Introduction:
As organizations increasingly adopt containerized applications for faster, scalable, and efficient deployment, managing containers at scale becomes a significant challenge. Kubernetes, the leading container orchestration platform, enables the automation of deployment, scaling, and management of containerized applications. This course provides an in-depth understanding of Kubernetes and container orchestration concepts, equipping participants with the skills to deploy and manage containerized applications using Kubernetes, ensuring reliability, scalability, and efficient resource utilization.

Objectives:
By the end of this course, participants will be able to:

• Understand the fundamentals of containers, Docker, and container orchestration.
• Gain in-depth knowledge of Kubernetes architecture, components, and resource management.
• Deploy, manage, and scale containerized applications using Kubernetes.
• Automate the management of Kubernetes clusters using Helm and kubectl.
• Monitor and troubleshoot Kubernetes clusters and applications.
• Implement security and networking best practices in Kubernetes.
• Explore advanced Kubernetes features like persistent storage, auto-scaling, and custom controllers.

Who Should Attend?
This course is designed for system administrators, DevOps engineers, cloud architects, and developers who want to learn how to deploy, manage, and orchestrate containerized applications with Kubernetes. It is ideal for:

• DevOps engineers and IT professionals working with containerized applications.
• Cloud-native developers and microservices practitioners.
• System administrators looking to manage Kubernetes clusters.
• Professionals seeking to enhance their knowledge of container orchestration and Kubernetes.

Day 1: Introduction to Containers and Kubernetes

Morning Session:

• Introduction to Containers

  • What are containers? Benefits and use cases.
  • Docker: The most widely used container platform.
  • Creating and managing containers using Docker: Building, running, and sharing containers.
  • Docker vs. Virtualization: Key differences and use cases.

• Why Kubernetes?

  • The need for container orchestration in large-scale environments.
  • Kubernetes overview: Purpose, features, and advantages.
  • Comparing Kubernetes with other container orchestration platforms (e.g., Docker Swarm, Apache Mesos).
  • Key components of Kubernetes: Pods, services, deployments, replica sets.

Afternoon Session:

• Kubernetes Architecture

  • Understanding Kubernetes control plane and worker nodes.
  • Key components: API server, controller manager, scheduler, kubelet, and kube-proxy.
  • Kubernetes cluster management and configuration.
  • Introduction to kubectl: Command-line interface for Kubernetes.

• Hands-On Lab: Setting Up Docker and Kubernetes

  • Installing Docker and Kubernetes locally using Minikube.
  • Running the first container in Docker.
  • Setting up a basic Kubernetes cluster with Minikube and kubectl.

Day 2: Core Kubernetes Concepts and Deployments

Morning Session:

• Kubernetes Pods and Containers

  • What is a Pod? The smallest deployable unit in Kubernetes.
  • Creating and managing Pods in Kubernetes.
  • Multi-container Pods: Sidecar, ambassador, and adapter patterns.
  • Managing Pods with kubectl commands.

• Deployments in Kubernetes

  • Understanding Deployments, ReplicaSets, and Pods.
  • Creating, scaling, and updating applications with Deployments.
  • Rollbacks and version control in Kubernetes deployments.

Afternoon Session:

• Kubernetes Services and Networking

  • Introduction to Services: ClusterIP, NodePort, LoadBalancer, and ExternalName.
  • DNS and service discovery in Kubernetes.
  • Kubernetes networking model: Pod-to-Pod communication, Services, and Ingress controllers.
  • Understanding Ingress for routing external traffic to services.

• Hands-On Lab: Deploying Applications in Kubernetes

  • Creating a simple web application and deploying it as a Pod.
  • Exposing a Kubernetes service to external traffic using NodePort.
  • Scaling deployments using kubectl.

Day 3: Kubernetes Storage and Persistent Volumes

Morning Session:

• Kubernetes Volumes

  • Introduction to Kubernetes storage architecture.
  • Different types of Volumes: EmptyDir, hostPath, configMap, secret, and more.
  • Understanding Persistent Volumes (PVs) and Persistent Volume Claims (PVCs).
  • Storage Classes and dynamic provisioning in Kubernetes.

• StatefulSets and Stateful Applications

  • Introduction to StatefulSets: Managing stateful applications with persistent storage.
  • Managing databases and other stateful services using StatefulSets.

Afternoon Session:

• Kubernetes Configuration and Secrets Management

  • ConfigMaps and Secrets: Storing configuration data and sensitive information.
  • Using environment variables and configuration files for Kubernetes applications.
  • Best practices for handling secrets securely in Kubernetes.

• Hands-On Lab: Persistent Storage in Kubernetes

  • Creating and using Persistent Volumes and Persistent Volume Claims.
  • Deploying a stateful application (e.g., database) using StatefulSets.
  • Managing application configurations using ConfigMaps and Secrets.

Day 4: Scaling, Monitoring, and Troubleshooting in Kubernetes

Morning Session:

• Scaling Applications in Kubernetes

  • Horizontal Pod Autoscaling (HPA): Automatically scaling applications based on metrics.
  • Setting up resource requests and limits for Pods.
  • Cluster Autoscaling: Scaling nodes to handle workloads.
  • Running batch jobs and cron jobs in Kubernetes.

• Kubernetes Monitoring and Logging

  • Monitoring Kubernetes clusters with Prometheus and Grafana.
  • Setting up and viewing metrics from Pods, nodes, and applications.
  • Using Kubernetes logs for troubleshooting (kubectl logs, Fluentd, and ELK stack).
  • Monitoring network traffic and resource utilization in Kubernetes.

Afternoon Session:

• Troubleshooting Kubernetes Clusters
  • Debugging Pods and Services using kubectl commands.
  • Common Kubernetes issues and how to resolve them.
  • Kubernetes events and logs: Understanding error messages and resolving problems.
• Hands-On Lab: Scaling and Monitoring Kubernetes Applications
  • Scaling Pods and applications using HPA.
  • Setting up Prometheus and Grafana to monitor cluster and application metrics.
  • Troubleshooting common Kubernetes issues using kubectl and logs.

Day 5: Advanced Kubernetes Concepts and Best Practices

Morning Session:

• Helm: Kubernetes Package Management

  • Introduction to Helm: Managing Kubernetes applications using charts.
  • Installing, upgrading, and managing applications with Helm.
  • Helm best practices and use cases.

• Kubernetes Security

  • Role-Based Access Control (RBAC) in Kubernetes.
  • Network policies and security in Kubernetes.
  • Pod security policies and service accounts.
  • Securing applications with TLS, secrets management, and security best practices.

Afternoon Session:

• Custom Controllers and Operators in Kubernetes

  • Introduction to Kubernetes controllers and operators.
  • Building custom controllers to manage resources in Kubernetes.
  • Operator pattern for managing complex applications.

• Hands-On Lab: Helm and Kubernetes Security

  • Installing and managing an application using Helm.
  • Configuring RBAC and network policies for Kubernetes security.
  • Securing communication between services using TLS.