Azure DevOps
By the end of the Azure
DevOps course, participants should be proficient in using Azure DevOps for the
end-to-end software development lifecycle, implementing best practices, and
preparing for relevant certifications. The course often emphasizes practical
application, allowing participants to build skills that can be immediately
applied in real-world scenarios.
CourseCurriculum
Module 1: Introduction to Azure
DevOps
·
Introduction
to Azure DevOps Services and Azure DevOps Server
·
Understanding
the key components: Azure Boards, Azure Repos, Azure Pipelines, Azure Test
Plans, and Azure Artifacts
·
Azure
networking and storage management
·
Key
Azure services (Compute, Storage, Networking).
Module 2: Setting Up Azure DevOps
Module 3: Azure Repos
Module 4: Azure Boards
·
Creating
and managing work items
·
Customizing
work item types and fields
Module 5: Azure Pipelines
·
Continuous
Integration (CI) and Continuous Deployment (CD) concepts
·
Building
a CI/CD pipeline
·
Configuring
build pipelines
·
Configuring
release pipelines
·
Blue-Green
deployments
·
Canary
releases
Module 6: Azure Test Plans
·
Creating
and managing test plans
·
Test
case design and execution
Module 7: IaC, Container, AKS
1.
Terraform
·
Introduction to Terraform: Core concepts of IaC, Terraform syntax, and configuration
files.
·
Terraform Operations: Writing and executing Terraform scripts, state management, and working
with modules.
·
Terraform in Practice: Creating reproducible infrastructure, best practices, and real-world
use cases.
2.
Docker
·
Docker Essentials: Understanding containers, Docker images, and container lifecycle.
·
Docker Compose and Management: Multi-container applications, orchestration with Docker Compose,
and container networking.
·
Advanced Docker Techniques: Dockerfile best practices, image optimization, and secure
container deployment.
3.
Kubernetes
·
Kubernetes Basics: Understanding clusters, pods, deployments, and services.
·
Kubernetes Networking and Storage: Configuring network policies, persistent storage, and
volumes.
·
Advanced Kubernetes Concepts: Autoscaling, self-healing, and Kubernetes security.
4.
Implementing DevOps Tools in Azure
·
Git
in Azure: Implementing source control for Azure projects using Git. Integrating
repositories with Azure DevOps for continuous integration.
·
GitHub
and Azure DevOps Integration: Setting up GitHub repositories in Azure DevOps.
Automating build and release pipelines using GitHub actions.
·
Terraform
in Azure: Creating and managing Azure resources using Terraform. Best practices
for managing state files and organizing Terraform configurations.
·
Docker
on Azure: Deploying Docker containers on Azure Container Instances (ACI) and
Azure Kubernetes Service (AKS). Container registry management with Azure
Container Registry (ACR).
·
Kubernetes
in Azure: Deploying and managing Kubernetes clusters using AKS. Scaling
applications, updating deployments, and managing cluster resources.
Module 8: Azure Artifacts
Module 9: Integrations and
Extensibility
·
Integrating
with GitHub, Bitbucket, and other version control systems
·
Integrating
with external build and deployment systems
Module 10: Monitoring and Analytics
·
Using
Azure DevOps Analytics for reporting
·
Configuring
and interpreting dashboards
Module 11: Best Practices and
Advanced Topics
·
Implementing
DevOps best practices
·
Code
reviews, branch policies, and code quality
·
YAML
pipelines for advanced configuration
·
Pipeline
templates and parameterization
Module 12: Azure DevOps Certification
Preparation
·
Overview
of relevant certifications
·
Exam
format, topics, and preparation strategies
Additional Considerations:
·
Discuss
and analyze real-world scenarios and case studies.
·
Azure
DevOps, Building software packages with Build Pipelines, Deploying
infrastructure using Release Pipelines, YAML Pipelines, Azure Kubernetes
Services (AKS), and Containerization.
·
Deploying
a Web Application using Docker and Azure: Step-by-step project to containerize
a web application, push it to ACR, and deploy it on ACI.
·
Infrastructure
Automation using Terraform in Azure: Real-world project to automate the
deployment of a multi-tier application infrastructure using Terraform in Azure.
·
CI/CD
with Azure DevOps: Implementing a full CI/CD pipeline for an application using
Azure DevOps. Integrating source control, automated builds, testing, and
deployment.
·
Managing
Kubernetes Clusters in Azure: Hands-on project to deploy a Kubernetes cluster
in Azure, deploy applications, and implement scaling and self-healing features.
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