Designing and Implementing Microsoft DevOps solutions (AZ-400)
- Code training M-AZ400
- Duur 4 dagen
- Taal Engels
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Deze training is in de volgende formats beschikbaar:
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Klassikale training
Klassikaal leren
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Op locatie klant
Op locatie klant
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Virtueel leren
Virtueel leren
Vraag deze training aan in een andere lesvorm.
Trainingsbeschrijving
Naar bovenThis 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.
Data
Naar boven-
- Methode: Virtueel leren
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Datum:
28-31 oktober, 2024
Startgarantie
- Locatie: Virtueel-en-klassikaal
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- Methode: Virtueel leren
- Datum: 26-29 november, 2024
- Locatie: Virtueel-en-klassikaal
- Taal: Engels
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- Methode: Virtueel leren
- Datum: 10-13 december, 2024
- Locatie: Virtueel-en-klassikaal
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- Methode: Virtueel leren
- Datum: 27-30 januari, 2025
- Locatie: Virtueel-en-klassikaal
- Taal: Engels
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- Methode: Virtueel leren
- Datum: 24-27 februari, 2025
- Locatie: Virtueel-en-klassikaal
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- Methode: Virtueel leren
- Datum: 17-20 maart, 2025
- Locatie: Virtueel-en-klassikaal
Doelgroep
Naar bovenStudents in this course are interested in implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam.
Trainingsdoelstellingen
Naar boven- 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
Inhoud training
Naar boven- 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
- 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
- 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
- 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
- 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
- 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
- Managing Security Policies
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
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
- Package security
- Open source software
- Integrating license and vulnerability scans
- Implement a versioning strategy
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
- 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
- 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
- Introduction to Deployment Patterns
- Implement Blue Green Deployment
- Feature Toggles
- Canary Releases
- Dark Launching
- AB Testing
- Progressive Exposure Deployment
After completing this module, students will be able to:
- Describe deployment patterns
- Implement Blue Green Deployment
- Implement Canary Release
- Implement Progressive Exposure Deployment
- 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
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 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
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
- 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
After completing this module, students will be able to:
- Describe deployment models and services that are available with Azure
- Azure Kubernetes Service
After completing this module, students will be able to:
- Deploy and configure a Managed Kubernetes cluster
- 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
- Security and Compliance Principles with DevOps
- Azure security Center
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
- 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
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
- 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
Voorkennis
Naar bovenFundamental 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.
Examen
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- M-AZ400
- Designing and Implementing Microsoft DevOps solutions (AZ-400)
- Cloud Computing
- M-AZ400 | Designing and Implementing Microsoft DevOps solutions (AZ-400) | Training Course | Microsoft.
- Microsoft