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AppInsights Instrumentation Guide
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
microsoftmicrosoft/appinsights-instrumentation
说明
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
- An Azure Container App
- A Node.js app hosted in Azure
- A Python 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
- OpenTelemetry Distro: Python | TypeScript
- OpenTelemetry Exporter: Python | Java
Platform-Specific Guides
- Container Apps: Observability Guide
权限
powershellnpmpiplearn.microsoft.comportal.azure.comWORKSPACE_KEY检查
低风险 · 没有发现需要提醒的地方。
未经人工审核 · 已做规则检查;模型审核尚未开启。
另有 4 处低风险标记:常见命令之类,只记录、不提醒
- 规则 · command_injection
references/container-apps.md:122 - 规则 · command_injection
references/container-apps.md:123 - 规则 · command_injection
references/container-apps.md:127 - 规则 · resource_abuse
references/sdk/azure-monitor-opentelemetry-ts.md:26
文件13 个文件 · 23.9 KB
- LICENSE.txt1.1 KB
- SKILL.md3.7 KB
examples/1
- appinsights.bicep759 B
references/5
- aspnetcore.md1.7 KB
- auto.md891 B
- container-apps.md7.2 KB
- nodejs.md1.8 KB
- python.md1.8 KB
references/sdk/4
- azure-monitor-opentelemetry-exporter-java.md1.1 KB
- azure-monitor-opentelemetry-exporter-py.md963 B
- azure-monitor-opentelemetry-py.md880 B
- azure-monitor-opentelemetry-ts.md986 B
scripts/1
- appinsights.ps11.2 KB
版本
- #11.2.2最新2026年10月7日