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.
Nach Abschluss dieses Seminars haben die Teilnehmer Wissen zu folgenden Themen:
- 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
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Zielgruppe
Dieses Seminar richtet sich an:
Students in this course are interested in implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam.
Vorkenntnisse
Für dieses Seminar werden folgende Vorkenntnisse empfohlen:
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
Schwerpunkte
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
Scaling git for enterprise DevOps
- How to structure your git repo? Mono Repo or Multi-Repo?
- Git Branching workflows
- Collaborating with Pull Requests
- Why care about GitHooks?
- Fostering Internal Open Source
- Git Version
- public projects
- Storing Large files in Git
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 loves Open Source projects
- Azure Pipelines YAML vs Visual Designer
- Setup private agents
- Integrate Jenkins with Azure Pipelines
- Integration external source control with Azure Pipelines
- Analyse & Integrate Docker multi stage builds
Managing application config & secrets
- Demo: SQL Injection attack
- Implement secure & compliant development process
- Rethinking application config data
- Manage secrets, tokens & certificates
- Implement tools for managing security and compliance in a pipeline
Implement a mobile DevOps strategy
- 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
- Provision tester devices for deployment
Implementing Continuous Integration in an Azure DevOps Pipeline
- Continuous Integration Overview
- Implementing a Build Strategy
- Lab: Enabling Continuous Integration with Azure Pipelines
- Lab: Creating a Jenkins Build Job and Triggering CI
Managing Code Quality and Security Policies
- Managing Code Quality
- Managing Security Policies
- Lab: Managing Technical Debt with Azure DevOps and SonarCloud
- Lab: Checking Vulnerabilities using WhiteSource Bolt and Azure DevOps
Implementing a Container Build Strategy
- Lab: Existing .NET Applications with Azure and Docker Images
Design a Release Strategy
- Introduction to Continuous Delivery
- Introduction to Continuous Delivery
- Release strategy recommendations
- Building a High Quality Release pipeline
- Choosing a deployment pattern
- Choosing the right release management tool
- Building a release 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
Set up a Release Management Workflow
- Introduction
- 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
- Building a release management workflow
- 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
- Introduction into Deployment Patterns
- Implement Blue Green Deployment
- Implement Canary Release
- Implement Progressive Exposure Deployment
- Describe deployment patterns
- Implement Blue Green Deployment
- Implement Canary Release
- Implement Progressive Exposure Deployment
Hands-On Lab
- Lab: Microsoft 365 Tenant and Service Management
- Exercise 1: Set up a Microsoft 365 trial tenant
- Exercise 2: Managing Microsoft 365 users, groups, and administration
- Exercise 3: Configuring Rights Management and compliance
- Exercise 4: Monitor and troubleshoot Microsoft 365
Designing a Dependency Management Strategy
- Introduction
- Packaging dependencies
- Package management
- Implement versioning strategy
- 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
Manage security and compliance
- Introduction
- Package security
- Open source software
- Integrating license and vulnerability scans
- 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
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
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
Create and Manage Kubernetes Service Infrastructure
- Learning Objectives
- Azure Kubernetes Service
- Lab Deploy and Scale AKS Cluster
- Module Review Questions
- After completing this module, students will be able to:
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
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
Module 1: Recommend and design system feedback mechanisms
- The inner loop
- Continuous Experimentation midset
- Design practices to measure end-user satisfaction
- Design processes to capture and analyze user feedback from external sources
- Design process to automate application analytics
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 with development team's work management system
Optimize feedback mechanisms
- Site Reliability Engineering
- Analyse 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
Planning for DevOps
- Transformation Planning
- Project Selection
- Team Structures
- Lab: Agile Planning and Portfolio Management with Azure Boards
Planning for Quality and Security
- Planning a Quality Strategy
- Planning Secure Development
- Lab: Feature Flag Management with LaunchDarkly and AzureDevOps
Migrating and Consolidating Artifacts and Tools
- Migrating and Consolidating Artifacts
- Migrating and Integrating Source Control
- Lab: Integrating Azure Repos and Azure Pipelines with Eclipse
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