- 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
- 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
- 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
- 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
- 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 PipelinesLab : 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
- 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
- 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
- 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
- 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
- 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
- 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 YAMLLab : Setting up secrets in the pipeline with Azure Key vault Lab : Setting up and Running Functional Tests Lab : Using Azure Monitor as release gateLab : 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
- 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 LaunchDarkly 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
- 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
- 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
- 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
- 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
- 17. Third Party Infrastructure as Code Tools available with Azure
- Chef
- Puppet
- Ansible
- Terraform
Lab: Infrastructure as CodeLab : 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
- 18. 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
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
- 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
- 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
United States 
Judy Geller
United States
I would never hesitate to recommend Microtek Learning or my trainer, Jeff, to anyone looking to attend a training course.