Microsoft Azure DevOps (AZ-400) Training Course

In this lecture, you’ll be introduced to continuous integration principles including benefits, challenges, build best practices, and implementation steps. You will also learn about implementing a build strategy with workflows, triggers, agents, and tools.

·      Lessons:

·      Continuous Integration Overview

·      Implementing a Build Strategy

·      Lab: 

·      Enabling Continuous Integration with Azure Pipelines

·      Creating a Jenkins Build Job and Triggering CI

·      After completing this lecture, students will able to:

·      Explain why continuous integration matters

·      Implement continuous integration using Azure DevOps              

In this lecture, you will be learn how to manage code quality including technical debt, SonarCloud, and other tooling solutions. You will also learn how to manage security policies with open source, OWASP, and WhiteSource Bolt.

·      Lessons:

·      Managing Code Quality

·      Managing Security Policies

·      Lab: 

·      Managing Technical Debt with Azure DevOps and SonarCloud

·      Checking Vulnerabilities using WhiteSource Bolt and Azure DevOps

·      After completing this lecture, students will be able to:

·      Manage code quality including technical debt SonarCloud, and other tooling solutions.

·      Manage security policies with open source, OWASP, and WhiteSource Bolt.

·      Manage code quality including technical debt, SonarCloud, and other tooling solutions.

In this lecture, you will learn how to implement a container strategy including how containers are different from virtual machines and how microservices use containers. You will also learn how to implement containers using Docker.

·      Lessons:

·      Implementing a Container Build Strategy

·      Lab: Existing .NET Applications with Azure and Docker Images

·      After completing this lecture, 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.  

·      Introduction to Continuous Delivery

·      Release strategy recommendations

·      Building a High Quality Release pipeline

·      Choosing a deployment pattern

·      Choosing the right release management tool

·      Lab: Building a release strategy

·      After completing this lecture, 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                       

·      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:

·      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

·      After completing this lecture, 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                      

·      Introduction into Deployment Patterns

·      Implement Blue Green Deployment

·      Feature Toggles

·      Canary Releases

·      Dark Launching

·      AB Testing

·      Progressive Exposure Deployment

·      Lab: 

·      Blue-Green Deployments

·      Traffic Manager

·      After completing this lecture, students will be able to:

·      Describe deployment patterns

·      Implement Blue Green Deployment

·      Implement Canary Release

·      Implement Progressive Exposure Deployment                 

·      Introduction

·      Packaging dependencies

·      Package management

·      Implement a versioning strategy

·      Lab: Updating packages

·      After completing this lecture, students will be able to:

·      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              

·      Introduction

·      Package security

·      Open source software

·      Integrating license and vulnerability scans

·      After completing this lecture, 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                        

·      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

·      Additional Automation Tools

·      Version Control

·      Lab: Deploy to Azure using ARM templates

·      After completing this lecture, 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                  

·      Deployment Models and Options

·      Azure Infrastructure-as-a-Service (IaaS) Services

·      Azure Automation with DevOps

·      Desired State Configuration (DSC)

·      Azure Platform-as-a-Service (PaaS) services

·      Azure Service Fabric

·      Lab: Azure Automation - IaaS or PaaS deployment

·      After completing this lecture, students will be able to:

·      Describe deployment models and services that are available with Azure            

·      Azure Kubernetes Service

·      Lab: Deploy and Scale AKS Cluster

·      After completing this lecture, students will be able to:

·      Deploy and configure a Managed Kubernetes cluster                  

·      Chef

·      Puppet

·      Ansible

·      Cloud-Init

·      Terraform

·      Lab: Provision and configure an App in Azure Using X

·      After completing this lecture, students will be able to:

·      Deploy and configure infrastructure using 3rd party tools and services with Azure, such as Chef, Puppet, Ansible, SaltStack, and Terraform              

·      Security and Compliance Principles with DevOps

·      Azure Security Center

·      Lab: Integrate a scanning extension or tool in an AZ DevOps pipeline/security center

·      After completing this lecture, 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                

·      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

·      Feature Flags

·      After completing this lecture, 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                  

·      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

·      After completing this lecture, 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      

·      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 PostMortems and a Just Culture

·      After completing this lecture, 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              

In this lecture, students will learn about transformation planning, project selection, and team structures.

·      Lessons:

·      Transformation Planning

·      Project Selection

·      Team Structures

·      Lab: Agile Planning and Portfolio Management with Azure Boards

·      After completing this lecture 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              

In this lecture, students will learn about developing a quality strategy and planning for secure development.

·      Lessons:

·      Planning a Quality Strategy

·      Planning Secure Development

·      Lab: Feature Flag Management with LaunchDarkly and AzureDevOps

·      After completing the lecture, students will be able to:

·      Develop a project quality strategy

·      Plan for secure development practices and compliance rules.                  

In this lecture, students will learn about migrating and consolidating artifacts, and migrating and integrating source control measures.

·      Lessons:

·      Migrating and Consolidating Artifacts

·      Migrating and Integrating Source Control

·      Lab: Integrating Azure Repos and Azure Pipelines with Eclipse

·      After completing this lecture, students will be able to:

·      Migrate and consolidate artifacts

·      Migrate and integrate source control measures