AZ-400 - MS Azure DevOps Solutions: Implement Deployment Patterns


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

This 9-video course, which helps prepare learners for AZ-400 Microsoft Azure DevOps Solutions certification exam, explores several deployment patterns, and how to implement a deployment pattern by using Azure DevOps. In this course, you will learn to identify and implement a suitable deployment pattern based on an organization's business needs. You will examine Blue/Green deployments which allow testing of the new application version before sending production traffic to it, along with the Canary deployment method to roll out new versions of an application without significant outage or disruption times. Then learn how progressive exposure deployments allow one to troubleshoot and reduce the scale of the impact of performance degradation. The course demonstrates how to perform a multistage deployment, and explores triggers, approvals, and release gates in the release pipeline. Explore deployment groups, a collection of target machines, in Azure pipelines. You will learn to deploy applications to Azure Kubernetes Services Containers. Finally, you will learn how use the Azure Service Fabric to distribute microservice applications.



Expected Duration (hours)
0.5

Lesson Objectives

AZ-400 - MS Azure DevOps Solutions: Implement Deployment Patterns

  • identify the subject areas covered in this course
  • use blue-green deployment methods to reduce the impact of service interruptions
  • use canary deployment patterns to roll out releases to a subset of users or servers
  • utilize deployment rings to progressively roll out deployments
  • deploy applications to multiple endpoints that may consist of different technologies
  • deploy applications to different groups in Azure Pipelines
  • deploy applications to Azure Kubernetes Services containers
  • deploy an application to Azure Service Fabric
  • summarize the key concepts covered in this course
  • Course Number:
    it_clazdo_11_enus

    Expertise Level
    Expert