Module 1: Planning for DevOps

• Transformation planning
• Project selection
• Team structures
• Migrating to Azure DevOps
• Lab: Agile planning and portfolio management with Azure boards

Module 2: Getting Started with Source Control

• What is source control
• Benefits of source control
• Types of source control systems
• Introduction to Azure repos
• Introduction to GitHub
• Migrating from team foundation version control (TFVC) to Git in Azure repos
• Authenticating to Git in Azure repos
• Lab: Version controlling with Git

Module 3: Scaling Git for Enterprise DevOps

• How to structure your Git repo
• Git branching workflows
• Collaborating with pull requests in Azure repos
• Why care about GitHooks
• Fostering inner source
• Lab: Code review with pull requests

Module 4: Consolidating Artifacts and Designing a Dependency Management Strategy

• Packaging dependencies
• Package management
• Migrating and consolidating artifacts
• Lab: Updating packages

Module 5: Implementing Continuous Integration with Azure Pipelines

• The concept of pipelines in DevOps
• Azure Pipelines
• Evaluate use of hosted vs. private agents
• Agent pools
• Pipelines and concurrency
• Azure DevOps and open-source projects (public projects)
• Azure Pipelines YAML vs Visual Designer
• Continuous integration overview
• Implementing a build strategy
• Integration with Azure Pipelines
• Integrate external source control with Azure Pipelines
• Set up private agents
• Analyse and integrate Docker multi-stage builds
• Lab: Enabling continuous integration with Azure Pipelines
• Lab: Integrating external source control with Azure Pipelines
• Lab: Integrate Jenkins with Azure Pipelines

• Lab: Deploying a multi-container application

Module 6: Managing Application Config and Secrets

• Introduction to security
• Implement secure and compliant development process
• Rethinking application config data
• Manage secrets, tokens, and certificates
• Implement tools for managing security and compliance in a pipeline
• Lab: Integrating Azure Key Vault with Azure DevOps

Module 7: Managing Code Quality and Security Policies

• Managing code quality
• Managing security policies
• Lab: Managing technical debt with Azure DevOps and SonarCloud

Module 8: Implementing a Container Build Strategy

• Implementing a container build strategy
• Lab: Modernizing existing ASP.NET apps with Azure

Module 9: Manage Artifact Versioning, Security and Compliance

• Package security
• Open source software
• Integrating license and vulnerability scans
• Implement a versioning strategy (git version)
• Lab: Manage open source security and license with WhiteSource

Module 10: Design a Release Strategy

• Introduction to continuous delivery
• Release strategy recommendations
• Building a high-quality release pipeline
• Choosing a deployment pattern
• Choosing the right release management tool

Module 11: Set up a Release Management Workflow

• Create a release pipeline
• Provision and configure environments
• Manage and modularize tasks and templates
• Integrate secrets with the release pipeline
• Configure automated integration and functional test automation
• Automate inspection of health
• Lab: Configuring pipelines as code with YAML
• Lab: Setting up secrets in the pipeline with Azure Key Vault
• Lab: Setting up and running functional tests
• Lab: Using Azure Monitor as release gate
• Lab: Creating a release dashboard

Module 12: Implement an Appropriate Deployment Pattern

• Introduction to deployment patterns
• Implement Blue-Green Deployment
• Feature toggles
• Canary releases
• Dark launching
• AB testing
• Progressive exposure deployment
• Lab: Feature flag management with Launch Darkly and Azure DevOps

Module 13: Implement Process for Routing System Feedback to Development Teams

• Implement tools to track system usage, feature usage, and flow
• Implement routing for mobile application crash report data
• Develop monitoring and status dashboards

  • Integrate and configure ticketing systems Lab: Monitoring application performance

Module 14: Implement a Mobile DevOps Strategy

• Introduction to mobile DevOps
• Introduction to Visual Studio app center
• Manage mobile target device sets and distribution groups
• Manage target UI test device sets
• Provision tester devices for deployment
• Create public and private distribution groups

Module 15: Infrastructure and Configuration Azure Tools

• Infrastructure as code and configuration management
• Create Azure resources using ARM Templates
• Create Azure resources using Azure CLI
• Create Azure resources by using Azure PowerShell
• Desired State Configuration (DSC)
• Azure automation with DevOps
• Additional automation tools
• Lab: Azure deployments using resource manager templates

Module 16: Azure Deployment Models and Services

• Deployment modules and options
• Azure infrastructure-as-a-service (IaaS) services
• Azure platform-as-a-service (PaaS) services
• Serverless and HPC computer services
• Azure service fabric
• Lab: Azure automation—IaaS or PaaS deployment

Module 17: Create and Manage Kubernetes Service Infrastructure

• Azure Kubernetes Service
• Lab: Deploying a multi-container application to Azure Kubernetes Service

Module 18: Third Party Infrastructure as Code Tools available with Azure

• Chef
• Puppet
• Ansible
• Terraform
• Lab: Infrastructure as code
• Lab: Automating your infrastructure deployments in the cloud with Terraform and Azure Pipelines

Module 19: Implement Compliance and Security in your Infrastructure

• Security and compliance principles with DevOps
• Azure security center
• Lab: Implement security and compliance in an Azure DevOps Pipeline

Module 20: Recommend and Design System Feedback Mechanisms

• The inner loop
• Continuous experimentation mindset
• Design practices to measure end-user satisfaction
• Design processes to capture and analyze user feedback
• Design process to automate application analytics
• Lab: Integration between Azure DevOps and teams

Module 21: Optimize Feedback Mechanisms

• Site reliability engineering
• Analyze telemetry to establish a baseline
• Perform ongoing tuning to reduce meaningless or nonactionable alerts
• Analyze alerts to establish a baseline
• Blameless retrospectives and a just culture