Does this skill modify my source code automatically?

No, this skill provides guidance and research material. To orchestrate actual code changes, it is intended to be used in conjunction with the azure-prepare skill.

Can I use this skill for Infrastructure-as-Code (IaC)?

Yes, it includes Bicep template examples and Azure CLI scripts to help you provision Application Insights resources as part of your deployment workflow.

Which programming languages and frameworks are covered?

The skill includes specific guidance for ASP.NET Core (C#), Node.js (JavaScript/TypeScript), Python, and Java.

When should I prefer auto-instrumentation over manual instrumentation?

Auto-instrumentation is recommended for C# ASP.NET Core applications hosted in Azure App Service to minimize code changes, while manual instrumentation is preferred when you need granular control or are using other languages.

What is the primary purpose of the App Insights Instrumentation skill?

It provides reference material, best practices, and implementation guidance for adding Azure Application Insights monitoring to web projects.

Azure Application Insights Instrumentation

Name: Azure Application Insights Instrumentation
Author: JantonioFC

byJantonioFC

•

Analíticas y Monitorización

Guides developers through instrumenting web applications with Azure Application Insights for comprehensive telemetry and observability.

This skill provides specialized guidance and reference material for integrating Azure Application Insights into web applications across various environments. It offers detailed implementation patterns, SDK setup instructions for frameworks like ASP.NET Core, Node.js, and Python, and configuration references for OpenTelemetry distributions. Designed to assist in the research and planning phase of application performance monitoring (APM), it helps users choose between auto-instrumentation and manual implementation while providing Infrastructure-as-Code examples using Bicep and Azure CLI for resource provisioning.

Características Principales

01OpenTelemetry distribution and exporter configuration references

02Framework-specific SDK setup for ASP.NET Core, Node.js, Python, and Java

03Guidance on auto-instrumentation vs. manual implementation strategies

04Azure CLI scripts for automated resource provisioning

052 GitHub stars

06Infrastructure-as-Code examples using Bicep templates

Casos de Uso

01Determining the optimal telemetry pattern for an Azure-hosted web application

02Researching instrumentation prerequisites and SDK setup for production environments

03Configuring OpenTelemetry exporters for multi-language observability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jantoniofc/skillsbank appinsights-instrumentation-ms

For use in Claude.ai and ChatGPT

Características Principales

01OpenTelemetry distribution and exporter configuration references

02Framework-specific SDK setup for ASP.NET Core, Node.js, Python, and Java

03Guidance on auto-instrumentation vs. manual implementation strategies

04Azure CLI scripts for automated resource provisioning

052 GitHub stars

06Infrastructure-as-Code examples using Bicep templates

Casos de Uso

01Determining the optimal telemetry pattern for an Azure-hosted web application

02Researching instrumentation prerequisites and SDK setup for production environments

03Configuring OpenTelemetry exporters for multi-language observability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jantoniofc/skillsbank appinsights-instrumentation-ms

For use in Claude.ai and ChatGPT