MCE Microsoft Azure DevOps Certification Camp (1 Course, 1 Exam, 1 Cert)

Description

The Microsoft Certified Expert – Azure DevOps Training & Certification 5 Day Boot Camp focuses developing knowledge and skills to 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.

While attending this 5 day camp – students will take one exam (AZ-400) to achieve the Microsoft Certified Expert Azure DevOps Engineer certification.  This hands on, instructor led live camp teaches the knowledge to develop / deploy applications in an Azure environment along with the knowledge needed for the certification exams (administered while attending camp).

The Microsoft Certified Azure DevOps boot camp is taught using Microsoft Official Courseware –

AZ-400T00: Designing and Implementing Microsoft DevOps Solutions

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

Topics Covered in this Official Boot Camp:

Planning for DevOps

Lessons

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

Getting started with Source Control

Lessons

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

Scaling Git for enterprise DevOps

Lessons

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

Consolidating Artifacts & Designing a Dependency Management Strategy

Lessons

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

Implementing Continuous Integration with Azure Pipelines

Lessons

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

Managing Application Config and Secrets

Lessons

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

Managing Code Quality and Security Policies

Lessons

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

Implementing a Container Build Strategy

Lessons

Implementing a Container Build Strategy
Lab : 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

Manage Artifact versioning, security & compliance

Lessons

Package security
Open source software
Integrating license and vulnerability scans
Implement a versioning strategy
Lab : 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

Design a Release Strategy

Lessons

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

Set up a Release Management Workflow

Lessons

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

Implement an appropriate deployment pattern

Lessons

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

After completing this module, students will be able to:

Describe deployment patterns
Implement Blue Green Deployment
Implement Canary Release
Implement Progressive Exposure Deployment

Implement process for routing system feedback to development teams

Lessons

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

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

Infrastructure and Configuration Azure Tools

Lessons

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

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

Azure Deployment Models and Services

Lessons

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 : 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

Create and Manage Kubernetes Service Infrastructure

Lessons

Azure Kubernetes Service
Lab : 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

Third Party Infrastructure as Code Tools available with Azure

Lessons

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

Implement Compliance and Security in your Infrastructure

Lessons

Security and Compliance Principles with DevOps
Azure security Center
Lab : 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

Recommend and design system feedback mechanisms

Lessons

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

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

Optimize feedback mechanisms

Lessons

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