Microsoft Designing and Implementing Microsoft DevOps solutions

Microsoft Designing and Implementing Microsoft DevOps solutions Course Overview

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.

•

Skills Gained

• 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

•

Who will the Course Benefit?

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

•

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.

•

NOTE: Course technical content is subject to change without notice.

---

Course Contents

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 StrategyLab : 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 strategyLab : 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 DeploymentLab : 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 SystemsLab : 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 ToolsLab : 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 FabricLab : 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 ServiceLab : 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 CenterLab : 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 analyticsLab : 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