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Microsoft Azure DevOps Engineer – Bootcamp

About the Course

Course Duration: 3 days

Price From: £1999


Private Course: Click Here  This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms.  

Who is it for?

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

Entry Requirements

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. 

The Exam

This M-AZ400 Azure DevOps course helps to prepare for exam AZ-400, which may be purchased separately. 

Course Objectives

After completing this course, 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 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 

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 

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There are no dates scheduled for this course now. Please call Paula Jones to enquire about this course on 08000 199337, if you\'re calling overseas please call +44 207 264 2185. Alternatively, please email p.jones@tsg-training.co.uk and she’ll be in contact with you shortly.

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