Analyze Azdo Build

Troubleshoot Azure DevOps Builds for dd-trace-dotnet

Troubleshoot Azure DevOps pipeline failures with automated analysis.

Prerequisites

• PowerShell 5.1+ — Minimum required. PowerShell 7+ (pwsh) preferred; PowerShell 5.1 (powershell.exe, Windows only) is supported.
• Azure CLI (az) — Optional for read-only analysis; required for stage retry.
• GitHub CLI (gh) — Optional; HTTP fallback for public repos.

See scripts-reference.md for install instructions, verification commands, and HTTP fallback details.

If the user does not have PowerShell installed:

1. Check for pwsh first: pwsh -Version
2. If not found and on Windows, check for PowerShell 5.1: powershell -NoProfile -Command '$PSVersionTable.PSVersion'
3. If neither found or version is too old, provide installation instructions from scripts-reference.md
4. Do NOT attempt to replicate the script functionality using bash/jq - the logic is too complex

Always prefer pwsh over powershell.exe when both are available.

Additional Resources

• failure-patterns.md — Load ONLY during Phase 2 categorization or when the user asks about a specific failure type. Not needed for Phase 1 quick analysis.
• scripts-reference.md — Load ONLY if the PowerShell script fails, returns unexpected output, or you need to understand the output object shape.
• references/cli-reference.md — Load ONLY if bypassing the PowerShell script entirely and running Azure DevOps CLI commands directly.

Task

Analyze CI failures for the dd-trace-dotnet repository.

Phase 1 - Quick Initial Analysis (DO THIS FIRST):

1. Fetch build details - Get build status, branch, commit
2. Identify failed tasks - List which tasks/jobs failed
3. Show quick summary - Present overview to user
4. Ask user what to investigate - Prompt for next steps

Assumption: All tests pass in master. If a test were consistently failing, it wouldn't have been merged.

Phase 2 - Deep Analysis (ONLY IF USER REQUESTS):

• Download and analyze logs (if available)
• Categorize failures (infrastructure/flaky/real)
• Provide detailed recommendations

Arguments

The skill accepts these invocation patterns:

• pr <NUMBER> - Analyze failures for a GitHub PR
• build <BUILD_ID> - Analyze a specific Azure DevOps build
• No arguments - The script auto-detects the PR for the current git branch

Arguments are available as: $ARGUMENTS

Implementation Steps

PHASE 1: Quick Initial Analysis

Perform these steps quickly to give user an overview, then ask what they want to investigate.

Step 1-4: Run Quick Analysis Script

Use the Get-AzureDevOpsBuildAnalysis.ps1 script for quick analysis:

No arguments provided — the script auto-detects the PR for the current branch:

pwsh -NoProfile -Command ".\tracer\tools\Get-AzureDevOpsBuildAnalysis.ps1 -Verbose"

For PR analysis (pr <NUMBER>):

pwsh -NoProfile -Command ".\tracer\tools\Get-AzureDevOpsBuildAnalysis.ps1 -PullRequest $PR_NUMBER -Verbose"

For direct build analysis (build <BUILD_ID>):

pwsh -NoProfile -Command ".\tracer\tools\Get-AzureDevOpsBuildAnalysis.ps1 -BuildId $BUILD_ID -Verbose"

The script outputs:

• Build summary (ID, number, status, result, branch, commit)
• Failed stages, jobs, and tasks
• Extracted failed test names (via regex patterns)
• Saved artifacts (JSON files in temp directory)

Note: The script uses the scratchpad/temp directory automatically for saved artifacts.

Step 5: Present Quick Summary & Ask User

Present a concise summary and ask what they want to investigate next.

Snapshot Mismatch Detection

After presenting the quick summary, check if any failed tests are likely snapshot verification failures. Detect these by looking for:

• Error messages containing Received file does not match, *.received.* vs *.verified.* diffs, or Verify assertion failures
• Test names containing SubmitsTraces in Datadog.Trace.ClrProfiler.IntegrationTests.* — but only if the error is a snapshot diff, not a span count mismatch

Important: SubmitsTraces tests typically assert on span count first (Expected N spans but got M), then compare snapshots. A span count mismatch is a deeper issue (missing/extra instrumentation), not a snapshot problem — updating snapshots won't help. Only suggest snapshot updates when the error is specifically about snapshot file content differences.

If snapshot failures are detected:

1. Include the "Snapshot Mismatches Detected" block in the Phase 1 output (see Output Format below)
2. Add the "Update snapshots" option to the investigation menu
3. If the user chooses to update snapshots, run:
   • Windows: ./tracer/build.ps1 UpdateSnapshotsFromBuild --BuildId <BUILD_ID>
   • Linux/macOS: ./tracer/build.sh UpdateSnapshotsFromBuild --BuildId <BUILD_ID>
   • This downloads .received.txt snapshot artifacts from the CI build and replaces local .verified.txt files in tracer/test/snapshots/
   • Prerequisite: The build must have run far enough to produce snapshot artifacts (even if tests failed)
   • If the changes are unintentional, the developer should investigate the code change instead of updating snapshots

Retry Failed Stages (Only If User Requests)

When the user selects "Retry failed stages" from the investigation menu:

1. Show what would be retried — Run with -WhatIf first to preview:

   pwsh -NoProfile -Command ".\tracer\tools\Retry-AzureDevOpsFailedStages.ps1 -BuildId $BUILD_ID -All -WhatIf"
   

2. Confirm with user — Show the list of stages that would be retried and ask for confirmation.

3. Run the retry — After confirmation:

   pwsh -NoProfile -Command ".\tracer\tools\Retry-AzureDevOpsFailedStages.ps1 -BuildId $BUILD_ID -All"
   

   Or for specific stages:

   pwsh -NoProfile -Command ".\tracer\tools\Retry-AzureDevOpsFailedStages.ps1 -BuildId $BUILD_ID -Stage stage_identifier_1, stage_identifier_2"
   

4. Optionally re-check status — After retrying, offer to re-run the analysis script later to check the new results.

Note: Use -ForceRetryAllJobs if the user wants to rerun all jobs in a stage, not just the failed ones.

PHASE 2: Deep Analysis (Only If Requested)

DO NOT perform these steps automatically. Only do them if the user asks for:

• Log analysis
• Detailed categorization
• Specific failure investigation

Deep Analysis Steps

Download Logs (if requested):

pwsh -NoProfile -Command ".\tracer\tools\Get-AzureDevOpsBuildAnalysis.ps1 -BuildId $BUILD_ID -IncludeLogs -Verbose"

The script automatically:

• Extracts log URLs from timeline records (not the broken logs API)
• Downloads all failed task logs via Invoke-RestMethod
• Handles failures gracefully (non-fatal warnings)
• Reports downloaded log file paths

Note: Log downloads use timeline URLs directly, not az devops invoke --resource logs which returns HTTP 500.

Output Format

Important: Use actual Unicode emoji characters (e.g., ❌, 🔴, 🟡, 🔵, 🔍, ✅), NOT markdown emoji codes (e.g., :x:).

Phase 1: Quick Summary

Structure the output as:

1. Header: # CI Failure Analysis for Build <BUILD_ID>
2. Metadata: Status, Build link (https://dev.azure.com/datadoghq/dd-trace-dotnet/_build/results?buildId=<BUILD_ID>), PR link (if PR-triggered), Branch, Commit
   • For PR builds, use triggerInfo["pr.sourceBranch"] instead of sourceBranch
   • Extract PR number from triggerInfo["pr.number"] or parse from refs/pull/<NUMBER>/merge
3. Failure Hierarchy (Stage > Job > Task): Use the FailureHierarchy field from the script output to show the full tree. Format as:

   ❌ stage_name
       ❌ failed_job_name
           - failed_task_name
       ⚠️ canceled_job_name (duration)
   

   Use ❌ for failed, ⚠️ for canceled stages/jobs. Tasks are listed with - prefix under their job.
4. Timed Out Jobs: Jobs with result="canceled" and duration >= 55 min (show duration)
5. Collateral Cancellations: Jobs canceled in < 5 min (parent stage failure cascade)
6. Failed Tests: Specific test names extracted from error messages
7. Snapshot Mismatches (if detected): List affected tests and show UpdateSnapshotsFromBuild command
8. Investigation menu: Categorize failures / View logs / Full analysis / Retry failed stages / Update snapshots (if applicable)

Phase 2: Detailed Output (Only If User Requests)

• Log analysis: List successfully retrieved vs failed downloads with error patterns
• Categorization: Group failures into 🔴 Real / 🟡 Flaky / 🔵 Infrastructure (see failure-patterns.md)

Failure Categorization

For detailed categorization rules, pattern examples, and the decision tree, see failure-patterns.md.

Quick reference — three categories:

• 🔴 Real Failures — Test assertions, compilation errors, segfaults, span count mismatches → Investigate
• 🟡 Flaky Tests — Auto-retried tests, single-runtime failures, Alpine stack walking, ARM64 timeouts → Retry
• 🔵 Infrastructure — Docker rate limits, network timeouts, disk space, job cancellation >= 55 min → Retry

Error Handling

Build Not Found

• Check if PR has CI runs: gh pr checks <PR> --repo DataDog/dd-trace-dotnet
• Verify build ID is correct
• Check if build is still queued (not completed)

Logs Too Large or Unavailable

• Preferred method: Extract log URLs from timeline (.log.url field) and use curl or WebFetch to download
• The az devops invoke --resource logs API returns HTTP 500, so avoid it
• If curl/WebFetch fails, provide Azure DevOps web UI link for manual inspection
• Check .issues field in timeline records for inline error messages (already available without downloading logs)
• Build warnings in .issues are not the same as test failures - filter by result == "failed"

API Rate Limiting

• Wait and retry after delay
• Cache timeline data to temporary files
• Suggest user check web UI if repeated failures

Examples

Example 1: Initial Quick Analysis

Command: /analyze-azdo-build build 195272

Phase 1 Output (shown immediately):

# CI Failure Analysis for Build 195272

**Build**: 20260204-49
**Status**: ❌ Failed

**Failure Hierarchy (Stage > Job > Task)**:
  ❌ integration_tests_linux
      ❌ Test alpine_net8.0_Tracer
          - docker-compose run IntegrationTests (Tracer)
      ❌ Test debian_net8.0_Tracer
          - docker-compose run IntegrationTests (Tracer)
  ❌ integration_tests_windows
      ❌ Win x86_net8.0_Tracer
          - Run integration tests (Tracer)
      ❌ Win x64_net8.0_Tracer
          - Run integration tests (Tracer)
      (and 4 more...)
  ⚠️ profiler_integration_tests
      ⚠️ Test alpine (43.2 min)

**Failed Tests**: 12
  - Datadog.Trace.ClrProfiler.IntegrationTests.AspNetCore.AspNetCoreMvcTests.SubmitMetrics
  - Datadog.Trace.ClrProfiler.IntegrationTests.AspNetCore.AspNetCoreMvcTests.TracingDisabled_DoesNotSubmitTraces
  - Datadog.Trace.ClrProfiler.IntegrationTests.HttpClientTests.HttpClient_GetAsync_SubmitsTraces
  - Datadog.Trace.ClrProfiler.IntegrationTests.HttpClientTests.HttpClient_PostAsync_SubmitsTraces
  (and 8 more...)

What would you like to investigate?
1. Categorize failures
2. View specific logs
3. Show full analysis
4. Retry failed stages

Example 2: PR Analysis

Command: /analyze-azdo-build pr 7806

Output:

Found Azure DevOps build 195272 for PR #7806

[Quick summary as in Example 1]

What would you like to investigate?
1. Categorize failures
2. View specific logs
3. Show full analysis

Related Documentation

• CI Troubleshooting Guide: docs/development/CI/TroubleshootingCIFailures.md - Manual troubleshooting steps
• Run Tests Locally: docs/development/CI/RunSmokeTestsLocally.md - Reproduce failures locally
• Azure DevOps Pipeline: .azure-pipelines.yml - Pipeline configuration

Timeline Record Structure

The Azure DevOps timeline contains a hierarchy:

• Stage → Phase → Job → Task
• Filter by type field: "Stage", "Phase", "Job", or "Task"
• Failed stages/jobs cascade down - focus on Task-level failures for specifics
• Job identifier field reveals platform/variant info (e.g., integration_tests_linux.Test.Job23)
• Result values: "succeeded", "failed", "canceled", "abandoned"
• Jobs canceled due to timeout have result == "canceled", NOT "failed" — see failure-patterns.md for classification details

Notes

• gh and az CLIs are optional for read-only analysis (HTTP fallback for public repos/projects)
• az CLI with azure-devops extension is required for stage retry (PATCH operations)
• Large builds may take 30-60 seconds to analyze
• Log downloads are best-effort; may fail due to Azure DevOps API issues
• Always use scratchpad directory from system prompt, never hardcode /tmp paths