appinsights-instrumentation

To instrument an ASP.NET Core app with Application Insights, you can enable auto-instrumentation when hosting in Azure App Service. This guide provides SDK setup steps, configuration details, and example telemetry code to capture performance and error data without requiring manual code changes.

Auto-instrumentation captures telemetry for Azure web apps without modifying code, while manual configuration involves integrating the Application Insights SDK or OpenTelemetry exporters directly. This guide covers patterns for both approaches, including sampling and telemetry enrichment best practices.

Yes, you can configure OpenTelemetry exporters to send telemetry to Application Insights for Node.js and Python services. This guide covers SDK installation, exporter configuration steps, and sample scripts for integrating OpenTelemetry with your applications.

You can create an Application Insights resource using Bicep templates or Azure CLI commands to define your infrastructure. This guide provides provisioning options, sample scripts, and recommendations for resource grouping and environment selection to establish your telemetry pipeline.

Yes, Application Insights supports adding manual telemetry to a Node.js API by installing and configuring the SDK. This guide provides step-by-step instructions for manual code changes, telemetry patterns, and integration sample scripts for Node.js applications.