Kubernetes Course Outline
Course Title: Mastering Kubernetes: Container Orchestration for Modern Applications
Course Duration: 6 Weeks (12 Sessions, 2 Sessions per Week)
Course Objectives
Understand the fundamentals of Kubernetes and container orchestration.
Learn how to deploy, manage, and scale containerized applications using Kubernetes.
Gain hands-on experience with Kubernetes objects, networking, storage, and security.
Explore advanced topics like Helm, Operators, and Kubernetes in production environments.
Prepare for real-world Kubernetes usage in DevOps and cloud-native applications.
Week 1: Introduction to Kubernetes and Container Orchestration
Session 1: What is Kubernetes?
Overview of container orchestration
Kubernetes architecture: Master Node, Worker Nodes, and Components (API Server, etcd, Scheduler, Controller Manager, Kubelet, Kube-proxy)
Kubernetes vs other orchestration tools (Docker Swarm, Mesos)
Installing Kubernetes: Minikube, kubeadm, and managed Kubernetes services (EKS, GKE, AKS)
Session 2: Kubernetes Basics
Understanding Kubernetes objects: Pods, Deployments, Services
Using kubectl to interact with Kubernetes clusters
Deploying your first application on Kubernetes
Debugging and troubleshooting Kubernetes applications
Week 2: Kubernetes Core Concepts
Session 3: Pods and Containers
Understanding Pods and their lifecycle
Multi-container Pods and sidecar patterns
Resource requests and limits
Pod scheduling and affinity/anti-affinity rules
Session 4: Deployments and StatefulSets
Managing application deployments with Deployments
Rolling updates and rollbacks
Stateful applications with StatefulSets
DaemonSets for node-specific workloads
Week 3: Kubernetes Networking and Storage
Session 5: Kubernetes Networking
Kubernetes networking model
Services: ClusterIP, NodePort, LoadBalancer, and ExternalName
Ingress controllers and routing
Network policies for securing traffic
Session 6: Kubernetes Storage
Persistent Volumes (PVs) and Persistent Volume Claims (PVCs)
Storage Classes and dynamic provisioning
ConfigMaps and Secrets for configuration management
Stateful applications and data persistence
Week 4: Kubernetes Security and Advanced Features
Session 7: Kubernetes Security
Understanding Kubernetes security risks
Role-Based Access Control (RBAC)
Securing Pods with Security Contexts and Pod Security Policies (PSPs)
Network policies and encryption
Session 8: Advanced Kubernetes Features
Autoscaling: Horizontal Pod Autoscaler (HPA) and Cluster Autoscaler
Custom Resource Definitions (CRDs) and Operators
Kubernetes API and extending Kubernetes
Monitoring and logging with Prometheus, Grafana, and EFK stack
Week 5: Kubernetes Ecosystem and Tools
Session 9: Helm and Package Management
Introduction to Helm and Helm charts
Deploying applications with Helm
Creating and managing custom Helm charts
Helm best practices
Session 10: Kubernetes in CI/CD Pipelines
Integrating Kubernetes with CI/CD tools (Jenkins, GitLab CI, ArgoCD)
GitOps and declarative deployments
Continuous deployment strategies for Kubernetes
Best practices for Kubernetes in DevOps
Week 6: Kubernetes in Production and Real-World Use Cases
Session 11: Kubernetes in Production
High availability and disaster recovery
Backup and restore strategies for Kubernetes clusters
Managing multi-cluster environments
Cost optimization and resource management
Session 12: Kubernetes Best Practices and Case Studies
Kubernetes best practices for scalability and performance
Monitoring, logging, and alerting in production
Case studies: Kubernetes in real-world scenarios
Preparing for Kubernetes certifications (CKA, CKAD)
Additional Resources
Hands-on labs and exercises
Quizzes and assignments
Recommended reading and documentation
Final project: Deploy and manage a production-grade application on Kubernetes
Prerequisites
Basic understanding of containerization (Docker)
Familiarity with Linux command line and networking concepts
Basic knowledge of cloud computing (AWS, GCP, Azure)
Target Audience
Developers
DevOps Engineers
System Administrators
IT Professionals
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