Kubernetes

Haiyue
5min

Chapter 1: Introduction to Kubernetes Basics

Learning Objectives:

  1. Understand the origin and core value of Kubernetes
  2. Master the overall architecture and core components of Kubernetes
  3. Complete local Kubernetes environment setup
  4. Learn to use kubectl for basic operations

Brief Description: Start from scratch to learn Kubernetes, understand the importance of container orchestration, set up a local experimental environment, and master basic operations.

Chapter 2: Core Pod Concepts

Learning Objectives:

  1. Deeply understand Pod design philosophy and lifecycle
  2. Master Pod creation, viewing, and deletion operations
  3. Learn to configure multi-container Pods and Init containers
  4. Understand Pod resource limits and health checks

Brief Description: Pod is the smallest scheduling unit in Kubernetes. Mastering Pods is the foundation for understanding the entire Kubernetes system.

Chapter 3: Workload Controllers

Learning Objectives:

  1. Master the use of Deployments and rolling update strategies
  2. Understand the role and working principles of ReplicaSet
  3. Learn to use StatefulSet to deploy stateful applications
  4. Proficiently use DaemonSet and Job/CronJob

Brief Description: Controllers are the core of Kubernetes, responsible for ensuring applications run in the expected state.

Chapter 4: Service Discovery and Load Balancing

Learning Objectives:

  1. Master the four types of Services and their use cases
  2. Understand Kubernetes DNS and service discovery mechanisms
  3. Learn to configure Ingress for Layer 7 load balancing
  4. Proficiently configure network communication between services

Brief Description: Service and Ingress solve the network access problem for containerized applications and are key to production deployment.

Chapter 5: Configuration Management and Storage

Learning Objectives:

  1. Master the use of ConfigMap and Secret
  2. Understand PersistentVolume and PersistentVolumeClaim
  3. Learn to configure different types of storage backends
  4. Proficiently perform dynamic updates of application configurations

Brief Description: Configuration management and persistent storage are core requirements for enterprise applications moving to the cloud.

Chapter 6: Helm Package Management

Learning Objectives:

  1. Understand Helm’s design philosophy and core concepts
  2. Master the creation and use of Helm Charts
  3. Learn to use Helm to deploy and manage applications
  4. Proficiently perform Chart version management and rollbacks

Brief Description: Helm is Kubernetes’ package manager, greatly simplifying the deployment and management of complex applications.

Chapter 7: Monitoring and Logging

Learning Objectives:

  1. Master the Prometheus + Grafana monitoring solution
  2. Learn EFK/ELK log collection and analysis
  3. Understand Kubernetes native monitoring metrics
  4. Proficiently configure alerts and troubleshoot issues

Brief Description: Observability is a critical capability for ensuring stable production environment operations.

Chapter 8: Security and RBAC

Learning Objectives:

  1. Understand Kubernetes security model and threat analysis
  2. Master RBAC permission control configuration methods
  3. Learn to configure Pod security policies and network policies
  4. Proficiently perform security audits and vulnerability detection

Brief Description: Security is the top priority in enterprise-level Kubernetes deployments.

Chapter 9: CI/CD and GitOps

Learning Objectives:

  1. Master the integration of Kubernetes with CI/CD pipelines
  2. Learn to use ArgoCD to implement GitOps
  3. Understand continuous deployment strategies for containerized applications
  4. Proficiently implement automated releases and rollbacks

Brief Description: GitOps is the best practice for cloud-native application delivery.

Chapter 10: Production Environment Best Practices

Learning Objectives:

  1. Master production-grade Kubernetes cluster planning
  2. Learn high availability architecture design and disaster recovery solutions
  3. Understand resource management and cost optimization strategies
  4. Proficiently perform cluster upgrades and failure recovery

Brief Description: Apply learned knowledge to production environments and build enterprise-level container platforms.