Azure DevOps Solutions


Course Description

This course provides the knowledge and skills to implement DevOps processes. Students will learn how to use source control, scale Git for an enterprise, and implement and manage build infrastructure.

You will also gain the knowledge and skills to implement DevOps processes. Students will learn how to use source This course provides knowledge and skills to implement the DevOps practices of continuous integration. Students will learn how
to implement continuous integration in an Azure DevOps pipeline, how to manage code quality and security principles, and how to implement a container build strategy.

This course also provides the knowledge and skills to implement continuous delivery. Students will learn how to design a release strategy, set up a release management workflow, and implement an appropriate deployment pattern.

Who Should Attend

Students in this course are interested in implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam.

Course Information


Length: 5 day

Format: Lecture and Lab

Delivery Method: Virtual / Onsite

Max. Capacity: 16



Learning Objectives

  • Describe the benefits of using source control Migrate from TFVC to Git
  • Scale Git for Enterprise DevOps
  • Implement and manage build infrastructure
  • Manage application config & secrets
  • Implement a mobile DevOps strategy
  • Explain why continuous integration matters
  • Implement continuous integration using Azure DevOps
  • Configure builds and the options available
  • Create an automated build workflow
  • Integrate other build tooling with Azure DevOps
  • Create hybrid build processes
  • Describe what is meant by code quality and how it is measured
  • Detect code smells
  • Integrate automated tests for code quality
  • Report on code coverage during testing
  • Add tooling to measure technical debt
  • Detect open source and other licensing issues
  • Implement a container build strategy
  • 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
  • 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 
  • Describe deployment patterns
  • Implement Blue Green Deployment
  • Implement Canary Release
  • Implement Progressive Exposure Deployment
  • Recommend artifact management tools and practices
  • Abstract common packages to enable sharing and reuse
  • 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
  • Inspect open source software packages for security and license compliance to align with corporate standards
  • Configure build pipeline to access package security and icense rating
  • Configure secure access to package feeds
  • Apply infrastructure and configuration as code principles
  • Deploy and manage infrastructure using Microsoft automation technologies such as ARM templates, PowerShell, and Azure CLI
  • Describe deployment models and services that are available with Azure
  • Deploy and configure a Managed Kubernetes cluster
  • Deploy and configure infrastructure using 3rd party tools and services with Azure, such as Chef, Puppet, Ansible, SaltStack, and Terraform
  • Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure
  • Implement compliance and security in your application infrastructure
  • Design<

Labs

  • Enabling Continuous Integration with Azure Pipelines
  • Creating a Jenkins Build Job and Triggering CI
  • Managing Technical Debt with Azure DevOps and SonarCloud
  • Checking Vulnerabilities using WhiteSource Bolt and Azure DevOps
  • Existing .NET Applications with Azure and Docker Images
  • Building a release strategy
  • Automating your infrastructure deployments in the
    Cloud with Terraform and Azure Pipelines
  • Setting up secrets in the pipeline with Azure Key vault
  • Setting up and Running Load Tests
  • Setting up and Running Functional Tests
  • Using Azure Monitor as release gate
  • Creating a Release Dashboard
  • Blue-Green Deployments
  • Traffic Manager
  • Updating packages
  • Integration between Azure DevOps and Teams
  • Feature Flags
  • Agile Planning and Portfolio Management with Azure Boards
  • Feature Flag Management with LaunchDarkly and AzureDevOps
  • Integrating Azure Repos and Azure Pipelines with Eclipse