Monitor Application Insights - Document Details

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This page is part of the Azure documentation. It contains code examples and configuration instructions for working with Azure services.

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Bias Analysis

Detected Bias Types

windows_first

windows_tools

powershell_heavy

missing_linux_example

Summary

The documentation demonstrates a strong Windows bias. It exclusively references Windows tools and patterns, such as Visual Studio, the Microsoft.ApplicationInsights.WindowsServer NuGet package, and Windows-specific VM images. All code and configuration examples assume a Windows environment, including PowerShell commands and Windows batch commands (cmd /c). There is no mention of Linux equivalents, nor are there any Linux-specific instructions or examples for integrating Application Insights with Azure Batch on Linux compute nodes.

Recommendations

Provide parallel Linux instructions and examples, including how to install and configure Application Insights on Linux-based Batch nodes.
Include Linux-friendly package installation commands (e.g., dotnet CLI, apt, yum) and avoid assuming Visual Studio as the only development environment.
Show how to configure Application Insights for .NET Core/.NET 5+ applications running on Linux, including relevant config file locations and environment variables.
Demonstrate how to set up Batch pools using Linux VM images, and provide sample pool configuration for both Windows and Linux.
Replace or supplement PowerShell and cmd examples with Bash or shell script equivalents.
Clarify any platform-specific limitations or differences in Application Insights support between Windows and Linux.

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Scan History

Date	Scan	Status	Result
2026-01-14 00:00	#250	in_progress	Biased
2026-01-13 00:00	#246	completed	Biased
2026-01-12 00:00	#243	cancelled	Biased
2026-01-11 00:00	#240	completed	Biased
2026-01-10 00:00	#237	completed	Biased
2026-01-09 00:34	#234	completed	Biased
2026-01-08 00:53	#231	completed	Biased
2026-01-06 18:15	#225	cancelled	Clean
2025-08-17 00:01	#83	cancelled	Clean
2025-07-13 21:37	#48	completed	Clean
2025-07-09 13:09	#3	cancelled	Clean
2025-07-08 04:23	#2	cancelled	Biased

Flagged Code Snippets

Install-Package Microsoft.ApplicationInsights.WindowsServer

private static readonly List<string> AIFilesToUpload = new List<string>()
{
    // Application Insights config and assemblies
    "ApplicationInsights.config",
    "Microsoft.ApplicationInsights.dll",
    "Microsoft.AI.Agent.Intercept.dll",
    "Microsoft.AI.DependencyCollector.dll",
    "Microsoft.AI.PerfCounterCollector.dll",
    "Microsoft.AI.ServerTelemetryChannel.dll",
    "Microsoft.AI.WindowsServer.dll",

    // custom telemetry initializer assemblies
    "Microsoft.Azure.Batch.Samples.TelemetryInitializer.dll",
 };
...

...
 // Batch start task telemetry runner
private const string BatchStartTaskFolderName = "StartTask";
private const string BatchStartTaskTelemetryRunnerName = "Microsoft.Azure.Batch.Samples.TelemetryStartTask.exe";
private const string BatchStartTaskTelemetryRunnerAIConfig = "ApplicationInsights.config";
...
CloudPool pool = client.PoolOperations.CreatePool(
    topNWordsConfiguration.PoolId,
    targetDedicated: topNWordsConfiguration.PoolNodeCount,
    virtualMachineSize: "standard_d1_v2",
    VirtualMachineConfiguration: new VirtualMachineConfiguration(
    imageReference: new ImageReference(
                        publisher: "MicrosoftWindowsServer",
                        offer: "WindowsServer",
                        sku: "2019-datacenter-core",
                        version: "latest"),
    nodeAgentSkuId: "batch.node.windows amd64");
...

// Create a start task which will run a dummy exe in background that simply emits performance
// counter data as defined in the relevant ApplicationInsights.config.
// Note that the waitForSuccess on the start task was not set so the Compute Node will be
// available immediately after this command is run.
pool.StartTask = new StartTask()
{
    CommandLine = string.Format("cmd /c {0}", BatchStartTaskTelemetryRunnerName),
    ResourceFiles = resourceFiles
};
...