Microsoft Azure Devops Engineer - Bootcamp

Microsoft Azure Devops Engineer - Bootcamp Course Overview

This 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.

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• 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 artifacts and source control will also be covered.

• Virtual Learning

• This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, will send you all the information needed before the start of the course and you can test the logins.

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Skills Gained

• 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.

Who will the Course Benefit?

Students in this course are interested in implementing DevOps processes like dependency management, application infrastructure and the management and configuration of that infrastructure; or in passing the Microsoft Azure DevOps Solutions certification exam.

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Requirements

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.

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• 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.

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• 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.

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

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

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Course Contents

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'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.



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 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

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

Moduel 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



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



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

Lab : Feature Flags

Module 2: 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

Module 3: 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 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 SecurityIn 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