Course Outline:
Module 1: Introduction to Kubernetes and Cluster Architecture
- Overview of Kubernetes: History, architecture, and components
- Kubernetes Components:
- Master components (API Server, Scheduler, Controller Manager, etcd)
- Node components (kubelet, kube-proxy, container runtime)
- Cluster Architecture: Nodes, pods, namespaces, deployments, and services
- Installation Methods: kubeadm, kubectl, and minikube
- Hands-On Labs:
- Setting up a Kubernetes cluster using Minikube
- Exploring cluster components and architecture
- Understanding and creating namespaces
Module 2: Kubernetes Installation and Configuration
- Cluster Setup: Using kubeadm to install Kubernetes
- Configuring Networking for Kubernetes: CNI plugins, network policies, and service networking
- Control Plane and Node Management: Managing API server, scheduling, and configuring worker nodes
- Cluster Add-Ons: CoreDNS, metrics server, and dashboard installation
- Hands-On Labs:
- Setting up Kubernetes clusters using kubeadm
- Configuring Calico or Flannel for network policies
- Installing and configuring Kubernetes add-ons
Module 3: Workloads and Scheduling
- Managing Kubernetes Workloads:
- Pods, ReplicaSets, Deployments, and DaemonSets
- Configuring Jobs and CronJobs for scheduled workloads
- Advanced Scheduling:
- Node selectors, affinities, and anti-affinities
- Taints and tolerations to control pod placement
- Scaling and Self-Healing: Horizontal Pod Autoscaler and health checks
- Hands-On Labs:
- Deploying and managing Kubernetes workloads
- Configuring job automation with CronJobs
- Implementing node affinity and tolerations
Module 4: Networking in Kubernetes
- Kubernetes Networking Basics: Cluster IPs, NodePort, LoadBalancer, and Ingress
- Configuring Services and Ingress:
- Service types and DNS within clusters
- Ingress resources for managing external access
- Network Policies: Restricting traffic within Kubernetes with network policies
- Hands-On Labs:
- Creating services and exposing workloads
- Configuring Ingress to manage HTTP and HTTPS traffic
- Defining network policies to control pod communications
Module 5: Storage Management in Kubernetes
- Persistent Storage in Kubernetes:
- Persistent Volumes (PV) and Persistent Volume Claims (PVC)
- Configuring StorageClasses
- Dynamic Provisioning: Integrating with cloud storage providers (e.g., AWS EBS, GCE PD)
- Volume Types and Data Persistence: EmptyDir, hostPath, ConfigMaps, and Secrets
- Hands-On Labs:
- Configuring Persistent Volumes and Persistent Volume Claims
- Using ConfigMaps and Secrets to store sensitive data
- Integrating external storage for persistent data
Module 6: Security and Access Control
- Authentication and Authorization:
- Role-Based Access Control (RBAC) and service accounts
- API server access and security contexts
- Network Security: Pod security policies and enforcing isolation
- Kubernetes Secrets Management: Storing sensitive data securely
- Hands-On Labs:
- Configuring RBAC to manage access control
- Implementing pod security policies
- Using Secrets to manage sensitive information in applications
Module 7: Troubleshooting and Monitoring
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- Troubleshooting Kubernetes:
- Common cluster issues and diagnostic tools
Debugging workloads and node failures
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- Monitoring and Logging:
- Configuring Prometheus, Grafana, and the ELK stack
- Working with Kubernetes logs
- Hands-On Labs:
- Diagnosing and troubleshooting cluster issues
- Setting up Prometheus and Grafana for cluster monitoring
Module 8: Exam Preparation and Practice
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- CKA Exam Overview: Structure, domains covered, and scoring
- Preparation Tips and Resources: Time management, documentation, and practical tips
- Practice Labs and Mock Exams:
- OS-level troubleshooting and real-world cluster management scenarios
- Mock exam scenarios similar to CKA to test and reinforce learning
