/30-Days-Of-DevOps_By_Aditya

This repository will be containing the content for 30 days of devops which introduce by Aditya Jaiswal

30 DAYS OF DEVOPS ๐Ÿš€

Welcome to the 30 DAYS OF DEVOPS ๐Ÿ’ป repository! This repository contains the complete documentation for the 30 DAYS OF DEVOPS course by DevOps Shack ๐Ÿ“บ.

Course Contents

Day 1-5: Introduction to DevOps ๐Ÿ”„

  • Day 1: ๐Ÿ”„ DevOps explained - Overview of DevOps principles, culture, and benefits.
  • Day 2: ๐Ÿ“ฆ Introduction to Maven - Understanding Maven's role in build automation and dependency management.
  • Day 3: ๐Ÿฑ Apache Tomcat - Introduction to Tomcat, a popular Java web server, and servlet container.
  • Day 4: ๐Ÿš€ Jenkins - Setting up Jenkins, a leading open-source automation server, for continuous integration and delivery.
  • Day 5: ๐ŸŽฏ SonarQube - Introduction to SonarQube for code quality analysis and continuous inspection.

Day 6-10: Security and Artifacts Management ๐Ÿ›ก๏ธ

  • Day 6: ๐Ÿงช OWASP Dependency Check - Understanding how to use OWASP Dependency Check to identify vulnerabilities in project dependencies.
  • Day 7: ๐Ÿ—ƒ๏ธ Artifacts and Repository Management - Introduction to the concept of artifacts, along with using Nexus as a repository manager.
  • Day 8: ๐Ÿณ Docker - Introduction to Docker containers and containerization for building and deploying applications.
  • Day 9: ๐Ÿ“„ YAML - Learning YAML syntax for defining configuration files used in various DevOps tools.
  • Day 10: โš“ Kubernetes - Introduction to Kubernetes for container orchestration and managing containerized applications.

Day 11-15: Azure DevOps ๐ŸŒ

  • Day 11: ๐ŸŒ Azure DevOps - Overview of Azure DevOps, a comprehensive DevOps platform provided by Microsoft.
  • Day 12: ๐Ÿ“Š Azure Pipelines - Configuring pipelines in Azure DevOps for continuous integration and delivery.
  • Day 13: ๐ŸŽจ Azure Artifacts - Managing packages and artifacts in Azure DevOps for versioning and distribution.
  • Day 14: ๐Ÿ“ฆ Azure Container Registry (ACR) - Understanding how to use ACR for storing and managing Docker container images.
  • Day 15: โ›ต Azure Kubernetes Service (AKS) - Deploying and managing Kubernetes clusters in Azure using AKS.

Day 16-20: Infrastructure as Code ๐ŸŽญ

  • Day 16: ๐ŸŽญ Ansible - Introduction to Ansible for configuration management and automation of IT infrastructure.
  • Day 17: ๐Ÿ—๏ธ Terraform - Learning Terraform for infrastructure provisioning and management as code.
  • Day 18: ๐Ÿ—๏ธ Terraform with Azure - Deploying Azure resources using Terraform for infrastructure automation.
  • Day 19: ๐Ÿ—๏ธ Azure DevOps and Terraform - Integrating Terraform with Azure DevOps pipelines for infrastructure deployment.
  • Day 20: Infrastructure as Code Best Practices - Exploring best practices for infrastructure automation, versioning, and collaboration.

Day 21-25: Advanced DevOps Concepts (Not finalized)

  • Day 21: Continuous Monitoring - Introduction to monitoring tools and practices for proactive system monitoring.
  • Day 22: Log Management - Understanding log aggregation and analysis using tools like ELK stack.
  • Day 23: Infrastructure Orchestration - Exploring advanced orchestration techniques using tools like HashiCorp Nomad.
  • Day 24: Serverless Computing - Introduction to serverless architecture and Azure Functions for event-driven applications.
  • Day 25: Cloud-native Architecture - Understanding the principles and patterns of building applications for cloud environments.

Day 26-30: DevOps Best Practices and Case Studies (Not finalized)

  • Day 26: Continuous Testing - Integrating automated testing into the CI/CD pipeline for faster feedback.
  • Day 27: Release Management - Best practices for managing software releases and deployment strategies.
  • Day 28: DevOps Culture and Collaboration - Emphasizing collaboration, communication, and shared responsibility within DevOps teams.
  • Day 29: Scaling DevOps - Strategies for scaling DevOps practices and tools across teams and organizations.
  • Day 30: DevOps Case Studies - Examining real-world DevOps success stories and lessons learned.