Designing and Implementing Microsoft DevOps solutions (EN)

Popis kurzu

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

Cíle kurzu

• 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 

Určeno pro

Obsah kurzu

• Transformation Planning


• Project Selection


• Team Structures


• Migrating to Azure DevOps


• Lab : Agile Planning and Portfolio Management with Azure Boards

• 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


• Lab : Version Controlling with Git in Azure Repos

• Identifying Technical Debt


• Knowledge Sharing within Teams


• Modernizing Development Environments with Codespaces


• Lab : Sharing Team Knowledge using Azure Project Wikis

• How to Structure Your Git Repo


• Git Branching Workflows


• Collaborating with Pull Requests in Azure Repos


• Why Care About Git Hooks


• Fostering Inner Source


• Managing Git Repositories


• Lab : Version Controlling with Git in Azure Repos

• The Concept of Pipelines in DevOps


• Azure Pipelines


• Evaluate use of Hosted versus Self-Hosted Agents


• Agent Pools


• Pipelines and Concurrency


• Azure DevOps and Open-Source Projects (Public Projects)


• Azure Pipelines YAML versus Visual Designer


• Lab : Configuring Agent Pools and Understanding Pipeline Styles

• Continuous Integration Overview


• Implementing a Build Strategy


• Integration with Azure Pipelines


• Integrating External Source Control with Azure Pipelines


• Set Up Self-Hosted Agents


• Lab : Enabling Continuous Integration with Azure Pipelines


• Lab : Integrating External Source Control with Azure Pipelines

• Introduction to Security


• Implement a Secure Development Process


• Rethinking Application Configuration Data


• Manage Secrets, Tokens, and Certificates


• Integrating with Identity Management Systems


• Implementing Application Configuration


• Lab : Integrating Azure Key Vault with Azure DevOps

• GitHub Actions


• Continuous Integration with GitHub Actions


• Securing Secrets for GitHub Actions


• Lab : GitHub Actions Continuous Integration

• Packaging Dependencies


• Package Management


• Migrating and Consolidating Artifacts


• Package Security


• Implementing a Versioning Strategy


• Lab : Package Management with Azure Artifacts

• Introduction to Continuous Delivery


• Release Strategy Recommendations


• Building a High-Quality Release pipeline


• Choosing the Right Release Management Tool


• Lab : Controlling Deployments using Release Gates


• Lab : Creating a Release Dashboard

• Create a Release Pipeline


• Provision and Configure Environments


• Manage and Modularize Tasks and Templates


• Configure Automated Integration and Functional Test Automation


• Automate Inspection of Health


• Lab : Configuring Pipelines as Code with YAML


• Lab : Setting up and Running Functional Tests

• 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

• Infrastructure as Code and Configuration Management


• Create Azure Resources using ARM Templates


• Create Azure Resources using Azure CLI


• Azure Automation with DevOps


• Desired State Configuration (DSC)


• Lab : Azure Deployments using Resource Manager Templates

• Chef


• Puppet


• Ansible


• Terraform


• Lab : Automating Infrastructure Deployments in the Cloud with Terraform and Azure Pipelines


• Lab : Deploying Apps with Chef on Azure


• Lab : Deploy App with Puppet on Azure


• Lab : Ansible with Azure

• Implementing a Container Build Strategy


• Implementing Docker Multi-Stage Builds


• Lab : Modernizing Existing ASP.NET Apps with Azure

• Azure Kubernetes Service


• Kubernetes Tooling


• Integrating AKS with Pipelines


• Lab : Deploying a Multi-Container Application to Azure Kubernetes Service

• 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 with Application Insights

• Site Reliability Engineering


• Design Practices to Measure End-User Satisfaction


• Design Processes to Capture and Analyze User Feedback


• Design Processes to Automate Application Analytics


• Managing Alerts


• Blameless Retrospectives and a Just Culture


• Lab : Integration between Azure DevOps and Teams

• Security in the Pipeline


• Azure Security Center


• Lab : Implement Security and Compliance in an Azure DevOps Pipeline

• Open-Source Software


• Managing Security and Compliance Policies


• Integrating License and Vulnerability Scans


• Lab : Managing Technical Debt with SonarQube and Azure DevOps

Studijní materiály