AZ-400: Designing and Implementing Microsoft DevOps solutions

Job role: DevOps Engineer

Course Level: Advanced

Duration: 5 Days

Format: Instructor-Led

Course Description

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

Audience Profile

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

Course Outline

Module 1: Get started on a DevOps transformation journey

Lessons

Introduction to DevOps
Choose the right project
Describe team structures
Migrate to DevOps
Introduction to source control
Describe types of source control systems
Work with Azure Repos and GitHub

Lab : Agile planning and portfolio management with Azure Boards

Lab : Version controlling with Git in Azure Repos

After completing this module, students will be able to:

Understand what DevOps is and the steps to accomplish it
Identify teams to implement the process
Plan for the transformation with shared goals and timelines
Plan and define timelines for goals
Understand different projects and systems to guide the journey
Select a project to start the DevOps transformation
Identify groups to minimize initial resistance
Identify project metrics and Key Performance Indicators (KPI's)
Understand agile practices and principles of agile development
Create a team and agile organizational structure

Module 2: Work with Git for enterprise DevOps

Lessons

Structure your Git Repo
Manage Git branches and workflows
Collaborate with pull requests in Azure Repos
Identify technical debt
Explore Git hooks
Plan foster inner source
Manage Git repositories

Lab : Version controlling with Git in Azure Repos

After completing this module, students will be able to:

Understand Git repositories
Implement mono repo or multiple repos
Explain how to structure Git Repos
Implement a change log
Describe Git branching workflows
Implement feature branches
Implement GitFlow
Fork a repo
Leverage pull requests for collaboration and code reviews
Give feedback using pull requests

Module 3: Implement CI with Azure Pipelines and GitHub Actions

Lessons

Explore Azure Pipelines
Manage Azure Pipeline agents and pools
Describe pipelines and concurrency
Explore Continuous integration
Implement a pipeline strategy
Integrate with Azure Pipelines
Introduction to GitHub Actions
Learn continuous integration with GitHub Actions

Lab : Configuring agent pools and understanding pipeline styles

After completing this module, students will be able to:

Describe Azure Pipelines
Explain the role of Azure Pipelines and its components
Decide Pipeline automation responsibility
Understand Azure Pipeline key terms
Choose between Microsoft-hosted and self-hosted agents
Install and configure Azure pipelines Agents
Configure agent pools
Make the agents and pools secure
Use and estimate parallel jobs

Module 4: Design and implement a release strategy

Lessons

Introduction to continuous delivery
Explore release strategy recommendations
Build a high-quality release pipeline
Introduction to deployment patterns
Implement blue-green deployment and feature toggles
Implement canary releases and dark launching
Implement A-B testing and progressive exposure deployment

Lab : Controlling deployments using Release Gates

Lab : Creating a release dashboard

Lab : Feature flag management with LaunchDarkly and Azure DevOps

After completing this module, students will be able to:

Explain continuous delivery (CD)
Implement continuous delivery in your development cycle
Understand releases and deployment
Identify project opportunities to apply CD
Explain things to consider when designing your release strategy
Define the components of a release pipeline and use artifact sources
Create a release approval plan
Implement release gates
Differentiate between a release and a deployment

Module 5: Implement a secure continuous deployment using Azure Pipelines

Lessons

Create a release pipeline
Configure and provision environments
Manage and modularize tasks and templates
Automate inspection of health
Manage application configuration data
Integrate with identity management systems
Implement application configuration

Lab : Integrating Azure Key Vault with Azure DevOps

Lab : Setting up and running functional tests

Lab : Configuring pipelines as code with YAML

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
Implement release jobs
Differentiate between multi-agent and multi-configuration release job
Provision and configure target environment
Deploy to an environment securely using a service connection
Configure functional test automation and run availability tests
Setup test infrastructure
Use and manage task and variable groups

Module 6: Manage infrastructure as code using Azure, DSC, and third-party tools

Lessons

Explore infrastructure as code and configuration management
Create Azure resources using Azure Resource Manager templates
Create Azure resources by using Azure CLI
Explore Azure Automation with DevOps
Implement Desired State Configuration (DSC)
Introduction to Chef and Puppet
Implement Ansible
Implement Terraform

Lab : Deployments using Azure Resource Manager templates

Lab : Ansible with Azure

Lab : Automating infrastructure deployments in the cloud with Terraform and Azure Pipelines

After completing this module, students will be able to:

Understand how to deploy your environment
Plan your environment configuration
Choose between imperative versus declarative configuration
Explain idempotent configuration
Create Azure resources using ARM templates
Understand ARM templates and template components
Manage dependencies and secrets in templates
Organize and modularize templates
Create Azure resources using Azure CLI

Module 7: Implement security and validate code bases for compliance

Lessons

Lab : Managing technical debt with SonarQube and Azure DevOps

Lab : Implement security and compliance in Azure DevOps Pipelines

After completing this module, students will be able to:

Identify SQL injection attack
Understand DevSecOps
Implement pipeline security
Understand threat modeling
Implement open-source software
Explain corporate concerns for open-source components
Describe open-source licenses
Understand the license implications and ratings
Work with Static and Dynamic Analyzers
Configure Microsoft Defender for Cloud

Module 8: Design and implement a dependency management strategy

Lessons

Explore package dependencies
Understand package management
Migrate, consolidating and secure artifacts
Implement a versioning strategy

Lab : Package management with Azure Artifacts

After completing this module, students will be able to:

Define dependency management strategy
Identify dependencies
Describe elements and componentization of a dependency management
Scan your codebase for dependencies
Implement package management
Manage package feed
Consume and create packages
Publish packages
Identify artifact repositories
Migrate and integrate artifact repositories

Module 9: Create and manage containers using Docker and Kubernetes

Lessons

Design a container build strategy
Implement Docker multi-stage builds
Implement Azure Kubernetes Service (AKS)
Explore Kubernetes tooling
Integrate AKS with Pipelines

Lab : Deploying Docker Containers to Azure App Service web apps

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

After completing this module, students will be able to:

Design a container strategy
Work with Docker Containers
Create an Azure Container Registry
Explain Docker microservices and containers
Implement multi-stage builds with Docker
Understand build patterns
Manage multiple projects and solutions
Add Docker support to an existing application
Implement Azure Kubernetes Service (AKS)
Deploy and connect to an AKS cluster

Module 10: Implement continuous feedback

Lessons

Implement tools to track usage and flow
Implement route for mobile application crash report data
Develop monitor and status dashboards
Share knowledge within teams
Explore SRE and design practices to measure end-user satisfaction
Design processes to capture and analyze user feedback
Design processes to automate application analytics
Manage alerts, Blameless retrospectives and a just culture

Lab : Integration between Azure DevOps and Microsoft Teams

Lab : Monitoring application performance with Application Insights

After completing this module, students will be able to:

Implement tools to track feedback
Plan for continuous monitoring
Implement Application Insights
Use Kusto Query Language (KQL)
Implement routing for mobile applications
Configure App Center Diagnostics
Configure alerts
Create a bug tracker
Configure Azure Dashboards
Work with View Designer in Azure Monitor

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