Certainly! Below is a structured list of 100 chapter titles that cover learning Kubernetes from beginner to advanced, progressing through core concepts, advanced configurations, security, monitoring, deployment strategies, and real-world applications.
- What is Kubernetes? An Introduction to Container Orchestration
- The Importance of Kubernetes in Modern Cloud-Native Applications
- Kubernetes Architecture: Nodes, Pods, and Clusters
- Kubernetes Components: API Server, Scheduler, Controller Manager
- How Kubernetes Manages Containers: The Pod Concept
- Setting Up Your First Kubernetes Cluster
- Installing Kubernetes on Local and Cloud Environments
- Exploring Kubernetes Control Plane and Worker Nodes
- Kubernetes Objects Overview: Pods, Deployments, Services
- Kubernetes Architecture: A High-Level Overview
- Pods: The Basic Unit of Kubernetes
- Kubernetes Services: Exposing and Managing Applications
- Deployments: Managing Application Lifecycles in Kubernetes
- Namespaces: Organizing and Isolating Resources
- ReplicaSets: Ensuring High Availability
- StatefulSets: Managing Stateful Applications
- DaemonSets: Running a Pod on Every Node
- Jobs and CronJobs: Running One-off or Scheduled Tasks
- Understanding Kubernetes Volumes
- Persistent Volumes and Persistent Volume Claims
- Kubernetes Networking: Overview and Key Concepts
- Service Discovery in Kubernetes: ClusterIP, NodePort, LoadBalancer
- Networking Policies: Controlling Traffic Between Pods
- DNS in Kubernetes: How Name Resolution Works
- Ingress Controllers and Resources for HTTP Routing
- Kubernetes Network Plugins: Flannel, Calico, and Cilium
- Load Balancing in Kubernetes: Internal and External Solutions
- Network Troubleshooting in Kubernetes
- Service Mesh: Introduction to Istio and Linkerd
- Kubernetes and Network Security Best Practices
¶ Part 4: Kubernetes Scheduling and Resource Management
- How Kubernetes Schedules Pods on Nodes
- Resource Requests and Limits: Managing CPU and Memory
- Kubernetes Affinity and Anti-Affinity Rules
- Taints and Tolerations: Controlling Where Pods Run
- Pod Priorities and Preemption
- Horizontal Pod Autoscaling
- Vertical Pod Autoscaling: Adjusting Pod Resources Dynamically
- Cluster Autoscaler: Scaling the Cluster Based on Demand
- Quality of Service (QoS) in Kubernetes
- Running GPU and High-Performance Workloads in Kubernetes
¶ Part 5: Kubernetes Storage and Persistent Data
- Kubernetes Storage Architecture: Volumes and Persistent Volumes
- Dynamic Provisioning with Storage Classes
- Configuring Network Attached Storage (NAS) in Kubernetes
- StatefulSets and Storage for Stateful Applications
- Backing Up and Restoring Kubernetes Data
- Volume Mounts: Adding Persistent Data to Pods
- Kubernetes Storage Solutions: Ceph, GlusterFS, NFS
- Cloud Provider Storage Solutions for Kubernetes
- Using CSI (Container Storage Interface) with Kubernetes
- Data Encryption in Kubernetes Volumes
- Kubernetes Security Overview
- Role-Based Access Control (RBAC) in Kubernetes
- Service Accounts and Permissions in Kubernetes
- Pod Security Policies (PSPs)
- Network Policies for Secure Communication
- Securing Kubernetes with Network Segmentation
- Kubernetes Secrets Management: Storing Sensitive Data
- Encryption at Rest and in Transit
- Audit Logging in Kubernetes
- Kubernetes Vulnerability Scanning with Kube-bench and Trivy
¶ Part 7: Kubernetes Monitoring and Logging
- Kubernetes Monitoring Overview: Key Metrics and Tools
- Setting Up Prometheus for Kubernetes Monitoring
- Grafana Dashboards for Kubernetes Insights
- Kubernetes Metrics Server: Resource Usage Tracking
- Integrating ELK Stack (Elasticsearch, Logstash, Kibana) with Kubernetes
- Centralized Logging with Fluentd
- Using kubectl for Debugging and Troubleshooting
- Setting Up Kubernetes Alerts and Notifications
- Application Performance Monitoring (APM) in Kubernetes
- Kubernetes Health Checks: Liveness and Readiness Probes
- Helm: Kubernetes Package Management
- Building Custom Helm Charts
- Kubernetes Operators: Automating Resource Management
- Kubernetes Custom Resources (CRDs) and Controllers
- Kubernetes Federation: Managing Multiple Clusters
- Kubernetes with Service Mesh: Istio Deep Dive
- Using Kubernetes for CI/CD Pipelines
- Kubernetes and Machine Learning Workloads
- Kubernetes for Big Data Applications
- Advanced Networking with Kubernetes and Istio
- Rolling Updates: Updating Applications Without Downtime
- Blue-Green Deployment in Kubernetes
- Canary Deployments in Kubernetes
- Using Kubernetes for Multi-Region and Multi-Cloud Deployments
- Kubernetes and GitOps: Continuous Deployment with ArgoCD and Flux
- Deploying Microservices in Kubernetes
- Managing State in Stateless and Stateful Applications
- Helm-based CI/CD for Kubernetes Deployments
- Serverless Frameworks in Kubernetes
- Blue-Green and Canary Deployments with Helm
- Scaling Kubernetes Clusters: Horizontal vs. Vertical Scaling
- Cluster Autoscaling for Cost and Performance Optimization
- Vertical Scaling of Pods for Large Applications
- Optimizing Kubernetes Performance for High Throughput Applications
- Handling Load Spikes in Kubernetes with Horizontal Pod Autoscaling
- Kubernetes Best Practices for Optimizing Resource Efficiency
- Serverless Containers with Kubernetes: Benefits and Challenges
- Capacity Planning and Forecasting in Kubernetes Environments
- Managing Kubernetes Cluster Costs
- Kubernetes Performance Tuning and Optimization
These chapters start with foundational topics such as Kubernetes components, pods, and services and progress through more advanced features like Helm, monitoring, security, scaling, and real-world deployment strategies. By following this comprehensive progression, learners will be able to gain both theoretical understanding and practical experience in deploying and managing Kubernetes clusters in production environments.