Introduction

Google Kubernetes Engine (GKE) is a managed Kubernetes service provided by Google Cloud Platform (GCP) for deploying, managing, and scaling containerized applications using Kubernetes. Kubernetes, an open-source container orchestration tool, automates the deployment, scaling, and management of containerized applications. GKE abstracts away much of the complexity of managing Kubernetes clusters, offering a powerful platform to build and operate applications at scale. This course will explore how to set up and manage Kubernetes clusters using GKE, focusing on best practices, security, monitoring, and performance optimization.

Prerequisites

Before starting this course, participants should have:

• Basic understanding of cloud computing and Google Cloud Platform (GCP).
• Familiarity with containerization concepts, Docker, and Kubernetes.
• Some experience with command-line tools
• Familiarity with Linux-based operating systems and basic networking concepts.

Table of Contents

1. Introduction to Kubernetes and GKE
   1.1 What is Kubernetes?
   1.2 Key Benefits of Kubernetes
   1.3 Introduction to Google Kubernetes Engine (GKE)
   1.4 Components of a Kubernetes Cluster
   1.5 How GKE Simplifies Kubernetes Management
2. Setting Up Google Kubernetes Engine
   2.1 Creating a GCP Project
   2.2 Enabling GKE API and Setting Permissions
   2.3 Creating a GKE Cluster
   2.4 Configuring Kubernetes for GKE
   2.5 Exploring GKE Dashboard(Ref: Cloud DevOps with Google Cloud Platform: CI/CD and Automation)
3. Managing Kubernetes Clusters
   3.1 Viewing Cluster Information
   3.2 Scaling Clusters Up and Down
   3.3 Upgrading Kubernetes Versions on GKE
   3.4 Configuring Cluster Autoscaler
   3.5 Troubleshooting Cluster Issues
4. Deploying Applications on GKE
   4.1 Creating and Managing Namespaces
   4.2 Deploying Pods and Containers(Ref: )
   4.3 Creating Deployments and ReplicaSets
   4.4 Exposing Services: ClusterIP, NodePort, LoadBalancer
   4.5 Rolling Updates and Rollbacks
5. Advanced Kubernetes Features in GKE
   5.1 Configuring Horizontal Pod Autoscaling
   5.2 Using StatefulSets for Stateful Applications
   5.3 Implementing Persistent Storage with GKE
   5.4 Network Policies and Security Best Practices
   5.5 Configuring Secrets and ConfigMaps
6. Security in GKE
   6.1 Kubernetes Security Overview
   6.2 Role-Based Access Control (RBAC)
   6.3 Securing Container Images
   6.4 Using Google Cloud IAM with Kubernetes
   6.5 Best Practices for Cluster Security
7. Monitoring and Logging in GKE
   7.1 Enabling Stackdriver Logging and Monitoring
   7.2 Setting Up Alerts for GKE Resources
   7.3 Viewing and Analyzing Logs in Cloud Logging
   7.4 Visualizing Metrics in Cloud Monitoring
   7.5 Integrating with Prometheus and Grafana
8. Scaling Applications in GKE
   8.1 Horizontal Pod Autoscaling
   8.2 Vertical Pod Autoscaling
   8.3 Cluster Autoscaler for Node Scaling
   8.4 Load Balancing in Kubernetes
   8.5 Performance Tuning for Kubernetes Pods
9. Integrating GKE with Other Google Cloud Services
   9.1 Integrating GKE with Cloud Storage
   9.2 Using Cloud SQL and GKE for Database Backends
   9.3 Integrating GKE with Google Cloud Pub/Sub
   9.4 Using Cloud Build for CI/CD with GKE
   9.5 Deploying Serverless Workloads with GKE
10. Backup, Restore, and Disaster Recovery
    10.1 Setting Up Cluster Backups
    10.2 Restoring from Backup in GKE
    10.3 Implementing Disaster Recovery Best Practices
    10.4 High Availability in GKE
    10.5 Multi-Region GKE Deployment
11. Cost Management and Billing in GKE
    11.1 Understanding GKE Billing Models
    11.2 Estimating Costs for GKE Deployments
    11.3 Managing GKE Resource Consumption
    11.4 Best Practices for Cost Optimization
    11.5 Setting Up Budget Alerts and Monitoring Usage
12. Case Study: Deploying a Microservices Application on GKE
    12.1 Setting Up the Microservices Architecture
    12.2 Deploying Microservices on GKE
    12.3 Managing Service Discovery and Communication
    12.4 Implementing CI/CD Pipeline for GKE Deployment
    12.5 Scaling and Monitoring Microservices

Conclusion

This course provides a comprehensive understanding of managing Kubernetes with Google Kubernetes Engine (GKE) on Google Cloud Platform. GKE offers a robust and scalable solution for running containerized applications in production, with simplified cluster management, security, and integrations with other Google Cloud services. By the end of this course, you will be equipped with the knowledge to deploy, scale, secure, and optimize Kubernetes clusters on GKE, making it easier to build and manage complex containerized applications at scale.