Docker & Kubernetes Online Training: Master Containers & Orchestration

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Docker & Kubernetes

Course Overview

The Docker & Kubernetes course is designed to provide comprehensive knowledge and hands-on experience with containerization and orchestration technologies. Docker simplifies the process of packaging and deploying applications within containers, while Kubernetes manages the orchestration of these containers, ensuring scalability, resilience, and efficient resource utilization. This course covers the fundamentals, best practices, and practical applications of Docker and Kubernetes in modern software development and deployment.

Description

The course begins with an introduction to Docker, explaining containerization concepts and the Docker ecosystem. Participants will learn how to create, manage, and deploy applications using Docker containers. Subsequently, the focus shifts to Kubernetes, covering container orchestration, scaling applications, managing deployments, and maintaining containerized environments. Hands-on labs and real-world scenarios will be explored to reinforce theoretical concepts and ensure practical proficiency.

Course Objectives

The primary objectives of the Docker & Kubernetes course are as follows:

Understanding Containerization: Provide a solid understanding of containerization concepts, Docker architecture, and container deployment.
Docker Basics: Familiarize participants with Docker commands, container creation, and Docker Compose for multi-container applications.
Container Orchestration: Introduce Kubernetes as a container orchestration platform and cover its key components and features.
Deployment and Scaling: Teach the deployment and scaling of applications using Kubernetes, ensuring optimal resource utilization.
Service Discovery and Load Balancing: Explore Kubernetes features for service discovery, load balancing, and managing application networking.
Configuration Management: Cover configuration management and the use of ConfigMaps and Secrets in Kubernetes.
Monitoring and Logging: Introduce monitoring and logging practices for containerized applications in Kubernetes environments.
Best Practices: Share best practices for designing, deploying, and managing applications in Docker and Kubernetes environments.

Prerequisites

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Course Curriculum

Run containers on Docker platform
Build images to run containers
Host private registries
Setup various networks to boot containers
Work with Docker Remote API
Manage a cluster of containers
Set up Continuous Integration with Docker

Introduction

What is a Docker
Use case of Docker
Platforms for Docker
Dockers vs Virtualization

Architecture

Docker Architecture.
Understanding the Docker components

Installation

Create organization

Add yourself and node to organization
Test Node Setup

Installing Docker on Linux.
Understanding Installation of Docker on windows.
Some Docker commands.
Provisioning

Docker Hub

Downloading Docker images.
Uploading the images in Docker Registry and AWS ECS
Understanding the containers
Running commands in container
Running multiple containers.

Custom Images

Creating a custom image.
Running a container from the custom image.
Publishing the custom image.

Docker Networking

Accessing containers
Linking containers
Exposing container ports
Container Routing

Docker Compose

Installing The Docker compose
Terminology in Docker compose
Build word press site using Docker compose

Docker swarm Concept
Note : Real Time Project Scenarios , Integrating docker with Jenkins , How to push docker images to Amazon ECS directly using docker tool.

Introduction to container Orchestration.
Kuberneters (Minikube)
Overview of Kubernetes and setup on Linux (AWS cloud).
Kubernetes Cluster configuration
Monolithic and Microservices Architecture.
Understanding Kubernetes components and what is clustering.
Introduction to YAML and Json formats.
Creating and deep dive into Pods, Replication Controller, ReplicaSet, Service, Deployments, Secrets, Config Maps, DaemonSet.
Storage Volumes, HostPath, emptyDir.
Static and Dynamic Persistent Volumes.
POD life cycle, Load balancing and Scaling of PODS and working with Labels and its importance.
Rolling updates and Rolling back of Deployments.
Kubernetes Volumes.
Persistence Volumes, Claims, Dynamic provisioning.
Discussion and usage of Helms
Pods monitoring using Prometheus and Grafana dashboards.
Kubernetes Integration with Jenkins
Realtime scenarios.

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Who can learn this course

This course is suitable for a diverse range of individuals, including:

DevOps Engineers: Professionals involved in the development and operations lifecycle, aiming to streamline application deployment and management.
Software Developers: Those looking to containerize and deploy applications consistently across different environments using Docker and Kubernetes.
System Administrators: Individuals responsible for maintaining and scaling applications in production environments.
IT Operations Professionals: Those interested in automating deployment, scaling, and management of containerized applications.
Cloud Architects: Professionals designing cloud-native applications and leveraging containerization and orchestration for scalability.
Students and Enthusiasts: Individuals keen on acquiring skills in containerization and orchestration for modern software development practices.

The Docker & Kubernetes course is designed to cater to both beginners and professionals with some prior knowledge, offering a comprehensive understanding of these technologies for efficient and scalable application deployment.