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Azure for DevOps: Continuous Feedback

Azure for DevOps: Continuous Feedback

2h 15mIntermediate2020-10-28

Authors

Vishwas Lele

Vishwas Lele

Chief Technology Officer at Applied Information Sciences

Course details

Feedback loops help ensure that new features are built correctly—without negatively impacting existing features. In this course, explore the topic of continuous feedback, an important part of DevOps culture and a key domain in the Designing and Implementing Microsoft DevOps Solutions exam (AZ-400). Find out how to implement various components of continuous feedback: designing its mechanisms, routing it to development, and optimizing feedback mechanisms. Learn about essential features of Azure tools, including Azure Monitor, which you can use to maximize the availability and performance of your applications. Azure DevOps engineers can use this course to prepare for the AZ-400 certification exam.

Skills covered

DevOps ToolsDevOpsAzureCloud ServicesCloud ComputingMicrosoftDeep Dive (X:Y)

Concepts

0. Introduction

  • 01 - Introduction to continuous feedback

1. System Feedback Mechanisms

  • 02 - Introduction to build-measure-learn
  • 03 - Azure Monitor, metrics, logs, and alerts
  • 04 - Azure Application Insights
  • 05 - Integrate Application Insights in web application, part 1
  • 06 - Integrate Application Insights in web application, part 2
  • 07 - Application Insights Metrics Explorer
  • 08 - Azure Log Analytics
  • 09 - App mapping in Application Insights
  • 10 - Live Metrics Stream in Application Insights
  • 11 - Azure Monitor Alerts

2. Routing Feedback to Development Teams

  • 12 - Introduction to Visual Studio App Center
  • 13 - Visual Studio App Center Diagnostics
  • 14 - Integrate App Center Diagnostics in client application
  • 15 - Visual Studio App Center Analytics
  • 16 - Get feedback using Microsoft Test & Feedback extension

3. Visualize Feedback

  • 17 - Introduction to visualization - Dashboards, workbooks, Power BI, Grafana, custom solution
  • 18 - Developing monitoring and status dashboards
  • 19 - Azure Monitor workbooks

4. Perform Ongoing Tuning

  • 20 - Why user feedback
  • 21 - Twitter Sentiment Analysis - Enginuity, Revealed Context, Steamcrab, MeaningCloud, and SocialMention
  • 22 - Track user feedback with Apdex
  • 23 - Remove meaningless alerts and automate
  • 24 - Autoscaling in Azure for performance optimization

Conclusion

  • 25 - Next steps

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