DevOps Associate

Duration: 3 days – 21 hrs

 

Overview

The course is designed by  DevOps Subject Matter Experts to help you understand Devops concepts and work on tools, GitHub, Jenkins, SonarQube and Nexus.

 

Objectives

  • Ability to understand agile and DevOps
  • Understand various tool chain used n DevOps pipeline
  • Handson knowledge on tools GitHub,
  • Install and configure Jenkins and Jenkins plugins,
  • Write Jenkins pipeline script to automate, git clone, compile, unit test, package and deploy
  • Install and configure SonarQube
  • Install and configure nexus
  • Perform cucumber test automation
  • Perform owsap analysis
  • Create a complete CI/CD pipeline git commit and all tasks will be automated using

 

Course Content

  • Module 1: Course Overview
  • Module 1.1: Introduction to the course

 

Module 2: Understanding Docker

  • Module 2.1: Module Introduction
  • Module 2 .2: What is Virtualization
  • Module 2.3: what are Containers
  • Module 2.4: Containerization and virtualization differences
  • Module 2.5:  Case study: 100 developer environments
  • Module 2.6: difference between win and Linux containers
  • Module 2.7: Docker ecosystem and components

 

Module 3: Installing Docker

  • 3.1: Module Introduction
  • 3.3: Install Docker on centos 7

 

Module 4: Containers on Centos 7 Docker host

  • 4.1: Module Introduction
  • 4.2: Deploy, Login, exit container
  • 4.3: List, Start, Stop, restart containers
  • 4.4 where containers are stored
  • 4.5: working with container hostnames
  • 4.6 working on multiple containers
  • 4.7 Container stats and inspect
  • 4.8 Container networking
  • 4.9 Deleting containers

 

Module 5: Docker Images

  • 5.1: Module Introduction
  • 5.2: Introduction to Docker Images
  • 5.3: Docker hub – create your account
  • 5.4:  Explore and pull images from docker hub
  • 5.5: Docker commit Build and Push Your own image
  • 5.6: Launch container using your own image
  • 5.7: Build Your own image using dockerFIle

 

 Module 6 : Jenkins with docker pipeline

  • 6.1: Create a pipeline which will dockerise the application and deploy application on a docker container

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