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articles/azure-monitor/app/azure-functions-monitoring.md

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[Azure Functions](https://docs.microsoft.com/azure/azure-functions/functions-overview) offers built-in integration with Azure Application Insights to monitor functions.
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Application Insights collects log, performance, and error data. It automatically detects performance anomalies and includes powerful analytics tools to help you diagnose issues and to understand how your functions are used. It's designed to help you continuously improve performance and usability. You can even use Application Insights during local function app project development.
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Application Insights collects log, performance, and error data, and automatically detects performance anomalies. Application Insights includes powerful analytics tools to help you diagnose issues and to understand how your functions are used. When you have the visibility into your application data, you can continuously improve performance and usability. You can even use Application Insights during local function app project development.
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The required Application Insights instrumentation is built into Azure Functions. The only thing you need is a valid instrumentation key to connect your function app to an Application Insights resource. The instrumentation key should be added to your application settings when your function app resource is created in Azure. If your function app doesn't already have this key, you can set it manually. For more information read more about [Monitoring Azure Functions](https://docs.microsoft.com/azure/azure-functions/functions-monitoring?tabs=cmd).
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> This feature is currently in public preview for Java Azure Functions.
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> For Consumption plan it has a cold start implication of 8-9 seconds.
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If your applications are written in Java you can view richer data from your function applications, including, requests, dependencies, logs and metrics. The additional data also lets you see and diagnose end-to-end transactions and see the application map, which aggregates many transactions to show a topological view of how the systems interact, and what the average performance and error rates are.
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If your applications are written in Java you can view richer data from your function applications, including, requests, dependencies, logs, and metrics. The additional data also lets you see and diagnose end-to-end transactions and see the application map, which aggregates many transactions to show a topological view of how the systems interact, and what the average performance and error rates are.
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The end-to-end diagnostics and the application map provide visibility into one single transaction/request. This is a helpful tool for finding the root cause of reliability issues and performance bottlenecks on a per request basis.
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The end-to-end diagnostics and the application map provide visibility into one single transaction/request. Together these two features are very helpful for finding the root cause of reliability issues and performance bottlenecks on a per request basis.
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### How to enable distributed tracing for Java Function apps?
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Navigate to the functions app Overview blade, go to configurations. Under Application Settings click "+ New application setting". Add the following two application settings with below values, then click Save on the upper left. DONE!
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Navigate to the functions app Overview blade, go to configurations. Under Application Settings, click "+ New application setting". Add the following two application settings with below values, then click Save on the upper left. DONE!
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XDT_MicrosoftApplicationInsights_Java -> 1

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