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Cloud Computing and Virtualisation

Microsoft AZ-400T00 – Designing and Implementing Microsoft DevOps Solutions

  • Length 5 days
  • Price $4510 inc GST
  • Version A
Course overview
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Why study this course

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

Please note: Microsoft has retired Azure training from the Software Assurance Training Voucher (SATV) catalogue. From 1st February 2020 we are no longer able to accept SATVs for this course.

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What you’ll learn

After completing this course, 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 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

Microsoft Azure at DDLS

DDLS is your best choice for training and certification in any of Microsoft’s leading technologies and services. We’ve been delivering effective training across all Microsoft products for over 30 years, and are proud to be Australia’s First and largest Microsoft Gold Learning Solutions Partner. All DDLS Microsoft courses follow Microsoft Official Curriculum (MOC) and are led by Microsoft Certified Trainers. Join more than 5,000 students who attend our quality Microsoft courses every year.

Stay ahead of the technology curve

Don’t let your tech outpace the skills of your people

Quality instructors and content

Expert instructors with real world experience and the latest vendor- approved in-depth course content.

Partner-Preferred Supplier

Chosen and awarded by the world’s leading vendors as preferred training partner.

Ahead of the technology curve

No matter your chosen technologies or platforms, we can help you stay one step ahead.

Who is the course for?

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

We can also deliver and customise this training course for larger groups – saving your organisation time, money and resources. For more information, please contact us on 1800 853 276.

Course subjects

Module 1: Planning for DevOps


  • Transformation Planning

  • Project Selection

  • Team Structures

  • Migrating to Azure DevOps

Lab : Agile Planning and Portfolio Management with Azure Boards

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

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

Module 4: Consolidating Artifacts & Designing a Dependency Management Strategy


  • Packaging Dependencies

  • Package Management

  • Migrating and Consolidating Artifacts

Lab : Updating Packages

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 PipelinesLab : Integrating External Source Control with Azure PipelinesLab : Integrate Jenkins with Azure PipelinesLab : Deploying a Multi-Container Application

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

Module 7: Managing Code Quality and Security Policies


  • Managing Code Quality

  • Managing Security Policies

Lab : Managing Technical Debt with Azure DevOps and SonarCloud

Module 8: Implementing a Container Build Strategy


  • Implementing a Container Build Strategy

Lab : Modernizing Existing ASP.NET Apps with Azure

Module 9: Manage Artifact versioning, security & compliance


  • Package security

  • Open source software

  • Integrating license and vulnerability scans

  • Implement a versioning strategy (git version)

Lab : Manage Open Source Security and License with WhiteSource

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

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 YAMLLab : Setting up secrets in the pipeline with Azure Key vaultLab : Setting up and Running Functional TestsLab : Using Azure Monitor as release gateLab : Creating a release Dashboard

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 Deployment

Lab : Feature Flag Management with LaunchDarkly and Azure DevOps

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 Systems

Lab : Monitoring Application Performance

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 Tools

Lab : Azure Deployments using Resource Manager Templates

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 Fabric

Lab : Azure Automation – IaaS or PaaS deployment

Module 16: Create and Manage Kubernetes Service Infrastructure


  • Azure Kubernetes Service

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

Module 17: Third Party Infrastructure as Code Tools available with Azure


  • Chef

  • Puppet

  • Ansible

  • Terraform

Lab : Infrastructure as CodeLab : Automating Your Infrastructure Deployments in the Cloud with Terraform and Azure Pipelines

Module 18: Implement Compliance and Security in your Infrastructure


  • Security and Compliance Principles with DevOps

  • Azure security Center

Lab : Implement Security and Compliance in an Azure DevOps Pipeline

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 analytics

Lab : Integration between Azure DevOps and Teams

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


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.

Terms & Conditions

The supply of this course by DDLS is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.

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