Master Docker and Kubernetes

• Overview of Container Tools
  • Introduction to containerization
  • Comparison of Docker, Containerd, and Crio
• Installing Docker Engine
  • Manual deployment of Docker CE on Ubuntu
  • Version check and troubleshooting
• Understanding Docker Engine
  • Basic introduction to Docker Engine
  • Differences between Virtual Machines and Containers

• Docker Architecture
  • Components: Docker daemon, Docker client, Docker registry
• Docker Objects
  • Images and Containers
  • Networking in Docker
  • Services in Docker
• Managing Docker Images and Containers
  • Docker image registries (Docker Hub, GitHub)
  • Pulling and pushing images
  • Container creation and sample application deployment
  • Best practices for working with images and containers

 Networking Concepts
o Overview of Docker networking
o Types of networks: host, bridge, null, overlay
 Storage in Docker
o Ephemeral vs. Persistent Storage
o Types of volume mounts: bind mount, volume mount, tempfs mount
o Backup and restore of images, containers, and application data

 Creating Custom Images
o Understanding Dockerfile parameters
o Developing custom images through Dockerfile
o Converting containers into images
o Storing images in a container registry
o Registry management (Docker Hub, GitHub)
 Docker Compose
o Introduction to Docker Compose
o Deployment of applications (e.g., Nginx, MySQL, WordPress)

 Kubernetes Overview
o Understanding Kubernetes components and responsibilities
o Overview of kube-apiserver, kube-controller-manager, kube-scheduler, etc.
 Cluster Deployment
o Deployment of a Kubernetes cluster using Kind or Kubeadm
o Setting up a three-node cluster (1 Master, 2 Workers)

 Pod Creation
o Creating single and multi-container Pods
o Sample application deployment using Nginx
o Static Pod deployment
 Resource Management
o Allocating CPU and memory resources
o Understanding ReplicationController and its use cases

 Replica Set vs. Replication Controller
o Differences and when to use each
o Advantages of using labels and selectors
 Deployment Objects
o Advantages of Deployments over Pods, RC, and RS
o Manual scaling and deployment strategies
o Rollouts, rollbacks, and rollout history

 Horizontal Pod Autoscaling (HPA)
o Deployment of metric server and testing HPA
 DaemonSet Objects
o Use cases and advantages of DaemonSets for monitoring
 StatefulSets
o Differences between stateful and stateless applications
o StatefulSet application deployment advantages

 Volume Management
o Understanding PersistentVolume, PersistentVolumeClaim, and StorageClass
o Static vs. Dynamic Volume provisioning
o Differences between ephemeral and persistent storage
 Kubernetes Services

o Exposing applications through different types of services (ClusterIP, NodePort,
LoadBalancer)
o Best practices for service configuration

 Secrets and ConfigMaps
o Handling sensitive data using Secrets
o Passing Secrets to Pods via environment variables and volumes
 Ingress Management
o Deploying Nginx Ingress Controller
o Creating Ingress rules for secure and non-secure communication
 Scheduling and Health Checks
o Types of scheduling: Node Name, Node Selector, Affinity, Anti-Affinity
o Health checks: Liveness and Readiness probes

 RBAC Authentication and Authorization
o Understanding user and service accounts
o Role and RoleBinding management
o ClusterRole and ClusterRoleBinding configuration

 Hands-on Lab Sessions
o Real-world application deployment scenarios
o Troubleshooting and optimizing Docker and Kubernetes environments
 Capstone Project
o Comprehensive project to demonstrate learned skills