Course duration
- 5 days
Course Benefits
- Plan for the transformation with shared goals and timelines
- Select a project and identify project metrics and KPIs
- Create a team and agile organization structure
- Describe the benefits of using Source Control
- Migrate from TFVC to Git
- Scale Git for Enterprise DevOps
- Recommend artifact management tools and practices
- Abstract common packages to enable sharing and reuse
- Migrate and consolidate artifacts
- Migrate and integrate source control measures
- Manage application config and secrets
- Develop a project quality strategy
- Plan for secure development practices and compliance rules
- Implement and manage build infrastructure
- Explain why continuous integration matters
- Implement continuous integration using Azure DevOps
- Manage code quality including: technical debt, SonarCloud, and other tooling solutions
- Manage security policies with open source, OWASP, and WhiteSource Bolt
- Implement a container strategy including how containers are different from virtual machines and how microservices use containers
- Implement containers using Docker
- 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
- 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
- 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
- Implement a mobile DevOps strategy
- 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 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
- 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
Webucator is a Microsoft Certified Partner for Learning Solutions (CPLS). This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).
Course Outline
- Planning for DevOps
- Transformation Planning
- Project Selection
- Team Structures
- Migrating to Azure DevOps
- Lab: Agile Planning and Portfolio Management with Azure Boards
- 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
- 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
- Consolidating Artifacts & Designing a Dependency Management Strategy
- Packaging Dependencies
- Package Management
- Migrating and Consolidating Artifacts
- Lab: Updating Packages
- 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
- Lab: Integrate Jenkins with Azure Pipelines
- Lab: Deploying a Multi-Container Application
- 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
- Managing Code Quality and Security Policies
- Managing Code Quality
- Managing Security Policies
- Lab: Managing Technical Debt with Azure DevOps and SonarCloud
- Implementing a Container Build Strategy
- Implementing a Container Build Strategy
- Lab: Modernizing Existing ASP.NET Apps with Azure
- Manage Artifact versioning, security & 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
- 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
- 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
- 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 LaunchDarkly and Azure DevOps
- 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
- 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
- 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
- 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
- Create and Manage Kubernetes Service Infrastructure
- Azure Kubernetes Service
- Lab: Deploying a multi-container application to Azure Kubernetes Service
- 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
- 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
- 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
- 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
Class Materials
Each student will receive a comprehensive set of materials, including course notes and all the class examples.
Experience in the following is required for this Azure DevOps Services class:
- Fundamental knowledge about Azure, version control, Agile software development, and core software development principles. It would be helpful to have experience in an organization that delivers software.
Instructor-led courses are offered via a live Web connection, at client sites throughout Europe, and at our Geneva Training Center.