Azure for DevOps: Continuous Feedback

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.

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