DevOps Foundation

Course Overview

DevOps is a set of practices that combines software development (Dev) and IT operations (Ops) to shorten the development lifecycle and deliver high-quality software continuously. The DevOps course provides an in-depth understanding of the principles, practices, and tools that enable effective collaboration between development and operations teams. This course covers essential topics such as continuous integration, continuous delivery, infrastructure as code, and containerization. Through a mix of theory and hands-on labs, you will gain the skills needed to implement DevOps practices in real-world environments.

Who is this course for

This course is ideal for:

- IT professionals

- system administrators

- developers

- QA and testing professionals

and anyone with some prior experience in IT who is interested in learning about DevOps practices and tools.

Key Benefits

- Obtain a comprehensive introduction to DevOps principles and practices, giving you a solid foundation in the field.

- Acquire hands-on experience with essential DevOps tools and techniques, preparing you for real-world application.

- Learn to automate and streamline development and operations processes, increasing your efficiency and productivity.

- Enhance your career prospects by gaining valuable DevOps skills that are in high demand in the industry.

Learning Objectives

By the end of this course, you will be able to:

- Understand DevOps principles and practices

- Design and implement continuous integration and continuous delivery (CI/CD) pipelines

- Use configuration management tools to effectively manage infrastructure

- Monitor and troubleshoot applications and infrastructure to ensure optimal performance

- Work with containers and orchestration tools to streamline deployment processes

Devops foundation

Format

Prerequisites

Course contents

Day 1: Introduction to DevOps and Continuous Integration

- DevOps principles and practices

- Benefits of DevOps and best practices

- DevOps culture and collaboration

- How DevOps lifecycle supports the Twelve-Factor App methodology

- Introduction to version control

- Basic Git commands and workflows

- Branching and merging strategies

- Collaborative development with Git

- Principles of continuous integration

- Overview of CI servers Jenkins, Gitlab Runners, and GitHub Actions

- Writing and running automated tests

- Integrating CI with version control

- Principles of continuous delivery

- Setting up a CD environment

- Strategies for deploying applications

- Rollbacks and version management

Day 2: Configuration Management

- Installing and configuring Jenkins

- Creating and running Jenkins jobs

- Using Jenkins plugins for CI

- Best practices for Jenkins configuration

- Overview and setup of GitHub Actions and Gitlab Runners

- Creating and configuring CI/CD pipelines

- Integrating with other development tools

- Best practices for efficient and effective CI/CD workflows

- Getting started with IaC concepts and benefits

- Terraform in action building your infrastructure

- Crafting and sustaining IaC

- IaC best practices and strategies

- Introduction to configuration management

- Overview and usage of tools like Ansible, Chef, and Puppet

- Writing and managing configuration scripts

- Automating configuration changes

Day 3: Configuration Management

- Building and managing Docker images

- Running CI/CD tasks inside Docker containers

- Best practices for Docker integration in DevOps workflows

- Using Docker Compose to manage Docker environments as infrastructure as code

- Writing basic Bash scripts

- Automating tasks with Bash scripts

- Integrating Bash scripts into CI/CD pipelines

- Best practices for using Bash in CI/CD

- Writing basic Python scripts

- Automating tasks with Python scripts

- Integrating Python scripts into CI/CD pipelines

- Best practices for using Python in CI/CD

- Understanding the importance of code quality

- Utilizing tools for static code analysis

- Integrating code analysis into CI/CD pipelines

- Setting up automated code analysis processes

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