Attaching Volumes to Pods
Practice: Injecting Configuration and Mounting a Volume
Single-Container and Multi-Container Pods
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- Pods, Kubernetes Authors, 2024 - Provides fundamental understanding of Pods as the smallest deployable unit in Kubernetes, covering single and multi-container structures and their shared resources.
- Volumes, Kubernetes Authors, 2024 - Explains how volumes enable data sharing and persistence within and between containers in a Pod, a mechanism essential for multi-container patterns like sidecars.
- Designing Distributed Systems: Patterns and Paradigms for Greenfield Applications, Brendan Burns, 2018 (O'Reilly Media) - Introduces essential cloud-native design patterns, including Sidecar, Adapter, and Ambassador, illustrating how they enable co-location of auxiliary processes with main applications within a shared environment like a Pod.