Certified Kubernetes Administrator (CKA)

Description:

This comprehensive course provides a deep dive into Kubernetes administration, covering all aspects of Kubernetes clusters, including installation, configuration, networking, storage, and security. Participants will learn how to configure and manage clusters in both test and production environments, troubleshoot common issues, and implement best practices. This bootcamp prepares participants for the CKA exam and provides hands-on experience with Kubernetes components, managing workloads, and networking configurations essential for Kubernetes administrators.

Duration: 5 Day 

Course Code: BDT397

Learning Objectives:

By the end of the training, participants will:

• Understand the architecture and components of Kubernetes clusters
• Deploy, configure, and manage Kubernetes clusters
• Work with Kubernetes networking and storage solutions
• Troubleshoot and manage workloads within Kubernetes
• Prepare for the Certified Kubernetes Administrator (CKA) exam

• Familiarity with Linux command-line operations
• Basic knowledge of containers (Docker recommended)
• Understanding of basic cloud and networking concepts

• This course is intended for IT professionals, DevOps engineers, system administrators, and cloud architects who want to become certified in Kubernetes administration. It is also suitable for individuals responsible for managing and deploying Kubernetes clusters in production environments.

Course Outline:

• 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

• 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

• 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

• 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

• 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

• 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

• • Troubleshooting Kubernetes:
    • Common cluster issues and diagnostic tools

• • 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

• • • 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