Here’s a comprehensive list of 100 chapter titles for learning Google Kubernetes Engine (GKE) in the context of DevOps, ranging from basic Kubernetes concepts to advanced deployment, scaling, security, and automation strategies for CI/CD and cloud-native applications.
- Introduction to Kubernetes and GKE: Why Google Kubernetes Engine Matters in DevOps
- Setting Up GKE: A Step-by-Step Guide to Creating Your First Cluster
- Understanding Kubernetes Components: Pods, Nodes, and Clusters
- Exploring the GKE Dashboard: A Quick Tour of Google Cloud Console for Kubernetes
- Installing
kubectl: The Command Line Interface for GKE Cluster Management
- Working with GKE Clusters: Creating, Scaling, and Deleting Clusters
- Basic Kubernetes Concepts: Namespaces, Pods, and Deployments on GKE
- Deploying Your First Application on GKE: A Simple Web Service Example
- Introduction to GKE Nodes: Managing VM Instances in Your Cluster
- Scaling Kubernetes Pods in GKE with Horizontal Pod Autoscaling
- Understanding Kubernetes Services: Exposing Applications on GKE
- Managing Kubernetes Configurations with ConfigMaps and Secrets in GKE
- Persistent Storage in GKE: Using Google Cloud Persistent Disks with Kubernetes
- Accessing GKE Clusters: Using
kubectl to Manage Resources
- Setting Up Ingress Controllers in GKE for Application Routing
- Using GKE Managed Node Pools: Simplifying Cluster Node Management
- Cluster Autoscaler in GKE: Automatically Scaling Worker Nodes
- Introduction to Helm on GKE: Simplifying Kubernetes Application Management
- Deploying Multi-Tier Applications on GKE: Frontend, Backend, and Database
- How to Use Google Cloud Storage with Kubernetes on GKE
- Exploring Google Container Registry (GCR) for Storing Docker Images
- Configuring Google Cloud Monitoring and Logging for GKE Clusters
- Setting Up Google Cloud IAM for GKE Security and Access Control
- Introduction to Kubernetes Deployment Strategies in GKE
- GKE and Cloud Pub/Sub: Integrating Messaging with Kubernetes
- Understanding Kubernetes Networking: Services, Endpoints, and Network Policies on GKE
- Configuring Load Balancing in GKE with Google Cloud HTTP(S) Load Balancers
- Managing Kubernetes Secrets and Service Accounts on GKE for Secure Access
- Deploying Stateful Applications on GKE: Using StatefulSets for Data-Intensive Apps
- Using Helm Charts for Managing Complex Deployments in GKE
- Configuring Multi-Region and Multi-AZ Clusters in GKE for High Availability
- Exploring Google Cloud VPC and Kubernetes Network CNI in GKE
- Integrating GKE with Google Cloud SQL for Managed Database Services
- Automating GKE Cluster Management with Google Cloud Deployment Manager
- Setting Up Continuous Integration for GKE with Jenkins
- Using Cloud Build for Continuous Deployment to GKE
- Enabling Continuous Delivery with GKE and Spinnaker
- How to Manage Microservices on GKE: Best Practices and Patterns
- Monitoring Kubernetes Applications with Prometheus and Grafana on GKE
- Using GKE Autopilot Mode for Simplified Cluster Management
- Integrating GKE with Google Cloud Identity and Access Management (IAM)
- Working with Kubernetes RBAC on GKE: Managing Permissions and Roles
- Troubleshooting GKE Clusters: Common Issues and How to Resolve Them
- Implementing Blue-Green and Canary Deployments on GKE
- Using GKE with Cloud Functions for Serverless Workflows
- Managing and Scaling Machine Learning Workloads with GKE
- Using GKE to Deploy Microservices with Istio Service Mesh
- Working with GKE Custom Node Pools and VM Types for Resource Optimization
- Automating Kubernetes Resource Scaling with Vertical Pod Autoscaling on GKE
- Best Practices for Continuous Integration and Continuous Delivery with GKE and GitLab CI
- Advanced Networking in GKE: Implementing VPC Peering and Private Clusters
- Securing Your GKE Cluster: Best Practices for Cluster and Pod Security
- GKE with Kubernetes Network Policies: Isolating Services and Pods
- Managing Cluster Costs on GKE: Optimizing Node Pools and Resources
- Implementing Service Mesh with Istio on GKE: Advanced Traffic Management
- Automating Infrastructure with Terraform for GKE Cluster Provisioning
- Running Multi-Cluster Applications in GKE with GKE Connect and Anthos
- Configuring Google Cloud Armor for GKE Application Security
- Advanced Kubernetes Scheduling on GKE: Node Affinity, Taints, and Tolerations
- Managing Secrets in Kubernetes with Google Cloud Secret Manager on GKE
- Setting Up and Managing Kubernetes CronJobs in GKE for Automated Tasks
- Implementing GitOps with GKE: Managing Kubernetes Deployments with GitLab and ArgoCD
- Leveraging GKE with Kubernetes Operators for Advanced Resource Management
- Using GKE and Anthos to Manage Hybrid and Multi-Cloud Environments
- Advanced GKE Security: Network Encryption, Pod Security Policies, and KMS Integration
- Building and Managing Complex CI/CD Pipelines for GKE with Jenkins and ArgoCD
- Using Kubernetes with GKE for Disaster Recovery and High Availability
- Running Stateful Applications with Persistent Storage in GKE Using Google Cloud Storage and Filestore
- Integrating GKE with Cloud Pub/Sub for Real-Time Data Processing and Event-Driven Architecture
- Running Serverless Applications on GKE with Knative
- Advanced GKE Autoscaling: Cluster Autoscaler, Horizontal Pod Autoscaler, and Vertical Pod Autoscaler
- Using Google Cloud's BigQuery with GKE for Data Analytics Workloads
- Advanced Debugging and Logging in GKE: Using Stackdriver Logging and Monitoring
- How to Use GKE with Managed Kubernetes Tools: Cloud Run and Anthos Service Mesh
- Deploying Applications on GKE with Helm and Custom Helm Charts
- Integrating GKE with Google Cloud Storage for Data-Intensive Workloads
- Running GPU-Intensive Workloads on GKE: Deploying AI/ML Models
- Configuring Google Cloud Load Balancers for GKE: Advanced Setup and Traffic Distribution
- Using GKE with Google Kubernetes Engine on VMware (GKE on VMware)
- Monitoring and Observability on GKE with Google Cloud Monitoring and OpenTelemetry
- Building a Hybrid Cloud Architecture with GKE and Google Anthos
- Automating GKE Cluster Updates with Google Cloud Managed Updates
- Implementing Continuous Security with GKE: Vulnerability Scanning and Compliance
- GKE for Serverless Frameworks: Deploying Functions and Event-Driven Apps
- Understanding and Implementing Cloud-native Continuous Delivery on GKE with Jenkins X
- Managing GKE with GitOps: Versioning and Managing Infrastructure with Git Repositories
- Building and Deploying Multi-Tenant Applications on GKE
- Advanced CI/CD with GKE: Using GitHub Actions for Kubernetes Deployments
- Leveraging GKE’s Integration with Cloud Identity-Aware Proxy (IAP) for Access Control
- How to Use GKE with Kubernetes Horizontal Pod Autoscaler for Dynamic Workloads
- Implementing Advanced Multi-Cluster Management with Anthos and GKE
- Optimizing GKE Clusters for Machine Learning Workloads and Data Processing
- Configuring Cloud Pub/Sub and Cloud Functions with GKE for Event-Driven DevOps
- Best Practices for Monitoring and Observing GKE Clusters and Applications
- Implementing Distributed Tracing and Logging with OpenTelemetry on GKE
- Configuring and Managing Application Gateways in GKE for Microservices
- How to Perform Cost Optimization for GKE Clusters and Kubernetes Workloads
- Building Secure and Scalable Data Pipelines with GKE and Apache Kafka
- Advanced GKE Integration: Running Docker Swarm and Kubernetes Side by Side
- The Future of DevOps with GKE: Continuous Evolution and Kubernetes Innovation
These chapters cover everything from the fundamentals of GKE, such as basic deployments and cluster management, to advanced DevOps practices, including CI/CD, GitOps, automation, security, multi-cloud, and hybrid environments. This will enable you to efficiently manage and scale containerized applications using Google Kubernetes Engine in modern DevOps workflows.