AzureDevOpsTraining

Syllabus

Section 1 🚀

• 🌟 DevOps Introduction

• 🛠️ DevOps Tools

• 🔄 Different practices of DevOps - Agile, Scrum, etc.

• 🌐 Azure DevOps URL walkthrough, user creation

  Task 1: 🐞 Create an Agile Project and different work items in Azure boards.

Section 2 🧑‍💻

• 📂 Azure Repos overview, Git basics

• 🌿 Branching strategies for the source code - feature, release, trunk

• 🔄 Pull request workflow by using branch policies and branch protections

  Task 2: ⬆️ Create a repo in Azure Repos and push code
  Task 3: 🌲 Create a new develop branch from master
  Task 4: ⚔️ Create and resolve conflicts in branches (learn)

• 🔄 Different merging strategies in Azure Repos

• 🚫 Branch merging restrictions by using branch policies and branch protections

• 🔐 Configure permissions in the source control repository

  Task 5: 🔄 Merge a branch using squash merge with PR
  Task 6: 🔄 Merge a branch using rebase with some commits ahead
  Task 7: 📜 Create branch policies for main branches
  Task 8: ✔️ Build validation, status checks
  Task 9: 🔗 Add reviewers in PR, link work items at all stages (commit, PR, merge)
  Task 10: 🔒 Lock a branch

Section 3 🛠️

• 📊 Azure Pipelines and GitHub Actions Overview

• 🖥️ Configure Agents: Microsoft-hosted, Self-hosted for Azure Pipelines and GitHub Actions Runners

• 🏗️ Pipeline Creation: Classic pipeline (Azure DevOps) and GitHub Actions workflow-based setup

• 📄 YAML-based Pipeline Creation: Define CI/CD workflows using YAML in Azure Pipelines and GitHub Actions

• 🔍 Integrate with External Tools: Dependency scanning, security scanning, and code coverage in both platforms

• 🚪 Implement Quality & Release Gates: Security, governance, and approval policies in Azure Pipelines and GitHub Actions

• 🔬 Automated Testing in Pipelines: Unit, integration, and end-to-end tests in Azure Pipelines and GitHub Actions

• 🌍 Deployment Strategies: Azure Pipeline Environments, Deployment Groups, and GitHub Actions Environments

• 🐳 Container-based Workflows: Run jobs in containers in Azure Pipelines and GitHub Actions

• 🚀 Deployment Strategies: RunOnce, Rolling, Canary in Azure Pipelines; Matrix and Custom Deployment Strategies in GitHub Actions

• ⏳ Advanced Pipeline Configuration: Branch filters, scheduled builds in Azure Pipelines and GitHub Actions

• ⏱️ Optimizing Build Time: Parallel jobs, caching, and artifact management

• 🔑 Permissions & Security: Configure access control in Azure Pipelines and GitHub Actions (Service Connections, Secrets, Tokens)

• 🐞 Troubleshooting Pipelines: Debugging Azure Pipelines and GitHub Actions workflows

• ♻️ Reusable CI/CD Elements: YAML templates, task groups, composite actions, reusable workflows

• 📈 Monitor Pipeline Health: Failure rates, duration, flaky tests in Azure Pipelines and GitHub Actions

• 🚀 CI/CD with GitHub Actions & Azure Pipelines: Build, test, and deploy workflows

• 🔒 Secret Management: Secure variables, encrypted secrets, and vault integration in Azure Pipelines & GitHub Actions

  Task 11: 🖥️ Create a CI pipeline for your favorite programming language using Azure Pipelines (Microsoft-hosted) and GitHub Actions (Hosted Runners)
  Task 12: 🖥️ Use self-hosted agents/runners for the same CI pipeline in both Azure DevOps Pipelines and GitHub Actions
  Task 13: 🖥️ Configure multiple agents/runners from a single VM for Azure Pipelines and GitHub Actions
  Task 14: 📝 Implement CI using YAML-based pipelines in both Azure DevOps Pipelines and GitHub Actions; explore Classic pipelines in Azure DevOps
  Task 15: 🌐 Deploy an application to Azure WebApp using both Azure Pipelines and GitHub Actions
  Task 16: 🔐 Secure pipelines by integrating Azure Key Vault for secret management in both Azure DevOps Pipelines and GitHub Actions Secrets
  Task 17: 🔍 Implement a full CI/CD pipeline using GitHub Actions and Azure DevOps Pipelines, including code scanning and security analysis

Section 4 🔧

• 📦 Azure , GitHub Artifacts overview

• 🛠️ Package management implementation that uses Azure Artifacts, GitHub Packages, NuGet, and npm

• 🔄 Implement a versioning strategy for pipeline artifacts

• 🧪 Azure Test Plans overview - manual testing addon example

• 🏗️ Infrastructure as Code overview

• 📜 ARM, BICEP, TERRAFORM introduction

• 🔧 IaC strategy, including source control and automation of testing and deployment

• 🔍 Automate security and compliance scanning

• 🛡️ Automate analysis of source code by using GitHub code scanning, GitHub secrets scanning, pipeline-based scans, and SonarQube

• 📦 Automate analysis of licensing, vulnerabilities, and versioning of open-source components by using Mend Bolt and GitHub Dependency Scanning

  Task 18: 🏗️ Create ARM deployment stage with ADO pipeline
  Task 19: 🌍 Create resources using Terraform with ADO pipeline
  Task 20: 🔍 Include security scanning for resources using Code
  Task 21: 🛡️ Dependabot, security enablement in GitHub Repos

Section 5 🐳

• 🆚 Docker introduction, VM vs Containers

• 🏗️ Creation of Docker images: core build block

• 📦 Manage data and working with volumes in Docker

• 🌐 Container network communication basics

• 🐙 Kubernetes introduction

• ⚙️ Kubernetes pods, ReplicaSet, deployments, services creation using imperative and declarative ways

• 🔗 Integration of Azure Kubernetes with Azure files, storage disks for persistent storage

• 🛠️ Kubernetes cordon, taints, node affinity, cordon, etc.

• 🚪 Kubernetes ingress basics

• 🤖 Working with ChatGPT for code creation for Dockerfile, Kubernetes YAML files

  Task 22: 🛠️ Installation of Docker, Minikube, Docker Kubernetes extension
  Task 23: 📦 Create Docker image using Dockerfile
  Task 24: 💾 Store container data in volumes
  Task 25: 📦 Create multi-stage Docker image using Dockerfile
  Task 26: 🚀 Deploy Kubernetes YAML files in Minikube and AKS

🤝 Contributions

Feel free to raise PRs to enhance this repository with additional use cases and examples.

Repo Activity 📊

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