appinsights-instrumentation

oleh Azure

Panduan untuk menginstrumentasi aplikasi web dengan Azure Application Insights. Menyediakan pola telemetri, pengaturan SDK, dan referensi konfigurasi.

npx skills add https://github.com/microsoft/GitHub-Copilot-for-Azure --skill appinsights-instrumentation

AppInsights Instrumentation Guide

This skill provides guidance and reference material for instrumenting webapps with Azure Application Insights.

⛔ ADDING COMPONENTS?

If the user wants to add App Insights to their app, invoke azure-prepare instead. This skill provides reference material—azure-prepare orchestrates the actual changes.

When to Use This Skill

  • User asks how to instrument (guidance, patterns, examples)
  • User needs SDK setup instructions
  • azure-prepare invokes this skill during research phase
  • User wants to understand App Insights concepts

When to Use azure-prepare Instead

  • User says "add telemetry to my app"
  • User says "add App Insights"
  • User wants to modify their project
  • Any request to change/add components

Prerequisites

The app in the workspace must be one of these kinds

  • An ASP.NET Core app hosted in Azure
  • A Node.js app hosted in Azure

Guidelines

Collect context information

Find out the (programming language, application framework, hosting) tuple of the application the user is trying to add telemetry support in. This determines how the application can be instrumented. Read the source code to make an educated guess. Confirm with the user on anything you don't know. You must always ask the user where the application is hosted (e.g. on a personal computer, in an Azure App Service as code, in an Azure App Service as container, in an Azure Container App, etc.).

Prefer auto-instrument if possible

If the app is a C# ASP.NET Core app hosted in Azure App Service, use AUTO guide to help user auto-instrument the app.

Manually instrument

Manually instrument the app by creating the AppInsights resource and update the app's code.

Create AppInsights resource

Use one of the following options that fits the environment.

  • Add AppInsights to existing Bicep template. See examples/appinsights.bicep for what to add. This is the best option if there are existing Bicep template files in the workspace.
  • Use Azure CLI. See scripts/appinsights.ps1 for what Azure CLI command to execute to create the App Insights resource.

No matter which option you choose, recommend the user to create the App Insights resource in a meaningful resource group that makes managing resources easier. A good candidate will be the same resource group that contains the resources for the hosted app in Azure.

Modify application code

  • If the app is an ASP.NET Core app, see ASPNETCORE guide for how to modify the C# code.
  • If the app is a Node.js app, see NODEJS guide for how to modify the JavaScript/TypeScript code.
  • If the app is a Python app, see PYTHON guide for how to modify the Python code.

SDK Quick References

Platform-Specific Guides

Lebih banyak skill dari Azure

azure-messaging
Azure
Memecahkan masalah dan menyelesaikan isu dengan Azure Messaging SDK untuk Event Hubs dan Service Bus. Mencakup kegagalan koneksi, kesalahan autentikasi, masalah pemrosesan pesan, dan masalah konfigurasi SDK.
azure-resource-visualizer
Azure
Menganalisis grup sumber daya Azure dan menghasilkan diagram arsitektur Mermaid yang mendetail yang menunjukkan hubungan antar sumber daya individual.
azure-ai
Azure
Gunakan untuk Azure AI: Search, Speech, OpenAI, Document Intelligence. Membantu pencarian, pencarian vektor/hibrida, ucapan-ke-teks, teks-ke-ucapan, transkripsi, OCR.
azure-aigateway
Azure
Konfigurasikan Azure API Management (APIM) sebagai AI Gateway untuk mengamankan, mengamati, mengontrol model AI, server MCP, dan agen. Membantu dalam pembatasan kecepatan, caching semantik, keamanan konten, penyeimbangan beban.
azure-compliance
Azure
Kemampuan audit kepatuhan dan keamanan Azure yang komprehensif termasuk penilaian praktik terbaik, pemantauan kedaluwarsa Key Vault, dan validasi konfigurasi sumber daya.
azure-compute
Azure
Rekomendasikan ukuran VM Azure, VM Scale Sets (VMSS), dan konfigurasi berdasarkan kebutuhan beban kerja, persyaratan kinerja, dan batasan anggaran.
azure-cost-optimization
Azure
Mengidentifikasi dan mengukur penghematan biaya di seluruh langganan Azure dengan menganalisis biaya aktual, metrik pemanfaatan, dan menghasilkan rekomendasi optimasi yang dapat ditindaklanjuti.
azure-deploy
Azure
Jalankan deployment ke Azure. Langkah akhir setelah persiapan dan validasi. Menjalankan perintah azd up, azd deploy, atau penyediaan infrastruktur.