This course is for anybody who wants to get started with DevOps:

As there are many tools & technologies in DevOps, it has become difficult for people to choose the right technologies.

This course starts from very basics of command line, hands on demonstrations of many tools & technologies.

Also most importantly it will show you how various technologies in DevOps work together by setting up your own projects.

Step 1

• Basics of Linux

• Server Management in Linux

• Vagrant

• Basics of networking

• Project

  • Vprofile Project Intro & Setup on VM’s

Step 2

• Bash Scripting

• Basics of scripting

• Variables, Conditions, Loops etc

• Automating day to day admin tasks

Step 3

• Cloud Computing Intro

• IAM

• Ec2 Instances, EBS Volumes, ELB

• S3

• Cloudwatch

• RDS

• Autoscaling

• Route53

• Project

  • AWS Cloud For Project Set Up Lift & Shift

  • Re-Architecting Web App on AWS Cloud [PAAS & SAAS]

Step 4

• Version control system = Git & GitHub

• Build Tools | Build & Test Java Code = Maven

• Continuous Integration Intro

• Jenkins

  • Jenkins as a Build Server

  • Jenkins Jobs | Build , Test, Deploy, Notify

  • Jenkins Master/Slave, Nexus, Sonarqube

  • Jenkins CI Pipeline

  • Jenkins Administration

• Project

  • Continuous Integration Using Jenkins, Nexus, Sonarqube & Slack

Step 5

• Python Scripting

• Basics of python programming

• vars, datatypes, conditions, loops, function, modules etc

• Pythons for automating OS tasks

Step 6

• Ansible Intro

• Ad Hoc commands

• Modules

• YAML into

• Playbooks

  • vars, conditions, loops,

  • handlers, templates etc etc etc

• Variables deep dive

• Roles

• Ansible for AWS

• Project

  • Continuous Delivery and Configuration Management [Jenkins plus Ansible]

Step 7

• AWS Part 2

• VPC in depth

• Log management and custom metrics

• Project

  • Vprofile on Beanstalk & RDS

  • Code Commit, Code Build & Code Pipeline

  • CI & CD on AWS Cloud for Vprofile Project

  • Beanstalk, RDS, CodePipeline etc

Step 8

• Docker Intro

• Understanding and Implementing Containers

  • Volumes, Network, logs etc

• Building Images for Vprofile project

• Docker compose to run vprofile multi containers

• Kubernetes Intro

• Kubernetes setup for production Env

• Kubernetes objects

  • Pods, Services, Controllers, Deployment

  • Replication, Autoscaling, Resource quotas, secret, configmap, namespace.

• Project

  • Vprofile Project deployment on Kubernetes

Step 9

• Terraform for AWS Cloud automation

Step 10

Project on GitOps