DevOps

DevOps is a cultural and technical movement that aims to enhance collaboration between development (Dev) and operations (Ops) teams to streamline and automate the software delivery process. The goal of DevOps is to improve the efficiency, reliability, and speed of software development and deployment.

Course Outline

• Introduction to DevOps

  • What is DevOps?

    • Definition and history

    • DevOps principles and culture

    • Benefits and challenges of DevOps

  • DevOps Lifecycle

    • Overview of the DevOps lifecycle stages (Plan, Develop, Build, Test, Release, Deploy, Operate, Monitor)

• Core DevOps Concepts

  • Continuous Integration (CI)

    • Definition and benefits

    • CI pipeline concepts

    • CI tools and best practices

  • Continuous Delivery/Continuous Deployment (CD)

    • Difference between Continuous Delivery and Continuous Deployment

    • CD pipeline concepts

    • Deployment strategies (blue-green, canary, rolling updates)

  • Infrastructure as Code (IaC)

    • Principles of IaC

    • Benefits and challenges of IaC

    • Common IaC tools and frameworks (e.g., Terraform, Ansible, Puppet, Chef)

  • Configuration Management

    • Overview and best practices

    • Tools for configuration management

• Version Control Systems

  • Introduction to Version Control

    • Benefits and principles

  • Git Basics

    • Repositories, commits, branches, merges

  • Advanced Git

    • Rebasing, conflict resolution, branching strategies

  • Collaborative Workflows

    • Pull requests, code reviews

• CI/CD Pipelines

  • Building CI Pipelines

    • Setting up CI pipelines

    • Integration with version control systems

  • Building CD Pipelines

    • Automating deployments

    • Environment management (e.g., staging, production)

  • Pipeline Tools

    • Overview of popular CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI, Azure DevOps)

• Testing and Quality Assurance

  • Automated Testing

    • Types of automated tests (unit, integration, functional)

    • Testing frameworks and tools (e.g., JUnit, Selenium, Pytest)

  • Test Automation in CI/CD

    • Integrating tests into CI/CD pipelines

  • Test-Driven Development (TDD)

    • Principles and practices of TDD

• Containerization

  • Introduction to Containers

    • Benefits of containerization

    • Key concepts (images, containers, registries)

  • Docker Basics

    • Creating and managing Docker containers

    • Writing Dockerfiles

  • Docker Compose

    • Defining multi-container applications

  • Container Orchestration

    • Introduction to Kubernetes

    • Basics of deploying and managing containers with Kubernetes

• Infrastructure as Code (IaC)

  • Introduction to IaC

    • Benefits and use cases

  • Terraform Basics

    • Writing and managing Terraform configurations

    • Terraform state management

  • Configuration Management Tools

    • Ansible, Puppet, Chef

    • Writing and applying configuration scripts

• Monitoring and Logging

  • Monitoring Principles

    • Importance of monitoring and observability

  • Monitoring Tools

    • Overview of tools (e.g., Prometheus, Grafana, Nagios)

  • Logging Best Practices

    • Centralized logging solutions (e.g., ELK Stack, Splunk)

  • Setting Up Alerts and Dashboards

    • Configuring alerts and creating dashboards

• Security in DevOps

  • Introduction to DevSecOps

    • Integrating security into DevOps

  • Security Best Practices

    • Code scanning and vulnerability assessment

  • Tools and Techniques

    • SAST (Static Application Security Testing) and DAST (Dynamic Application Security Testing)

  • Compliance and Governance

    • Managing compliance and audit requirements

• Cloud Platforms and Services

  • Overview of Cloud Services

    • Benefits of cloud computing

    • Major cloud providers (AWS, Azure, Google Cloud)

  • Cloud Services for DevOps

    • CI/CD tools and services offered by cloud providers

    • Infrastructure management and automation in the cloud

• Automation and Scripting

  • Introduction to Scripting

    • Basics of scripting languages (e.g., Bash, PowerShell)

  • Automating Tasks

    • Writing scripts to automate repetitive tasks

  • Integrating Scripts with CI/CD Pipelines

    • Using scripts in build and deployment processes

• Practical Exercises and Labs

  • Hands-On Labs

    • Building and deploying a sample application using CI/CD pipelines

    • Setting up and managing infrastructure using IaC tools

    • Creating and managing Docker containers and Kubernetes clusters

  • Real-World Scenarios

    • Case studies and projects to apply learned concepts in realistic scenarios

Course Duration

The course will be held twice a week, with each session lasting 2 hours, over a period of 14-16 weeks. Content will be delivered via Zoom or Microsoft Teams.