Microsoft Designing and Implementing Microsoft DevOps solutions

Syllabus – Key points

Module 1: Planning for DevOps 

• Transformation Planning 
• Project Selection 

• Team Structures 
• Migrating to Azure DevOps 

Lab: Agile Planning and Portfolio Management with Azure Boards 

After completing this module, students will be able to: 

• Plan for the transformation with shared goals and timelines 

• Select a project and identify project metrics and KPIs 
• Create a team and agile organizational structure 
• Design a tool integration strategy 
• Design a license management strategy (e.g., VSTS users) 
• Design a strategy for end-to-end traceability from work items to working software 

• Design an authentication and access strategy 
• Design a strategy for integrating on-premises and cloud resources 

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 

After completing this module, students will be able to: 

• Describe the benefits of using Source Control 
• Describe Azure Repos and GitHub 
• Migrate from TFVC to 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 

After completing this module, students will be able to: 

• Explain how to structure Git repos 
• Describe Git branching workflows 

• Leverage pull requests for collaboration and code reviews 
• Leverage Git hooks for automation 
• Use git to foster inner source across the organization 

Module 4: Consolidating Artifacts & Designing a Dependency Management Strategy 

• Packaging Dependencies 

• Package Management 
• Migrating and Consolidating Artifacts 

Lab : Updating Packages 

After completing this module, students will be able to: 

• Recommend artifact management tools and practices 

• Abstract common packages to enable sharing and reuse 
• Migrate and consolidate artifacts 
• Migrate and integrate source control measures 

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 
• Analyze and Integrate Docker Multi-Stage Builds 

Lab : Enabling Continuous Integration with Azure Pipelines
Lab : Integrating External Source Control with Azure Pipelines 

After completing this module, students will be able to: 

• Implement and manage build infrastructure 

• Explain why continuous integration matters 
• Implement continuous integration using Azure DevOps 

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 

After completing this module, students will be able to: 

• Manage application config and secrets 
• Implement tools for managing security and compliance in pipeline 

Module 7: Managing Code Quality and Security Policies 

• Managing Code Quality 
• Managing Security Policies 

Lab : Managing Technical Debt with Azure DevOps and SonarCloud 

After completing this module, students will be able to: 

• Manage code quality including: technical debt SonarCloud, and other tooling solutions 
• Manage security policies with open source and OWASP 

Module 8: Implementing a Container Build Strategy 

• Implementing a Container Build Strategy 

Lab : Modernizing Existing ASP.NET Apps with Azure 

After completing this module, students will be able to: 

• Implement a container strategy including how containers are different from virtual machines and how microservices use containers 
• Implement containers using Docker 

Module 9: Manage Artifact versioning, security & compliance 

• Package security 
• Open source software 
• Integrating license and vulnerability scans 
• Implement a versioning strategy 

Lab : Manage Open Source Security and License with WhiteSource 

After completing this module, students will be able to: 

• Inspect open source software packages for security and license compliance to align with corporate standards 
• Configure build pipeline to access package security and license rating 
• Configure secure access to package feeds 

• Inspect codebase to identify code dependencies that can be converted to packages 
• Identify and recommend standardized package types and versions across the solution 
• Refactor existing build pipelines to implement version strategy that publishes packages 
• Manage security and compliance 

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 

After completing this module, students will be able to: 

• Differentiate between a release and a deployment 
• Define the components of a release pipeline 
• Explain things to consider when designing your release strategy 
• Classify a release versus a release process and outline how to control the quality of both 

• Describe the principle of release gates and how to deal with release notes and documentation 
• Explain deployment patterns, both in the traditional sense and in the modern sense 
• Choose a 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 

After completing this module, students will be able to: 

• Explain the terminology used in Azure DevOps and other Release Management Tooling 
• Describe what a Build and Release task is, what it can do, and some available deployment tasks 
• Classify an Agent, Agent Queue, and Agent Pool 
• Explain why you sometimes need multiple release jobs in one release pipeline 

• Differentiate between multi-agent and multi-configuration release job 
• Use release variables and stage variables in your release pipeline 
• Deploy to an environment securely using a service connection 
• Embed testing in the pipeline 
• List the different ways to inspect the health of your pipeline and release by using alerts, service hooks, and reports 

• Create a release gate 

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 

After completing this module, students will be able to: 

• Describe deployment patterns 
• Implement Blue Green Deployment 
• Implement Canary Release 
• Implement Progressive Exposure Deployment 

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 

After completing this module, students will be able to: 

• Configure crash report integration for client applications 
• Develop monitoring and status dashboards 
• Implement routing for client application crash report data 

• Implement tools to track system usage, feature usage, and flow 
• Integrate and configure ticketing systems with development team’s work management 

Module 14: 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 

After completing this module, students will be able to: 

• Apply infrastructure and configuration as code principles 
• Deploy and manage infrastructure using Microsoft automation technologies such as ARM templates, PowerShell, and Azure CLI 

Module 15: 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 : Deploying a Dockerized Java app to Azure Web App for Containers 

After completing this module, students will be able to: 

• Describe deployment models and services that are available with Azure 

Module 16: Create and Manage Kubernetes Service Infrastructure 

• Azure Kubernetes Service 

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

After completing this module, students will be able to: 

• Deploy and configure a Managed Kubernetes cluster 

Module 17: 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 

After completing this module, students will be able to: 

• Deploy and configure infrastructure using 3rd party tools and services with Azure, such as Chef, Puppet, Ansible, and Terraform 

Module 18: Implement Compliance and Security in your Infrastructure 

• Security and Compliance Principles with DevOps 
• Azure security Centre 

Lab : Implement Security and Compliance in an Azure DevOps Pipeline 

After completing this module, students will be able to: 

• Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure 
• Implement compliance and security in your application infrastructure 

Module 19: 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 

After completing this module, students will be able to: 

• Design practices to measure end-user satisfaction 
• Design processes to capture and analyze user feedback from external sources 
• Design routing for client application crash report data 

• Recommend monitoring tools and technologies 
• Recommend system and feature usage tracking tools 

Module 20: Optimize feedback mechanisms 

• Site Reliability Engineering 
• Analyze telemetry to establish a baseline 

• Perform ongoing tuning to reduce meaningless or non-actionable alerts 
• Analyze alerts to establish a baseline 
• Blameless Retrospectives and a Just Culture 

After completing this module, students will be able to: 

• Analyze alerts to establish a baseline 

• Analyze telemetry to establish a baseline 
• Perform live site reviews and capture feedback for system outages 
• Perform ongoing tuning to reduce meaningless or non-actionable alerts