Which programming languages are supported by this skill?

The skill provides specific guidance and code modifications for ASP.NET Core (C#), Node.js (JavaScript/TypeScript), and Python applications.

What is the benefit of using auto-instrumentation?

Auto-instrumentation allows you to enable monitoring for ASP.NET Core apps hosted on Azure App Service with minimal code changes, simplifying the setup process.

Does this skill support containerized applications?

Yes, it includes guidelines for apps hosted in Azure Container Apps and Azure App Service as containers, ensuring telemetry works across different hosting models.

Can this skill create the Azure resources for me?

Yes, it can generate Bicep templates to update your infrastructure-as-code or provide Azure CLI commands to create the Application Insights resource manually.

Azure App Insights Instrumentation

Name: Azure App Insights Instrumentation
Author: beel-collab

bybeel-collab

•

分析与监控

Instruments web applications to send telemetry and health data to Azure Application Insights for enhanced observability.

The Azure App Insights Instrumentation skill automates the process of adding monitoring and telemetry to web applications. It helps developers identify the optimal instrumentation path—whether through auto-instrumentation for ASP.NET Core on Azure App Service or manual integration for Node.js and Python environments. By providing Bicep templates and Azure CLI scripts, the skill ensures that both the infrastructure and the application code are correctly configured to track performance, logs, and health metrics, making it essential for maintaining production-grade cloud applications.

主要功能

01Infrastructure-as-Code support via Bicep template generation

02Context-aware guidance for diverse hosting environments like Container Apps

03Manual telemetry integration for Node.js and Python web applications

04Automated resource creation using Azure CLI scripts

05Automatic instrumentation for ASP.NET Core applications on Azure App Service

064 GitHub stars

使用场景

01Adding performance monitoring to an existing Node.js or Python backend

02Automating telemetry resource provisioning within a DevOps CI/CD pipeline

03Enabling real-time observability for a new Azure-hosted web application

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add beel-collab/presets.dev appinsights-instrumentation

For use in Claude.ai and ChatGPT

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