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Review logs to diagnose pipeline issues

  • Artykuł

TFS 2018

Pipeline logs provide a powerful tool for determining the cause of pipeline failures, and verbose logs can be configured to provide more diagnostic information.

A typical starting point is to review the logs in your completed build or release. You can view logs by navigating to the pipeline run summary and selecting the job and task. If a certain task is failing, check the logs for that task. Configure verbose logs to include more diagnostic information.

Configure verbose logs

To assist with troubleshooting, you can configure your logs to be more verbose.

  • To configure verbose logs for a single run, you can start a new build by choosing Queue build, and setting the value for the system.debug variable to true.

  • To configure verbose logs for all runs, edit the build, navigate to the Variables tab, and add a variable named system.debug, set its value to true, and select to Allow at Queue Time.

  • To configure verbose logs for a YAML pipeline, add the system.debug variable in the variables section:

    variables:
  system.debug: true

View and download logs

To download all logs, navigate to the build results for the run, choose Download all logs as zip.

In addition to the pipeline diagnostic logs, the following specialized log types are available, and may contain information to help you troubleshoot.

Worker diagnostic logs

You can get the diagnostic log of the completed build generated by the worker process on the build agent. Look for the worker log file that has the date and time stamp of your completed build. For example, worker_20160623-192022-utc_6172.log.

Agent diagnostic logs

Agent diagnostic logs provide a record of how the agent was configured and what happened when it ran. Look for the agent log files. For example, agent_20160624-144630-utc.log. There are two kinds of agent log files:

  • The log file generated when you ran config.cmd. This log:

    • Includes this line near the top: Adding Command: configure

    • Shows the configuration choices made.

  • The log file generated when you ran run.cmd. This log:

    • Cannot be opened until the process is terminated.

    • Attempts to connect to your Azure DevOps organization or Team Foundation Server.

    • Shows when each job was run, and how it completed

Both logs show how the agent capabilities were detected and set.

Other logs

Inside the diagnostic logs you will find environment.txt and capabilities.txt.

The environment.txt file has various information about the environment within which your build ran. This includes information like what tasks are run, whether or not the firewall is enabled, PowerShell version info, and some other items. We continually add to this data to make it more useful.

The capabilities.txt file provides a clean way to see all capabilities installed on the build machine that ran your build.

HTTP trace logs

Important

HTTP traces and trace files can contain passwords and other secrets. Do not post them on a public sites.

Use built-in HTTP tracing

If your agent is version 2.114.0 or newer, you can trace the HTTP traffic headers and write them into the diagnostic log. Set the VSTS_AGENT_HTTPTRACE environment variable before you launch the agent.listener.

Windows:
    set VSTS_AGENT_HTTPTRACE=true

macOS/Linux:
    export VSTS_AGENT_HTTPTRACE=true

Use full HTTP tracing - Windows

  1. Start Fiddler.

  2. We recommend you listen only to agent traffic. File > Capture Traffic off (F12)

  3. Enable decrypting HTTPS traffic. Tools > Fiddler Options > HTTPS tab. Decrypt HTTPS traffic

  4. Let the agent know to use the proxy:

    set VSTS_HTTP_PROXY=http://127.0.0.1:8888

  5. Run the agent interactively. If you're running as a service, you can set as the environment variable in control panel for the account the service is running as.

  6. Restart the agent.

Use full HTTP tracing - macOS and Linux

Use Charles Proxy (similar to Fiddler on Windows) to capture the HTTP trace of the agent.

  1. Start Charles Proxy.

  2. Charles: Proxy > Proxy Settings > SSL Tab. Enable. Add URL.

  3. Charles: Proxy > Mac OSX Proxy. Recommend disabling to only see agent traffic.

    export VSTS_HTTP_PROXY=http://127.0.0.1:8888

  4. Run the agent interactively. If it's running as a service, you can set in the .env file. See nix service

  5. Restart the agent.

Capture custom logs

In addition to the built-in logs, you can use tasks and scripts to capture custom logs in your pipeline. The following examples show how to capture resource utilization, network traces, memory dumps, and perfview traces. If you are working with customer support, you may be asked to capture logs such as these.

Retrieve custom logs

After capturing a custom log in your pipeline, you must upload it so that it can be retrieved for review. You can upload the custom log as part of the standard pipeline logs, or you can upload it as an artifact. The examples in the following sections show both ways of uploading custom logs.

Upload a log as part of the standard logs

To upload the custom log as part of the standard pipeline logs, use ##vso[task.uploadfile] to upload the desired file. To use this command, specify it as part of a script command as shown in the following example. The file can be downloaded and viewed as part of the standard pipeline logs. The ##vso[task.uploadfile] method is good for uploading a single log file. If you have more than one log file, you must use a separate ##vso[task.uploadfile] line for each file.

- pwsh: Write-Host "##vso[task.uploadfile]$(Agent.TempDirectory)\resource-usage.txt"

For more information, see Logging commands and UploadFile: Upload a file that can be downloaded with task logs.

Upload a log as a pipeline artifact

To upload a custom log as a pipeline artifact, use the PublishPipelineArtifact@1 task. PublishPipelineArtifact@1 can upload a single file or the files in a directory path, and is useful if you have many custom log files to upload.

- task: PublishPipelineArtifact@1
  inputs:
    targetPath: '$(Pipeline.Workspace)/s/trace'
    artifact: 'file_result.pcap'
    publishLocation: 'pipeline'

For more information, see Publish Pipeline Artifacts.

Capture resource utilization details

When using Azure DevOps Services, you can see resource utilization in the logs, including disk usage, memory usage, and CPU utilization, by enabling verbose logs. When the pipeline completes, search the logs for Agent environment resources entries for each step.

2024-02-28T17:41:15.1315148Z ##[debug]Agent environment resources - Disk: D:\ Available 12342.00 MB out of 14333.00 MB, Memory: Used 1907.00 MB out of 7167.00 MB, CPU: Usage 17.23%

If you are using Azure DevOps Server, or if you want to collect additional metrics, you can use PowerShell to capture resource utilization and upload it to the pipeline logs. When the pipeline run completes, you can download the pipeline logs and view the captured data. If the Upload resource usage from pipeline run step is the sixth step in the job, the filename in the logs will be 6_resource-usage.txt.

# Place this task in your pipeline to log the current resource utilization
# of the pipeline. This task appends the specified resource usage to a logfile
# which is uploaded at the end of the current pipeline job.
- pwsh: |
      $logFile = '$(Agent.TempDirectory)\resource-usage.txt'
      if (!(Test-Path $logFile))
      {
        New-Item $logFile
      }
      Get-Date | Out-File -FilePath $logFile -Append
      Get-Volume | Out-File -FilePath $logFile -Append
      Get-Counter '\Memory\Available MBytes' | Out-File -FilePath $logFile -Append
      Get-Counter '\Processor(_Total)\% Processor Time' | Out-File -FilePath $logFile -Append
      sleep 10
  displayName: 'Check resource utilization'

# Other tasks here, and you can repeat the "Check resource utilization"
# step if desired, and the results will be appended to the resource-usage.txt file

- pwsh: Write-Host "##vso[task.uploadfile]$(Agent.TempDirectory)\resource-usage.txt"
  displayName: 'Upload resource usage from pipeline run'
  condition: always()

Capture a dotnet process memory dump using ProcDump

If you have a test execution that crashes, customer support may ask you to capture a memory dump of the dotnet process after the failed test execution. Add the following task after your Visual Studio Test task with condition: always(). When the pipeline run completes, you can download the pipeline logs, including the memory dump.

# Run this task after your test execution crashes
# with a condition of alway() so that it always runs
- pwsh: |
    Invoke-WebRequest https://download.sysinternals.com/files/Procdump.zip -OutFile $(Agent.TempDirectory)\Procdump.zip
    mkdir $(Agent.TempDirectory)\Procdump
    unzip $(Agent.TempDirectory)\Procdump.zip -d Procdump
    cd $(Agent.TempDirectory)\Procdump
    Get-Process dotnet | % { $(Agent.TempDirectory)\procdump.exe -accepteula -ma $_.Id dotnet-$($_.Id).dmp }
    Compress-Archive *.dmp -DestinationPath $(Agent.TempDirectory)\dump_files.zip
    Write-Host "##vso[task.uploadfile]$(Agent.TempDirectory)\dump_files.zip"
  condition: always()
  displayName: 'Create and upload a dotnet process memory dump'

Capture ETW traces for a hosted agent

If you are troubleshooting network issues with Microsoft-hosted agents, customer support may ask you to collect ETW traces. When the pipeline run completes, you can download the pipeline logs, including the ETW traces.

# Add this task to start the ETW trace
- script: netsh trace start scenario=InternetClient capture=yes tracefile=$(Agent.TempDirectory)\networktrace.etl
  displayName: 'Start ETW trace'

# Other tasks here

# Add these 2 tasks to stop the trace and upload
# the trace to the pipeline logs
- script: netsh trace stop
  displayName: 'Stop ETW trace'

- pwsh: |
    Write-Host "##vso[task.uploadfile]$(Agent.TempDirectory)\networktrace.etl"
    Write-Host "##vso[task.uploadfile]$(Agent.TempDirectory)\networktrace.cab"
  displayName: 'Upload ETW trace logs'

Capture perfview traces for Visual Studio build

If customer support asks you to create a perfview trace of your Visual Studio build, add the following tasks to your pipeline before and after your Visual Studio build step.

After running the pipeline, you can download the PerfViewLog artifact from the pipeline run details and send that file customer support.

steps:
- task: PowerShell@2 # download the perfview exe
  inputs:
    targetType: 'inline'
    script: |
      invoke-webrequest https://github.com/microsoft/perfview/releases/download/v3.1.7/PerfView.exe -OutFile PerfView.exe

- task: PowerShell@2
  inputs:
    targetType: 'inline' # start perfview to capture the traces before build build task
    script: '$(System.DefaultWorkingDirectory)\PerfView.exe "/DataFile:PerfViewData.etl" /accepteula /BufferSizeMB:512 /StackCompression /CircularMB:5000 /Providers:"Microsoft-Windows-IIS" /logfile:"PerfView.log" /zip:true /norundown start'

- task: VSBuild@1
  displayName: '$(solution)' # build of the solution, note the msbuildargs might be different for your scenario
  inputs:
    solution: '$(solution)'
    clean: true
    msbuildArgs: '/p:DeployOnBuild=true /p:PrecompileBeforePublish=true /p:WebPublishMethod=Package /p:PackageAsSingleFile=true /p:SkipInvalidConfigurations=true /p:PackageLocation="$(Build.ArtifactStagingDirectory)" /p:TransformWebConfigEnabled=false /p:AutoParameterizationWebConfigConnectionStrings=false /p:MarkWebConfigAssistFilesAsExclude=false /p:ProfileTransformWebConfigEnabled=false /p:IsTransformWebConfigDisabled=true'
    platform: '$(buildPlatform)'
    configuration: '$(buildConfiguration)'

- task: PowerShell@2 # stop the perfview tracing
  inputs:
    targetType: 'inline' 
    script: |
      $(System.DefaultWorkingDirectory)\perfview.exe /accepteula /logfile:"PerfView.log" stop

- task: PowerShell@2 # abort perfview, it seems required.
  inputs:
    targetType: 'inline'
    script: '$(System.DefaultWorkingDirectory)\perfview.exe /accepteula /logfile:"PerfView.log" abort'

- task: PowerShell@2 # add a sleep of 5 mins, to givet time for required for traces to be complete
  inputs:
    targetType: 'inline'
    script: 'Start-Sleep -Seconds 300'

- task: PublishPipelineArtifact@1 # upload the traces
  displayName: 'Publish Pipeline Artifact'
  inputs:
    artifactName: webapp