If it’s a deployment issue, check release logs, environment logs, and service connection permissions. Example scenario: If your deployment fails with an “Authentication error,” you might find in logs that the Azure service connection has expired credentials. Once renewed, re-running the pipeline deploys successfully. Extra tip: You can also use pipeline variables to print debug info, like: variables: system.debug: true 3⃣ What kind of analytics or reports can you generate in Azure DevOps?
Azure DevOps includes built-in Analytics and Reporting tools to help track performance,
quality, and productivity.
Follow:
Common reports:
- Pipeline Analytics: Success/failure trends, duration, frequency of builds.
- Test Analytics: Test pass rate, flaky tests, average test duration.
- Work Item Reports: Burndown charts, velocity, bug trends.
- Deployment Frequency: How often code is shipped to each environment.
Example scenario:
You might create a dashboard showing:
- “Build success rate over the last 30 days.”
- “Average build time.”
- “Top 10 failed pipelines.”
This helps identify slow or unstable pipelines early.
Advanced:
You can connect Azure DevOps Analytics to Power BI for custom reports (like “number of
deployments per team per sprint”).
4⃣ How can you integrate Application Insights for monitoring
post-deployment?
Application Insights (App Insights) is an Azure service that helps monitor your
application’s health and usage after deployment — it collects metrics, logs, traces, and user
data.
Integration steps:
Add the Application Insights SDK to your .NET or web project:
dotnet add package Microsoft.ApplicationInsights.AspNetCore