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Docker AND Kubernetes



Docker and Kubernetes are two of the most popular containerization platforms that are widely used for deploying, managing, and scaling applications in modern IT infrastructures. This 5-day training course will provide a comprehensive understanding of Docker and Kubernetes, along with practical examples of how to use them to deploy and manage containerized applications.

Course Objectives:

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

  • Understand the basics of containerization and Docker
  • Use Docker to create and manage container images
  • Deploy and manage containerized applications using Kubernetes
  • Scale and orchestrate containerized applications in Kubernetes
  • Monitor and troubleshoot containerized applications

Targeted Audience:

This course is designed for IT professionals who want to learn about containerization, Docker, and Kubernetes, including system administrators, network engineers, and IT managers.

Course Outlines:

Unit 1: Introduction to Containerization and Docker

  • Overview of containerization
  • Docker architecture and components
  • Docker installation and configuration
  • Docker images and containers
  • Docker networking and storage

Unit 2: Docker Image Management and Deployment

  • Creating Docker images
  • Managing Docker images and containers
  • Docker registries and repositories
  • Deploying Docker containers
  • Docker Compose

Unit 3: Introduction to Kubernetes

  • Overview of Kubernetes
  • Kubernetes architecture and components
  • Kubernetes installation and configuration
  • Kubernetes Pods
  • Kubernetes Services

Unit 4: Kubernetes Deployment and Scaling

  • Deploying applications in Kubernetes
  • Kubernetes Deployments and ReplicaSets
  • Kubernetes Scaling
  • Kubernetes ConfigMaps and Secrets
  • Kubernetes StatefulSets

Unit 5: Kubernetes Monitoring and Troubleshooting

  • Kubernetes Logging and Monitoring
  • Kubernetes Troubleshooting
  • Kubernetes Health Checks and Probes
  • Kubernetes Load Balancing
  • Best Practices for Docker and Kubernetes

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