DevOps Course Structure

DevOps

Module 1: What is DevOps?

• Definition of DevOps
  • Overview of DevOps philosophy
  • Key principles and practices
• History and Evolution of DevOps
  • Origins of DevOps
  • Evolution from Agile and Lean methodologies

Module 2: Why DevOps?

• Benefits of DevOps
  • Faster delivery and time-to-market
  • Improved collaboration between teams
  • Enhanced quality and reliability of software
  • Increased efficiency and productivity
• Business Impact
  • Case studies demonstrating the value of DevOps
  • Metrics for measuring success in DevOps

Module 3: DevOps Tools

• Overview of Tool Categories
  • Version Control Systems (e.g., Git)
  • Continuous Integration and Continuous Deployment (CI/CD) tools (e.g., Jenkins, GitLab CI)
  • Configuration Management (e.g., Ansible, Chef, Puppet)
  • Containerization (e.g., Docker, Kubernetes)
  • Monitoring and Logging (e.g., Prometheus, ELK Stack)
• Tool Demonstrations
  • Practical examples of using selected tools

Module 4: Differences Between Traditional Methodologies and DevOps Approach

• Traditional Software Development Methodologies
  • Waterfall model and its limitations
  • Agile methodologies overview
• Key Differences
  • Collaboration and communication
  • Deployment frequency and feedback loops
  • Role of automation
• Cultural Shift
  • Importance of a DevOps culture
  • Breaking down silos between development and operations

Module 5: Big Picture of CI/CD DevOps Delivery Pipeline

• Understanding CI/CD
  • Definitions of Continuous Integration, Continuous Delivery, and Continuous Deployment
• CI/CD Pipeline Overview
  • Stages of the pipeline: Build, Test, Release, Deploy, Monitor
  • Automation in each stage
• Real-world CI/CD Examples
• Case studies showcasing CI/CD in action
• Best practices for implementing a CI/CD pipeline

Operating System & Linux Basics

Module 1: Introduction to Operating Systems

• Definition and Role of Operating Systems
  • Understand what an operating system (OS) is.
  • Explore the main functions of an OS: managing hardware, software resources, and providing services for computer programs.
• Types of Operating Systems
  • Differentiate between desktop, server, real-time, and embedded operating systems.
• Components of an OS
  • Learn about the kernel, shell, and user interface.

Module 2: Introduction to Virtual Machines

• Understanding Virtual Machines
  • Define virtual machines (VMs) and their purpose in virtualization.
• Benefits of Using Virtual Machines
  • Discuss resource efficiency, isolation, and ease of testing environments.
• Hypervisors Overview
  • Explore Type 1 (bare metal) vs. Type 2 (hosted) hypervisors.

Module 3: Linux File Systems

• File System Structure
  • Understand the hierarchy of Linux file systems and the directory structure.
• Common Linux File Systems
  • Learn about ext4, XFS, and Btrfs.
• Navigating the File System
  • Familiarize with essential directories like /home, /etc, and /var.

Module 4: Introduction to Command Line Interface (CLI)

• What is CLI?
  • Understand the advantages of using the command line over graphical interfaces.
• Basic Shell Concepts
  • Introduction to different shell types (e.g., Bash, Zsh) and basic command prompt usage.

Module 5: Basic Linux Commands

• File Management Commands
  • Learn how to use commands like ls (list), cp (copy), mv (move), rm (remove), and mkdir (make directory).
• System Information Commands
  • Understand commands such as top (task manager), ps (process status), df (disk space), and free (memory usage).
• Networking Commands
  • Use commands like ping (test connectivity), ifconfig (network interface configuration), and netstat (network statistics).

Module 6: Package Manager - Installing Software in Linux

• Overview of Package Management
  • Learn about the role of package managers in installing, updating, and removing software.
• Common Package Managers
  • Explore APT (Debian/Ubuntu) and YUM/DNF (Red Hat/CentOS).
• Basic Package Management Commands
  • Practice installing, updating, and removing software using commands.

Module 7: Vim Text Editor

• Introduction to Vim
  • Understand the basics of the Vim text editor and its modes (Normal, Insert, Visual).
• Basic Navigation and Editing
  • Learn how to open files, edit text, save changes, and exit Vim.
• Advanced Features
  • Familiarize with searching, replacing text, and configuring Vim settings.

Module 8: Users and Permissions

• Understanding Linux Users and Groups
  • Learn about user accounts, group management, and types of users (admin, regular).
• File Permissions and Ownership
  • Understand read, write, and execute permissions and how to change them.
• Managing Users and Permissions
  • Use commands like useradd, chmod, and chown to manage users and file permissions.

Version Control System - Git

Module 1: Introduction to Version Control Systems (VCS)

• What is Version Control?
  • Definition and purpose of VCS.
• Types of VCS
  • Overview of Centralized Version Control Systems (CVCS) and Distributed Version Control Systems (DVCS).

Module 2: What is Git?

• Introduction to Git
  • Definition and key features.
• Git Architecture
  • Basic components of Git (repository, index, working directory).

Module 3: Git Installation

• Installation on Windows and Linux
  • Step-by-step installation process for both operating systems.

Module 4: Basic Git Commands

• Essential Git Commands
  • git init, git status, git add, git commit.

Module 5: Working with Git

• Creating a Repository
  • Steps to create a new Git repository.
• Cloning a Repository
  • How to clone an existing repository.
• Committing Changes
  • Making and documenting changes to the repository.

Module 6: Remote Operations

• Fetching and Pulling
  • Difference between git fetch and git pull.
• Managing Remote Repositories
  • Basic commands to add and manage remotes.

Module 7: Branching in Git

• Branching Strategy
  • Importance of branching and common strategies.
• Creating, Switching, and Merging Branches
  • Commands for git branch, git checkout, and git merge.

Module 8: Advanced Git Commands

• Git Reset
  • Understanding git reset and its usage.
• Git Rebase
  • Overview and use cases for git rebase.
• Git Stash
  • How to temporarily store changes with git stash.

Module 9: Working with GitHub

• Introduction to GitHub
  • Overview of GitHub as a platform for hosting Git repositories.
• Basic GitHub Operations
• Pushing changes, creating pull requests, and managing repositories.
  

Build Automation Tool - Maven

Module 1: Introduction to Maven

• What is Maven?
  • Definition and purpose of Maven in project management.
• Key Features of Maven
  • Dependency management, project lifecycle, and build automation.

Module 2: Installing Maven

• System Requirements
  • Overview of prerequisites for installation.
• Installation Steps
  • Step-by-step instructions for installing Maven on Windows and Linux.
• Verifying Installation
  • How to check if Maven is installed correctly (mvn -v).

Module 3: Working with Maven Goals and Plugins

• Understanding Maven Goals
  • Explanation of common Maven goals (e.g., clean, compile, package, install).
• Using Maven Plugins
  • Introduction to popular plugins and their configurations (e.g., Surefire, Compiler).

Module 4: Hands-On with Maven

• Creating a Maven Project
  • Steps to create a new Maven project using the archetype.
• Building a Project
  • Executing Maven commands to build and manage the project.
• Managing Dependencies
• Adding dependencies in pom.xml and understanding transitive dependencies.

Continuous Integration - Jenkins

Module 1: Introduction to Jenkins

• What is Jenkins?
  • Definition and purpose of Jenkins in CI/CD.
• Continuous Integration with Jenkins
  • Overview of CI principles and how Jenkins facilitates them.

Module 2: Setting Up Jenkins

• Java Installation and Configuration
  • Steps to install Java and configure environment variables.
• Exploring the Jenkins Dashboard
  • Overview of the Jenkins user interface and key features.

Module 3: Job Management in Jenkins

• Creating Jobs in Jenkins
  • How to create different types of jobs (freestyle, pipeline).
• Running the Jobs
  • Executing jobs and understanding the output.
• Disabling and Deleting Jobs
  • Managing jobs effectively.

Module 4: Configuring Jenkins

• Setting Up Global Environment Variables
  • Configuring environment variables for jobs.
• Adding and Updating Plugins
  • Managing plugins to enhance Jenkins functionality.
• Plugin Management in Jenkins
  • Best practices for plugin installation and updates.

Module 5: Authorization and Security

• Different Authorization Strategies in Jenkins
  • Overview of authorization models.
• RBAC Strategy in Jenkins
  • Implementing Role-Based Access Control.

Module 6: Best Practices and Notifications

• Best Practices for Jenkins
  • Tips for effective use of Jenkins in CI/CD workflows.
• Triggering Email Notifications
  • Setting up email notifications for job statuses.

Module 7: Job Scheduling and SCM Integration

• Scheduling Jobs Automatically
  • Configuring job schedules.
• Poll SCM and Web Hooks
  • Integrating Jenkins with source control systems.

Module 8: Building and Deploying with Jenkins

• Compile, Test, and Deploy Jobs
  • Setting up jobs for build, test, and deployment.
• Building a Delivery Pipeline with Maven
  • Creating a pipeline for a Java Maven project.
• Creating a Complete Pipeline in Jenkins
  • Step-by-step creation of a CI/CD pipeline.

Module 9: Jenkins Architecture

• Master-Slave Architecture
  • Understanding the Jenkins architecture.
• Adding Windows and Linux Slaves
  • Configuring slave nodes and running jobs on different environments (Windows and Linux EC2 instances).

Module 10: Advanced Jenkins Features

• Pipeline and Multibranch Jobs
  • Creating pipeline and multibranch jobs for advanced CI/CD workflows.
• Pipeline as Code with Jenkinsfile
  • Writing and using Jenkinsfiles with Groovy scripts.

Module 11: Deployment to AWS

• Deploying to EC2 Instance on AWS
  • Setting up a Jenkins pipeline to deploy applications to AWS EC2 instances.

Conclusion

• Recap of key Jenkins concepts and configurations.
• Recommendations for further learning and resources.

This outline provides a comprehensive and organized structure for learning Jenkins in the context of Continuous Integration, focusing on practical applications and configurations.

Containerization Using Docker

Module 1: Introduction to Docker

• What is Docker?
  • Overview of Docker and its significance in modern development.
• What is a Container?
  • Definition and purpose of containers in software deployment.

Module 2: Containerization vs. Virtualization

• Containerization vs. Virtualization
  • Key differences between containerization and virtualization technologies.
• Docker Containers vs. VMs
  • Comparison of Docker containers and traditional virtual machines.

Module 3: Docker Fundamentals

• Docker Images
  • Understanding the concept of Docker images and their role.
• Docker Architecture
  • Overview of Docker's architecture, including components like the Docker Engine.

Module 4: Setting Up Docker

• Docker Installation on Linux
  • Step-by-step guide to installing Docker on a Linux system.
• Understanding Docker Components
  • Overview of key Docker components: Daemon, Client, Images, Containers.

Module 5: Working with Docker

• Working with Images
  • How to pull, build, and manage Docker images.
• Docker Containers
  • Creating, starting, stopping, and removing containers.
• Docker Networking
  • Overview of Docker networking concepts and configurations.

Module 6: Docker Files and Data Persistence

• Dockerfiles for Building Images
  • Writing Dockerfiles to create custom images.
• Docker Volumes for Data Persistence
  • Using volumes to manage persistent data in containers.

Module 7: Development and Deployment

• Development and Deployment with Docker Containers
  • Best practices for developing and deploying applications using Docker.
• Building Docker Images from Jenkins Jobs
  • Integrating Docker builds into Jenkins CI/CD pipelines.
• Pushing Images to Docker Hub
  • Steps to push custom images to Docker Hub.
• Pushing Images to ECR on AWS
  • Instructions for pushing images to Amazon ECR.

Module 8: Automation with Jenkins

• Automating Docker Image Push from Jenkinsfile
  • Using Groovy scripts to automate image pushes to Docker Hub/ECR.

Module 9: Docker Compose

• What is Docker Compose?
  • Introduction to Docker Compose and its use cases.
• Writing Docker Compose Files
  • Creating and configuring Docker Compose files for multi-container applications.
• Deploying Microservices with Docker Compose
  • Steps to deploy a microservice application using Docker Compose.
• Configuring Volumes with Compose Files
  • Managing data persistence in Docker Compose applications.

Module 10: Advanced Deployment Techniques

• Automating Deployments to EC2 Instances
  • Using Docker run and Docker Compose for automated deployments via Jenkins Pipeline.

Module 11: Container Orchestration with Docker Swarm

• Introduction to Docker Swarm
  • Overview of Docker Swarm as a container orchestration tool.
• High Availability, Scaling, and Load Balancing
  • Strategies for ensuring high availability and scaling applications in a Swarm cluster.
• Networking in Docker Swarm
  • Networking concepts specific to Docker Swarm.
• Creating Custom Overlay Networks
  • Steps to create and manage overlay networks in a Swarm cluster.
• Deploying Multiple Containers via Docker Compose
  • Managing multi-container deployments in a Docker Swarm environment using Docker Compose.

Conclusion

• Recap of key Docker concepts and practical applications.
• Suggestions for further learning and resources in containerization and orchestration.

This outline provides a comprehensive and structured approach to learning Docker and containerization, focusing on practical implementation and advanced features.

Container Orchestrator - Kubernetes

Module 1: Introduction to Kubernetes

• What is Kubernetes?
  • Overview of Kubernetes and its role in container orchestration.

Module 2: Kubernetes Architecture

• Understanding Kubernetes Architecture
  • Key components: Master Node, Worker Nodes, Pods, Services, etc.

Module 3: Setting Up Kubernetes

• Spinning Up a Kubernetes Cluster on AWS
  • Step-by-step instructions for setting up a Kubernetes cluster using AWS services.
• Exploring Your Cluster
  • Using kubectl to explore and manage your cluster.

Module 4: Kubernetes Configuration

• Understanding YAML Configuration
  • Basics of YAML syntax and structure used in Kubernetes.
• Creating a Pod Object
  • Steps to define and create a Pod using YAML.

Module 5: Deployments and Services

• Creating a Deployment
  • Deploying applications using Deployment objects in Kubernetes.
• Creating a Service Object
  • Exposing applications using Service objects.
• Service Types
  • Creating Headless, NodePort, and LoadBalancer services.

Module 6: Configuration Management

• Creating Secrets and ConfigMaps
  • Managing sensitive information and configuration data in Kubernetes.

Module 7: Advanced Workloads

• Working with DaemonSets
  • Understanding and deploying DaemonSets for node-level applications.
• Deploying Database Applications Using StatefulSets
  • Using StatefulSets for applications that require stable identities and storage.

Module 8: Storage Management

• Working with Persistent Volumes and Claims
  • Managing persistent storage in Kubernetes using Persistent Volumes (PVs) and Persistent Volume Claims (PVCs).

Module 9: Update Strategies

• Using Rolling Updates
  • Implementing rolling updates for zero-downtime deployments.
• Blue-Green Deployments
  • Overview and implementation of blue-green deployment strategies.
• Canary Deployments
  • Implementing canary deployments for gradual rollout of new features.

Module 10: Package Management and Monitoring

• Helm Package Manager for Kubernetes
  • Introduction to Helm and its usage in managing Kubernetes applications.
• Deploying Kubernetes Dashboard with Helm
  • Installing and configuring the Kubernetes Dashboard using Helm.
• Installing Prometheus and Grafana
  • Steps to install and configure Prometheus and Grafana for monitoring.

Module 11: Monitoring and Application Management

• Monitoring Kubernetes Cluster with Prometheus
  • Setting up Prometheus for monitoring Kubernetes metrics.
• Deploying Microservice Applications Using StatefulSets and Persistent Volumes
  • Practical application of deploying complex microservices with stateful data requirements.

Conclusion

• Summary of key Kubernetes concepts and best practices.
• Recommendations for further learning and resources in Kubernetes and container orchestration.

This outline provides a comprehensive framework for learning Kubernetes, focusing on practical applications and advanced deployment strategies.

Kubernetes on AWS - EKS

Module 1: Introduction to EKS

• What is Amazon EKS?
  • Overview of Amazon Elastic Kubernetes Service (EKS) and its benefits.

Module 2: Setting Up EKS

• Creating a Kubernetes Cluster on AWS with EKS
  • Step-by-step guide to creating an EKS cluster through the AWS Management Console or CLI.
• Using eksctl Command Line Tool
  • Introduction to eksctl and its usage for managing EKS clusters.

Module 3: Configuring EKS

• Configuring Auto Scaling for EKS Cluster
  • Setting up auto scaling for nodes in your EKS cluster to handle varying workloads.

Module 4: Deploying Applications

• Deploying Applications on EKS Cluster from Jenkins
  • Integrating Jenkins with EKS to deploy applications automatically.

Module 5: CI/CD Pipeline Implementation

• Complete CI/CD Pipeline on EKS from Docker Hub
  • Setting up a CI/CD pipeline that pulls images from Docker Hub and deploys to the EKS cluster.
• Complete CI/CD Pipeline on EKS from ECR
  • Building a CI/CD pipeline that utilizes Amazon Elastic Container Registry (ECR) for container images.

Conclusion

• Recap of key EKS concepts and deployment strategies.
• Recommendations for further learning and resources related to EKS and Kubernetes.

This outline provides a focused framework for learning how to effectively use EKS for Kubernetes deployment and management on AWS.

Infrastructure as Code with Terraform

Module 1: Introduction to Terraform

• What is Terraform?
  • Overview of Infrastructure as Code (IaC) and Terraform’s role in automating infrastructure provisioning.

Module 2: Setting Up Terraform

• Installing Terraform
  • Step-by-step guide to installing Terraform on various operating systems.

Module 3: Terraform Basics

• Terraform Providers
  • Understanding providers and how they interact with cloud services.
• Resources and Data Sources
  • Defining and managing resources, as well as using data sources in Terraform.

Module 4: Managing Infrastructure

• Changing and Destroying Terraform Resources
  • Commands and best practices for modifying and removing resources.
• Terraform State Commands
  • Overview of state management and relevant commands (e.g., terraform state).

Module 5: Outputs and Variables

• Output Values in Terraform
  • Defining and using output values for easy reference.
• Variables in Terraform
  • Declaring and using variables for parameterization.
• Environment Variables in Terraform
  • Using environment variables to manage configuration settings.

Module 6: Version Control and Automation

• Version Controlling Terraform Files with Git
  • Best practices for version control in Terraform projects using Git.
• Automating EC2 Instance Provisioning on AWS
  • Practical exercise in provisioning an EC2 instance using Terraform.

Module 7: Advanced Terraform Concepts

• Modules in Terraform
  • Creating and using modules for reusable configurations.

Module 8: CI/CD with Terraform

• Complete CI/CD on Jenkins with Terraform
  • Setting up a CI/CD pipeline in Jenkins for Terraform-managed infrastructure.
• Automating EKS Cluster Provisioning on AWS with Terraform
  • Step-by-step guide to provisioning an EKS cluster using Terraform.

Conclusion

• Recap of key Terraform concepts and practices.
• Recommendations for further learning and resources related to Terraform and Infrastructure as Code.

This outline provides a comprehensive framework for learning Terraform and effectively managing infrastructure as code.

Prometheus

Module 1: Introduction to Prometheus

• What is Prometheus?
  • Overview of Prometheus as a monitoring and alerting toolkit.
  • Key features and use cases.

Module 2: Prometheus Architecture

• Prometheus Architecture
  • Understanding the architecture and components of Prometheus, including:
    • Time series database
    • Data collection methods (pull vs. push)
    • Metrics types (counter, gauge, histogram, summary)

Module 3: Installation

• Prometheus Installation
  • Step-by-step guide to installing Prometheus on various platforms.

Module 4: Monitoring Metrics

• Monitoring Container Metrics with Prometheus
  • Configuring Prometheus to monitor Docker and Kubernetes containers.
  • Setting up exporters for collecting metrics.

Module 5: Prometheus UI

• Prometheus UI
  • Navigating the Prometheus user interface.
  • Exploring the metrics and query capabilities.

Module 6: Alerting

• Alerting Rules in Prometheus
  • Defining alerting rules and setting up alert notifications.

Module 7: Kubernetes Monitoring

• Monitoring Kubernetes Cluster with Prometheus
  • Deploying Prometheus in a Kubernetes environment.
  • Monitoring cluster health and resource utilization.

Conclusion

• Recap of key concepts and best practices for using Prometheus.
• Recommendations for further learning and resources related to monitoring and observability.

This outline provides a comprehensive framework for learning how to effectively use Prometheus for monitoring and alerting in both containerized and Kubernetes environments.

Grafana

Module 1: Introduction to Grafana

• What is Grafana?
  • Overview of Grafana as an open-source visualization tool for monitoring data.

Module 2: Grafana Dashboard for Prometheus Metrics

• Creating Dashboards for Prometheus Metrics
  • Connecting Grafana to Prometheus as a data source.
  • Building and customizing dashboards to visualize Prometheus metrics.
  • Adding panels and visualizations (graphs, tables, alerts).

Module 3: Grafana Dashboard for Kubernetes Clusters

• Monitoring Kubernetes Clusters with Grafana
  • Setting up Grafana to visualize metrics from Kubernetes clusters.
  • Using pre-built dashboards for Kubernetes monitoring.
  • Configuring alerts and notifications based on Kubernetes metrics.

Conclusion

• Recap of key Grafana concepts and best practices for dashboard creation.
• Recommendations for further learning and resources related to Grafana and data visualization.

This outline provides a clear framework for learning how to use Grafana effectively for monitoring and visualizing metrics from Prometheus and Kubernetes.

AWS Fundamentals

Module 1: Introduction to AWS

• What is AWS?
  • Overview of Amazon Web Services and cloud computing.
  • Benefits of using AWS.
• AWS Global Infrastructure
  • Regions, Availability Zones, and Edge Locations.

Module 2: Core AWS Services

• Compute Services

  • Amazon EC2 (Elastic Compute Cloud)
  • AWS Lambda (Serverless computing)
  • Amazon ECS/EKS (Container services)

• Storage Services

  • Amazon S3 (Simple Storage Service)
  • Amazon EBS (Elastic Block Store)
  • Amazon Glacier (Archival storage)

• Database Services

  • Amazon RDS (Relational Database Service)
  • Amazon DynamoDB (NoSQL database)
  • Amazon Aurora (Managed database)

Module 3: Networking and Content Delivery

• Amazon VPC (Virtual Private Cloud)

  • Setting up and managing VPCs.

• AWS Route 53

  • Domain registration and DNS management.

• AWS CloudFront

  • Content delivery network (CDN) services.

Module 4: Security and Identity

• AWS Identity and Access Management (IAM)

  • Managing user access and permissions.

• AWS Key Management Service (KMS)

  • Encryption and key management.

• AWS Shield and WAF

  • Protection against DDoS and web application threats.

Module 5: Monitoring and Management

• AWS CloudWatch

  • Monitoring resources and applications.

• AWS CloudTrail

  • Tracking user activity and API usage.

• AWS Config

  • Resource inventory and compliance management.

Module 6: Automation and DevOps

• AWS CloudFormation

  • Infrastructure as Code (IaC) for managing AWS resources.

• AWS Elastic Beanstalk

  • Deploying and managing applications in the cloud.

• AWS CodePipeline

  • CI/CD pipeline for automating software releases.

Module 7: Advanced Services

• AWS Machine Learning

  • Overview of machine learning services (SageMaker, Rekognition).

• AWS IoT

  • Connecting and managing IoT devices.

• AWS Serverless Services

  • Overview of serverless architecture and services (API Gateway, Lambda).

Conclusion

• Recap of key AWS concepts and services.
• Best practices for using AWS effectively.
• Recommendations for further learning and certification paths (e.g., AWS Certified Solutions Architect, Developer, etc.).

This outline provides a comprehensive overview of AWS services and concepts, suitable for beginners and those looking to deepen their understanding of the AWS ecosystem.

In addition to the above, we will discuss subtopic-specific tasks and topic-specific projects.
You become an expert in the subject and the DevOps tool flow in less than four months. 

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