DevOps Course Syllabus

This DevOps course syllabus in Chennai is designed for beginners and professionals who want practical DevOps training with real-time tools and cloud technologies.

Module 1: Introduction to DevOps

1.1 What is DevOps?

• Evolution of DevOps
• DevOps vs. Traditional IT Practices
• Benefits of DevOps

1.2 DevOps Lifecycle

• Continuous Development
• Continuous Integration
• Continuous Testing
• Continuous Deployment
• Continuous Monitoring

1.3 Case Study: DevOps Transformation in Enterprises

• How Netflix Adopted DevOps for CI/CD
• Facebook’s DevOps Culture

Module 2: Linux Fundamentals for DevOps

2.1 Linux Basics

• Linux Commands and File System
• Package Management (Yum, APT)
• User & Group Management

2.2 Shell Scripting for Automation

• Writing and Executing Shell Scripts
• Automating Tasks with Cron Jobs

2.3 Case Study: Automating Server Configurations using Shell Scripting

Module 3: Version Control with Git

3.1 Introduction to Git & GitHub

• Setting up Git
• Git Workflow (Clone, Commit, Push, Pull, Merge)

3.2 Branching and Merging Strategies

• Feature Branching
• Git Rebase vs. Merge

3.3 Case Study: How Open-Source Projects Use Git for Collaboration

Module 4: Continuous Integration with Jenkins

4.1 Introduction to Jenkins

• Setting Up Jenkins
• Understanding Jenkins Jobs

4.2 Building CI/CD Pipelines

• Jenkins Pipelines (Declarative vs. Scripted)
• Integration with GitHub

4.3 Case Study: Automating Deployment Using Jenkins in a Real-World Project

Module 5: Configuration Management with Ansible

5.1 Introduction to Configuration Management

• Ansible vs. Chef vs. Puppet
• Setting Up Ansible

5.2 Writing Ansible Playbooks

• YAML Basics
• Roles and Handlers in Ansible

5.3 Case Study: Managing Infrastructure at Scale Using Ansible

Module 6: Containerization with Docker

6.1 Introduction to Docker

• Containers vs. Virtual Machines
• Installing Docker & Running Containers

6.2 Docker Images & Networking

• Building Docker Images
• Docker Networking and Volumes

6.3 Case Study: How Spotify Uses Docker for Microservices

Module 7: Container Orchestration with Kubernetes

7.1 Introduction to Kubernetes

• Kubernetes Architecture
• Setting Up a Kubernetes Cluster

7.2 Managing Pods & Deployments

• Creating and Managing Deployments
• Kubernetes Services & Load Balancing

7.3 Case Study: Scaling Applications Using Kubernetes at Google

Module 8: Infrastructure as Code (IaC) with Terraform

8.1 Introduction to IaC

• Benefits of IaC
• Terraform vs. CloudFormation

8.2 Writing Terraform Scripts

• Terraform Configuration Files
• Managing AWS Resources with Terraform

8.3 Case Study: Automating Infrastructure Deployment for a Cloud Project

Module 9: Monitoring & Logging

9.1 Introduction to Monitoring

• Importance of Monitoring in DevOps
• Prometheus and Grafana Overview

9.2 Logging with ELK Stack

• Elasticsearch, Logstash, and Kibana
• Setting Up Centralized Logging

9.3 Case Study: Implementing Real-Time Monitoring in Production

Module 10: Security in DevOps (DevSecOps)

10.1 Security Best Practices

• Shifting Security Left in CI/CD
• Vulnerability Scanning with SonarQube

10.2 Implementing Security in DevOps Pipelines

• Container Security with Trivy
• Secret Management using Vault

10.3 Case Study: How Leading Enterprises Implement DevSecOps

Module 11: Cloud & DevOps Integration

11.1 DevOps on AWS, Azure, and GCP

• Overview of Cloud Providers
• Cloud DevOps Tools

11.2 Deploying Applications on AWS using DevOps

• AWS CodePipeline & CodeDeploy
• Kubernetes on AWS (EKS)

11.3 Case Study: How Netflix Leverages AWS for DevOps

Module 12: DevOps Best Practices & Real-World Implementation

12.1 DevOps Culture & Team Collaboration

• Implementing Agile & Scrum with DevOps
• SRE (Site Reliability Engineering)

12.2 Hands-on Capstone Project

• Building a Full-Scale CI/CD Pipeline
• Automating Infrastructure with Terraform & Ansible

12.3 Case Study: Successful DevOps Implementation in Fortune 500 Companies

Learn more about container orchestration using
Kubernetes
and cloud automation with
AWS DevOps.