This AZ400 course provides the knowledge and skills to implement DevOps processes. Students will learn how to use source control, scale Git for an enterprise, and implement and manage build infrastructure. We will also look at continuous integration, learning how to implement continuous integration in an Azure DevOps pipeline, managing code quality and security principles and implementing a container build strategy.
The course focuses on implementing continuous delivery with students learning how to design a release strategy, set up a release management workflow, and implement an appropriate deployment pattern, and implementing dependency management where students learn how to design a dependency management strategy and manage security and compliance.
We examine the deployment of application infrastructure in DevOps pipelines - how to implement infrastructure as code and configuration management, how to provision Azure infrastructure using common automation tools, and how to deploy an application infrastructure using various Azure services and deployment methodologies. Students will also learn how to integrate 3rd party deployment tools with Azure, such as Chef and Puppet to incorporate compliance and security into the release pipeline.
Our course provides the knowledge and skills needed to implement continuous feedback, working on how to recommend and design system feedback mechanisms, implement a process for routing system feedback to development teams, and optimize feedback mechanisms.
Finally, we will look at designing a DevOps strategy. Students will learn how to plan for transformation, select a project, and create team structures. They will also learn how to develop quality and security strategies, and planning for migrating and consolidating artefacts and source control will also be covered.
Students in this course are interested in implementing DevOps processes like dependency management, application infrastructure and the management and configuration of that infrastructure and are also interested in passing the Microsoft Azure DevOps Solutions certification exam.
By actively participating in this course, you will learn about the following:
Describe the benefits of using source control.
Migrate from TFVC to Git.
Scale Git for Enterprise DevOps.
Implement and manage build infrastructure.
Manage application config & secrets.
Implement a mobile DevOps strategy.
Explain why continuous integration matters.
Implement continuous integration using Azure DevOps.
Configure builds and the options available.
Create an automated build workflow.
Integrate other build tooling with Azure DevOps.
Create hybrid build processes.
Describe what is meant by code quality and how it is measured.
Detect code smells.
Integrate automated tests for code quality.
Report on code coverage during testing.
Add tooling to measure technical debt.
Detect open source and other licensing issues.
Implement a container build strategy.
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.
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.
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.
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.
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 system.
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.
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.
Develop a project quality strategy.
Plan for secure development practices and compliance rules.
Migrate and consolidate artifacts.
Migrate and integrate source control measures.
Fundamental knowledge about Azure, version control, Agile software development, and core software development principles is required, along with experience with virtual machines and containers, and some exposure to automation and scripting. Students should also have knowledge of general application development and deployment processes.
It is recommended that you have experience working in an IDE, as well as some knowledge of the Azure portal. However, students who may not have a technical background in these technologies, but who are curious about DevOps practices as a culture shift, should be able to follow the procedural and expository explanations of continuous integration regardless. Experience working in a software development or operations environment with either Windows or Linux would be helpful but is not essential, as would experience in an organization that delivers software.
Students who attend this course are interested in implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam.
M-AZ-400T01
Module 1: Getting started with Source Control
What is Source Control?
Benefits of Source Control
Types of source control systems
Introduction to Azure Repos
Migrating from TFVC to Git
Authenticating to your Git Repos
Module 2: Scaling git for enterprise DevOps
How to structure your git repo
Git Branching workflows
Collaborating with Pull Requests
Why care about GitHooks?
Fostering Internal Open Source
Git Version
Public projects
Files in Git
Module 3: Implement & Manage Build Infrastructure
The concept of pipelines in DevOps
Azure Pipelines
Evaluate use of Hosted vs Private Agents
Agent pools
Pipelines & Concurrency
Azure DevOps and Open Source projects
Azure Pipelines YAML vs Visual Designer
Setup private agents
Integrate Jenkins with Azure Pipelines
Integration external source control with Azure Pipelines
Analyze & Integrate Docker multi-stage builds
Module 4: Managing Application Config & Secrets
Introduction to Security
Implement secure & compliant development process
Rethinking application config data
Manage secrets, tokens & certificates
Implement tools for managing security and compliance in a pipeline
Module 5: 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
M-AZ-400T02
Module 1: Implementing Continuous Integration in an Azure DevOps Pipeline.
In this module, you will 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.
Implementing a Build Strategy
Lab: Enabling Continuous Integration with Azure Pipelines
Lab: Creating a Jenkins Build Job and Triggering CI
Module 2: Managing Code Quality and Security Policies
In this module, you will 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
Lab: Checking Vulnerabilities using WhiteSource Bolt and Azure DevOps
Module 3: Implementing a Container Build Strategy
In this module, 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.
Implementing a Container Build Strategy
Lab: Existing .NET Applications with Azure and Docker Images
M-AZ-400T03
Module 1: 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
Lab: Building a release strategy
Module 2: 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: Automating your infrastructure deployments in the Cloud with Terraform and Azure Pipelines
Lab: Setting up secrets in the pipeline with Azure Key vault
Lab: Setting up and Running Load Tests
Lab: Setting up and Running Functional Tests
Lab: Using Azure Monitor as release gate
Lab: Creating a Release Dashboard
Module 3: Implement an Appropriate Deployment Pattern
Introduction into Deployment Patterns
Implement Blue Green Deployment
Feature Toggles
Canary Releases
Dark Launching
AB Testing
Progressive Exposure Deployment
Lab: Blue-Green Deployments
Lab: Traffic Manager
M-AZ-400T04
Module 1: Designing a Dependency Management Strategy
Introduction
Packaging dependencies
Package management
Implement a versioning strategy
Lab: Updating packages
Module 2: Manage Security and Compliance
Introduction
Package security
Open source software
Integrating license and vulnerability scans
M-AZ-400T05
Module 1: Infrastructure and Configuration Azure Tools
Learning Objectives
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
Module Review Questions
Module 2: Azure Deployment Models and Services
Learning Objectives
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
Module Review Questions
Module 3: Create and Manage Kubernetes Service Infrastructure
Learning Objectives
Azure Kubernetes Service
Lab Deploy and Scale AKS Cluster
Module Review Questions
Module 4: Third Party and Open Source Tools available with Azure
Learning Objectives
Chef
Puppet
Ansible
Cloud-Init
Terraform
Lab Provision and configure an App in Azure Using X
Module Review Questions
Module 5: Implement Compliance and Security in your Infrastructure
Learning Objectives
Security and Compliance Principles with DevOps
Azure Security Center
Lab Integrate a scanning extension or tool in an AZ DevOps pipeline/security center
Module Review Questions
M-AZ-400T06
Module 1: Recommend and Design System Feedback Mechanisms
Learning Objectives
The inner loop
Continuous Experimentation mindset
Design practices to measure end-user satisfaction
Design processes to capture and analyse user feedback
Design process to automate application analytics
Lab: Integration between Azure DevOps and Teams
Lab: Feature Flags
Module 2: Implement Process for Routing System Feedback to Development Teams
Learning Objectives
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
Module 3: Optimize Feedback Mechanisms
Learning Objectives
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
M-AZ-400T07
Module 1: Planning for DevOps
In this module, students will learn about transformation planning, project selection, and team structures.
Transformation Planning
Project Selection
Team Structures
Lab: Agile Planning and Portfolio Management with Azure Boards
Module 2: Planning for Quality and Security
In this module, students will learn about developing a quality strategy and planning for secure development.
Planning a Quality Strategy
Planning Secure Development
Lab: Feature Flag Management with LaunchDarkly and AzureDevOps
Module 3: Migrating and Consolidating Artifacts and Tools
In this module, students will learn about migrating and consolidating artifacts, and migrating and integrating source control measures.
Migrating and Consolidating Artifacts
Migrating and Integrating Source Control
Lab: Integrating Azure Repos and Azure Pipelines with Eclipse
This course prepares you for the Microsoft Certified AZ-400 exam
This training course provided by Skilltec is accredited through Global Knowledge Training Ltd. Global Knowledge Training Ltd are the authorised learning partner; all trademarks and partner statuses are provided through them.