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  "_rev": "66-eef56f67d8660f04",
  "_id": "applicationinsights",
  "readme": "# Application Insights for Node.js\r\n\r\n[![npm version](https://badge.fury.io/js/applicationinsights.svg)](http://badge.fury.io/js/applicationinsights)\r\n\r\nApplication Insights SDK monitors your backend services and components after\r\nyou deploy them to help you discover and rapidly diagnose performance and other\r\nissues. Add this SDK to your Node.js services to include deep info about Node.js\r\nprocesses and their external dependencies such as database and cache services.\r\nYou can use this SDK for your Node.js services hosted anywhere: your datacenter,\r\nAzure VMs and Web Apps, and even other public clouds. This solution is based on OpenTelemetry, to learn more about OpenTelemetry concepts, see the [OpenTelemetry overview](https://opentelemetry.io/docs/specs/otel/overview/) or [OpenTelemetry FAQ](https://learn.microsoft.com/azure/azure-monitor/app/opentelemetry-help-support-feedback?tabs=nodejs).\r\n\r\n[Azure Application Insights]: https://azure.microsoft.com/documentation/articles/app-insights-overview/\r\n[discover and rapidly diagnose performance and other issues]: https://docs.microsoft.com/azure/application-insights/app-insights-detect-triage-diagnose\r\n\r\n## Supported Node.js versions\r\n\r\n> *Important:* The Azure Monitor OpenTelemetry-based Offerings for Node.js applications do not support older versions of Node that were supported by\r\nApplication Insights 2.X SDK. If you rely on this support, please continue to use version 2.X.\r\n\r\nWe support the versions of Node.js that are [supported by OpenTelemetry](https://github.com/open-telemetry/opentelemetry-js#supported-runtimes).\r\n\r\n## Limitations of Application Insights 3.X SDK\r\n\r\nIn order to support importing version 3.X SDK as an ESM module, please follow the [OpenTelemetry project's documentation](https://github.com/open-telemetry/opentelemetry-js/blob/main/doc/esm-support.md#instrumentation-hook-required-for-esm) on using the instrumentation hook. \r\n\r\nConsider whether this version is right for you. It *enables distributed tracing, metrics, logs* and _excludes_:\r\n\r\n - Autopopulation of User ID and Authenticated User ID when you use the Application Insights JavaScript SDK\r\n - Autopopulation of User IP (to determine location attributes)\r\n - Ability to override Operation Name\r\n - Ability to manually set User ID or Authenticated User ID\r\n - Propagating Operation Name to Dependency Telemetry\r\n\r\n> *Warning:* This SDK only works for Node.js environments. Use the [Application Insights JavaScript SDK](https://github.com/microsoft/ApplicationInsights-JS) for web and browser scenarios.\r\n\r\nTo determine if this version of Application Insights is right for you, review the [Application Insights 2.X SDK migration guide](https://learn.microsoft.com/azure/azure-monitor/app/opentelemetry-nodejs-migrate?tabs=cleaninstall).\r\n\r\n### Prerequisites\r\n\r\n- Azure subscription: [Create an Azure subscription for free](https://azure.microsoft.com/free/)\r\n- Application Insights resource: [Create an Application Insights resource](create-workspace-resource.md#create-a-workspace-based-resource)\r\n\r\n- Application using an officially [supported version](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/monitor/monitor-opentelemetry-exporter#currently-supported-environments) of Node.js runtime:\r\n  - [OpenTelemetry supported runtimes](https://github.com/open-telemetry/opentelemetry-js#supported-runtimes)\r\n  - [Azure Monitor OpenTelemetry Exporter supported runtimes](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/monitor/monitor-opentelemetry-exporter#currently-supported-environments)\r\n\r\n## Get started\r\n> *Important:* On March 31st, 2025, support for instrumentation key ingestion will end. Instrumentation key ingestion will continue to work, but we’ll no longer provide updates or support for the feature. [Transition to connection strings](https://docs.microsoft.com/azure/azure-monitor/app/migrate-from-instrumentation-keys-to-connection-strings) to take advantage of [new capabilities](https://docs.microsoft.com/azure/azure-monitor/app/migrate-from-instrumentation-keys-to-connection-strings#new-capabilities).\r\n\r\n1. Create an Application Insights resource in Azure by following [these instructions][].\r\n2. Grab the _Connection String_ from the resource you created in\r\n   step 1. Later, you'll either add it to your app's environment variables or\r\n   use it directly in your scripts.\r\n3. Add the Application Insights Node.js SDK to your app's dependencies and\r\n   package.json:\r\n     ```bash\r\n     npm install --save applicationinsights\r\n     ```\r\n     > *Note:* If you're using TypeScript, please install @types/node package to prevent build issues, this npm package contains built-in typings.\r\n4. As early as possible in your app's code, load the Application Insights\r\n   package:\r\n     ```javascript\r\n     let appInsights = require('applicationinsights');\r\n     ```\r\n5. Configure the local SDK by calling `appInsights.setup('YOUR_CONNECTION_STRING');`, using\r\n   the connection string you grabbed in step 2. Or put it in the\r\n   `APPLICATIONINSIGHTS_CONNECTION_STRING` environment variable and call\r\n   `appInsights.setup()` without parameters.\r\n   > For more configuration options see below.\r\n6. Finally, start automatically collecting and sending data by calling\r\n   `appInsights.start();`.\r\n\r\n[these instructions]: https://docs.microsoft.com/azure/application-insights/app-insights-nodejs\r\n\r\n* If the connection string is set in the environment variable\r\n  APPLICATIONINSIGHTS\\_CONNECTION\\_STRING, `.setup()` can be called with no\r\n  arguments. This makes it easy to use different connection strings for different\r\n  environments.\r\n\r\nLoad the Application Insights library (i.e. `require(\"applicationinsights\")`) as\r\nearly as possible in your scripts, before loading other packages. This is needed\r\nso that the Application Insights library can prepare later packages for tracking.\r\nIf you encounter conflicts with other libraries doing similar preparation, try\r\nloading the Application Insights library after those.\r\n\r\n## Understanding SDK Reliability with SDK Stats\r\n\r\nThe SDK stats feature helps you monitor the reliability of telemetry transmission from the Application Insights SDK to Azure Monitor. SDK stats provide visibility into telemetry ingestion, including success rates, throttling, and errors. This information is essential for understanding whether your application's telemetry is being reliably delivered to Application Insights.\r\n\r\nBy analyzing SDK stats, you can:\r\n- Monitor the health of telemetry transmission\r\n- Identify issues with data delivery (network problems, throttling, etc.)\r\n- Ensure telemetry is reaching Application Insights as expected\r\n- Troubleshoot gaps in your telemetry data\r\n\r\nTo learn more about SDK stats, including how to access and interpret them, see [SDK stats documentation](https://learn.microsoft.com/azure/azure-monitor/app/sdk-stats).\r\n\r\n## Configuration\r\n\r\n> **Important:** All SDK configuration must be completed **before** calling `start()`. Unlike Application Insights 2.X SDK, configuration changes made after `start()` has been called will not take effect. This includes both method-based configuration (e.g., `setAutoCollectRequests()`) and client configuration properties (e.g., `appInsights.defaultClient.config.samplingPercentage`).\r\n\r\nThe appInsights object provides a number of methods to setup SDK behavior. They are\r\nlisted in the following snippet with their default values.\r\n\r\n```javascript\r\nlet appInsights = require(\"applicationinsights\");\r\nappInsights.setup(\"<YOUR_CONNECTION_STRING>\")\r\n    .setAutoCollectRequests(true)\r\n    .setAutoCollectPerformance(true, true)\r\n    .setAutoCollectExceptions(true)\r\n    .setAutoCollectDependencies(true)\r\n    .setAutoCollectConsole(true, false)\r\n    .setAutoCollectPreAggregatedMetrics(true)\r\n    .setSendLiveMetrics(false)\r\n    .setInternalLogging(false, true)\r\n    .enableWebInstrumentation(false)\r\n    .start();\r\n```\r\n\r\nPlease review their descriptions in your IDE's built-in type hinting, or [applicationinsights.ts](https://github.com/microsoft/ApplicationInsights-node.js/tree/main/src/shim/applicationinsights.ts) for\r\ndetailed information on what these control, and optional secondary arguments.\r\n\r\nNote that by default `setAutoCollectConsole` is configured to *exclude* calls to `console.log`\r\n(and other `console` methods). By default, only calls to supported third-party loggers\r\n(e.g. `winston`, `bunyan`) will be collected. You can change this behavior to *include* calls\r\nto `console` methods by using `setAutoCollectConsole(true, true)`.\r\n\r\nNote that by default `enableWebInstrumentation` will use the connection string for SDK initialization. If you want to use a different one, you can set it as `enableWebInstrumentation(true, \"your-connection-string\")`.\r\n\r\nThe TelemetryClient constructor accepts optional settings (e.g., `{ useGlobalProviders?: boolean }`, defaults to `true`) and exposes a `config` property with many optional settings. Constructor options example:\r\n```javascript\r\nconst client = new appInsights.TelemetryClient(<connectionString>, { useGlobalProviders: false });\r\n```\r\nClient `config` properties can be set as follows:\r\n```\r\nclient.config.PROPERTYNAME = VALUE;\r\n```\r\nThese properties are client specific, so you can configure `appInsights.defaultClient`\r\nseparately from clients created with `new appInsights.TelemetryClient()`.\r\n\r\n> *Important:* OpenTelemetry instrumentations rely on the global provider registry. Both `appInsights.setup().start()` and `new TelemetryClient()` default to `useGlobalProviders: true` so auto-instrumentation works out of the box. Set `{ useGlobalProviders: false }` only when you need an isolated client (e.g., per-tenant/manual-only or tests); auto-instrumentation and all auto-collect “enable*” configs (requests, dependencies, console, etc.) will not target that client, you must emit manually or attach your own processors/exporters. Multiple clients in one process share global providers, so use the opt-out to avoid mixing their telemetry.\r\n\r\n| Property                        | Description                                                                                                |\r\n| ------------------------------- |------------------------------------------------------------------------------------------------------------|\r\n| proxyHttpUrl                    | A proxy server for SDK HTTP traffic (Optional, Default pulled from `http_proxy` environment variable)      |\r\n| proxyHttpsUrl                   | A proxy server for SDK HTTPS traffic (Optional, Default pulled from `https_proxy` environment variable)    |\r\n| maxBatchIntervalMs              | The maximum amount of time to wait to for a payload to reach maxBatchSize (Default `15000`)                |\r\n| samplingPercentage              | The percentage of telemetry items tracked that should be transmitted (Default `100`)                       |\r\n| enableAutoCollectExternalLoggers| Sets the state of console. If true logger activity will be sent to Application Insights |\r\n| enableAutoCollectConsole        | Sets the state of logger tracking (enabled by default for third-party loggers only). If true, logger auto collection will include console.log calls (default false) |\r\n| enableAutoCollectExceptions     | Sets the state of exception tracking (enabled by default). If true uncaught exceptions will be sent to Application Insights |\r\n| enableAutoCollectPerformance    | Sets the state of performance tracking (enabled by default). If true performance counters will be collected every second and sent to Application Insights |\r\n| enableAutoCollectPreAggregatedMetrics | Sets the state of pre aggregated metrics tracking (enabled by default). If true pre aggregated metrics will be collected every minute and sent to Application Insights |\r\n| enableAutoCollectRequests      | Sets the state of request tracking (enabled by default). If true requests will be sent to Application Insights |\r\n| enableAutoCollectDependencies  | Sets the state of dependency tracking (enabled by default). If true dependencies will be sent to Application Insights |\r\n| enableUseDiskRetryCaching     | If true events that occurred while client is offline will be cached on disk |\r\n| enableInternalDebugLogging    | Enables debug and warning logging for AppInsights itself. If true, enables debug logging |\r\n| enableInternalWarningLogging  | Enables debug and warning logging for AppInsights itself. If true, enables warning logging |\r\n| enableSendLiveMetrics         | Enables communication with Application Insights Live Metrics. If true, enables communication with the live metrics service |\r\n| noDiagnosticChannel           | In order to track context across asynchronous calls, some changes are required in third party libraries such as mongodb and redis. By default ApplicationInsights will use diagnostic-channel-publishers to monkey-patch some of these libraries. This property is to disable the feature. Note that by setting this flag, events may no longer be correctly associated with the right operation.  |\r\n| noPatchModules                | Disable individual monkey-patches. Set `noPatchModules` to a comma separated list of packages to disable. e.g. `\"noPatchModules\": \"console,redis\"` to avoid patching the console and redis packages. The following modules are available: `azuresdk, bunyan, console, mongodb, mongodb-core, mysql, redis, winston, pg`, and `pg-pool`. Visit the [diagnostic-channel-publishers' README](https://github.com/microsoft/node-diagnostic-channel/blob/master/src/diagnostic-channel-publishers/README.md) for information about exactly which versions of these packages are patched. |\r\n| aadTokenCredential| Azure Credential instance to be used to authenticate the App. [AAD Identity Credential Classes](https://github.com/Azure/azure-sdk-for-js/tree/master/sdk/identity/identity#credential-classes)\r\n| enableWebInstrumentation | Sets the state of automatic web Instrumentation (Optional, disabled by default). If true, web instrumentation will be enabled on valid node server http response with the connection string used for SDK initialization\r\n| webInstrumentationConnectionString | Sets connection string used for web Instrumentation (Optional, Default undefined)|\r\n| webInstrumentationSrc | Sets web Instrumentation CDN url (Optional). see more details at [ApplicationInsights JavaScript SDK](https://github.com/microsoft/ApplicationInsights-JS)|\r\n\r\n[Config.ts]: https://github.com/microsoft/ApplicationInsights-node.js/blob/main/src/shim/shim-config.ts\r\n\r\nAll these properties except aadTokenCredential could be configured using configuration file `applicationinsights.json` located under root folder of applicationinsights package installation folder, Ex: `node_modules/applicationinsights`. These configuration values will be applied to all TelemetryClients created in the SDK. \r\n\r\n\r\n```javascript\r\n{\r\n    \"samplingPercentage\": 80,\r\n    \"enableAutoCollectExternalLoggers\": true,\r\n    \"enableAutoCollectExceptions\": true,\r\n    \"enableSendLiveMetrics\": true,\r\n    ...\r\n}\r\n  \r\n```\r\n\r\nCustom JSON file could be provided using `APPLICATIONINSIGHTS_CONFIGURATION_FILE` environment variable.\r\n\r\n```javascript\r\nprocess.env.APPLICATIONINSIGHTS_CONFIGURATION_FILE = \"C:/applicationinsights/config/customConfig.json\"\r\n\r\n// Application Insights SDK setup....\r\n```\r\n\r\nAlternatively, instead of using a configuration file, you can specify the entire content of the JSON configuration via the environment variable `APPLICATIONINSIGHTS_CONFIGURATION_CONTENT`.\r\n\r\n### Sampling\r\n\r\nBy default, the SDK will send all collected data to the Application Insights service. If you collect a lot of data, you might want to enable sampling to reduce the amount of data sent. Set the `samplingPercentage` field on the Config object of a Client to accomplish this. Setting `samplingPercentage` to 100 (the default) means all data will be sent, and 0 means nothing will be sent.\r\n\r\nIf you are using automatic correlation, all data associated with a single request will be included or excluded as a unit.\r\n\r\nAdd code such as the following to enable sampling:\r\n\r\n```javascript\r\nconst appInsights = require(\"applicationinsights\");\r\nappInsights.setup(\"<YOUR_CONNECTION_STRING>\");\r\nappInsights.defaultClient.config.samplingPercentage = 33; // 33% of all telemetry will be sent to Application Insights\r\nappInsights.start(); // Configuration must be complete before calling start()\r\n```\r\n\r\n### Automatic web Instrumentation\r\n\r\n  For node server with configuration `enableWebInstrumentation` set to `true` or environment variable `APPLICATIONINSIGHTS_WEB_INSTRUMENTATION_ENABLED = true`, web Instrumentation will be enabled on node server response when all of the following requirements are met:\r\n\r\n- Response has status code `200`.\r\n- Response method is `GET`.\r\n- Sever response has `Content-Type` html.\r\n- Server response must have both `<head>` and `</head>` Tags.\r\n- If response is compressed, it must have only one `Content-Encoding` type, and encoding type must be one of `gzip`, `br` or `deflate`.\r\n- Response does not contain current /backup web Instrumentation CDN endpoints.  (current and backup Web Instrumentation CDN endpoints [here](https://github.com/microsoft/ApplicationInsights-JS#active-public-cdn-endpoints))\r\n\r\nweb Instrumentation CDN endpoint can be changed by setting environment variable `APPLICATIONINSIGHTS_WEB_INSTRUMENTATION_SOURCE = \"web Instrumentation CDN endpoints\"`.\r\nweb Instrumentation connection string can be changed by setting environment variable `APPLICATIONINSIGHTS_WEB_INSTRUMENTATION_CONNECTION_STRING = \"web Instrumentation connection string\"`\r\n\r\n**Note:** web Instrumentation may slow down server response time, especially when response size is large or response is compressed. For the case in which some middle layers are applied, it may result in web Instrumentation not working and original response will be returned.\r\n\r\n### Automatic third-party instrumentation\r\n\r\n> If you require further third-party instrumenatations please use the [Azure Monitor OpenTelemetry Distro](https://learn.microsoft.com/azure/azure-monitor/app/opentelemetry-enable?tabs=nodejs) to take advantage of OpenTelemetry. If you are an Application Insights 2.X SDK user,\r\na [migration guide](https://learn.microsoft.com/azure/azure-monitor/app/opentelemetry-nodejs-migrate?tabs=upgrade) is available.\r\n\r\nIn order to track context across asynchronous calls, some changes are required in third party libraries such as mongodb and redis.\r\nBy default ApplicationInsights will use the appropriate OpenTelemetry instrumentation for each library.\r\nThis can be disabled by setting the `APPLICATION_INSIGHTS_NO_DIAGNOSTIC_CHANNEL` environment variable. Note that by setting that\r\nenvironment variable, events may no longer be correctly associated with the right operation. Individual instrumentations can be\r\ndisabled by setting the `APPLICATION_INSIGHTS_NO_PATCH_MODULES` environment variable to a comma separated list of packages to\r\ndisable, e.g. `APPLICATION_INSIGHTS_NO_PATCH_MODULES=console,redis` to avoid patching the `console` and `redis` packages.\r\n\r\nThe following modules are available: `azuresdk`, `bunyan`, `console`, `mongodb`, `mongodb-core`, `mysql`, `redis`, `winston`,\r\n`pg`, and `pg-pool`. \r\n\r\nAutomatic instrumentation for several Azure SDKs is also enabled.\r\n[Javascript Azure SDKs](https://azure.github.io/azure-sdk/releases/latest/index.html#javascript)\r\n\r\nThe `bunyan`, `winston`, and `console` patches will generate Application Insights Trace events based on whether `setAutoCollectConsole` is enabled.\r\nThe rest will generate Application Insights Dependency events based on whether `setAutoCollectDependencies` is enabled. Make sure that `applicationinsights` is imported **before** any 3rd-party packages for them to be instrumented successfully.\r\n\r\n### Live Metrics\r\nTo enable sending live metrics of your app to Azure, use `setSendLiveMetrics(true)`. Filtering of live metrics in the Portal is currently not supported.\r\n\r\n## Track custom telemetry\r\n\r\nYou can track any request, event, metric or exception using the Application\r\nInsights client. Examples follow:\r\n\r\n```javascript\r\nlet appInsights = require(\"applicationinsights\");\r\nappInsights.setup().start(); // assuming connection string is in environment variables. start() can be omitted to disable any non-custom data\r\nlet client = appInsights.defaultClient;\r\nclient.trackEvent({name: \"my custom event\", properties: {customProperty: \"custom property value\"}});\r\nclient.trackException({exception: new Error(\"handled exceptions can be logged with this method\")});\r\nclient.trackMetric({name: \"custom metric\", value: 3});\r\nclient.trackTrace({message: \"trace message\"});\r\nclient.trackDependency({target:\"http://dbname\", name:\"select customers proc\", data:\"SELECT * FROM Customers\", duration:231, resultCode:0, success: true, dependencyTypeName: \"ZSQL\"});\r\nclient.trackRequest({name:\"GET /customers\", url:\"http://myserver/customers\", duration:309, resultCode:200, success:true});\r\nclient.trackAvailability({id: \"123456789abcdefghijklmnopqrstuvw\", name: \"availalaibility-test-name\", duration: 1000, success: true, runLocation: \"Japan East\", message: \"Passed\"})\r\n\r\nlet http = require(\"http\");\r\nhttp.createServer( (req, res) => {\r\n  client.trackNodeHttpRequest({request: req, response: res}); // Place at the beginning of your request handler\r\n});\r\n```\r\n\r\nNote that custom properties are converted to their string representation before being sent, see [Using properties](https://docs.microsoft.com/azure/azure-monitor/app/api-custom-events-metrics#properties) for more information.\r\n\r\nAn example utility using `trackMetric` to measure how long event loop scheduling takes:\r\n\r\n```javascript\r\nfunction startMeasuringEventLoop() {\r\n  var startTime = process.hrtime();\r\n  var sampleSum = 0;\r\n  var sampleCount = 0;\r\n\r\n  // Measure event loop scheduling delay\r\n  setInterval(() => {\r\n    var elapsed = process.hrtime(startTime);\r\n    startTime = process.hrtime();\r\n    sampleSum += elapsed[0] * 1e9 + elapsed[1];\r\n    sampleCount++;\r\n  }, 0);\r\n\r\n  // Report custom metric every second\r\n  setInterval(() => {\r\n    var samples = sampleSum;\r\n    var count = sampleCount;\r\n    sampleSum = 0;\r\n    sampleCount = 0;\r\n\r\n    if (count > 0) {\r\n      var avgNs = samples / count;\r\n      var avgMs = Math.round(avgNs / 1e6);\r\n      client.trackMetric({name: \"Event Loop Delay\", value: avgMs});\r\n    }\r\n  }, 1000);\r\n}\r\n```\r\n\r\n## Self-diagnostics\r\n\r\n\"Self-diagnostics\" refers to internal logging from Application Insights Node.js SDK.\r\n\r\nThis functionality can be helpful for spotting and diagnosing issues with Application Insights itself.\r\n\r\nBy default, Application Insights Node.js SDK logs at warning level to console, following code demonstrate how to enable debug logging as well and generate telemetry for internal logs:\r\n\r\n```javascript\r\nlet appInsights = require(\"applicationinsights\");\r\nappInsights.setup(\"<YOUR_CONNECTION_STRING>\")\r\n    .setInternalLogging(true, true) // Enable both debug and warning logging\r\n    .setAutoCollectConsole(true, true) // Generate Trace telemetry for winston/bunyan and console logs\r\n    .start();\r\n```\r\n\r\nDebug Logs could be enabled as well using APPLICATION_INSIGHTS_ENABLE_DEBUG_LOGS environment variable, and APPLICATION_INSIGHTS_DISABLE_WARNING_LOGS environment variable to disable warnings. Logs could be put into local file using `APPLICATIONINSIGHTS_LOG_DESTINATION` environment variable, supported values are `file` and `file+console`, a file named `applicationinsights.log` will be generated on tmp folder by default, including all logs,  `/tmp` for *nix and `USERDIR/AppData/Local/Temp` for Windows. Log directory could be configured using `APPLICATIONINSIGHTS_LOGDIR` environment variable.\r\n\r\n```javascript\r\nprocess.env.APPLICATIONINSIGHTS_LOG_DESTINATION = \"file\";\r\nprocess.env.APPLICATIONINSIGHTS_LOGDIR = \"C:/applicationinsights/logs\"\r\n\r\n// Application Insights SDK setup....\r\n```\r\n\r\n## ApplicationInsights 3.X SDK Unsupported Properties\r\n\r\nApplication Insights 3.X SDK will provide support path for customers who only require basic instrumentation as opposed to migrating to Azure Monitor OpenTelemetry. If unsupported methods are called, they are not breaking and your application will still run. Calling these unsupported methods will throw a warning that the method is not supported.\r\n\r\nThe following methods are called after using the below method.\r\n\r\n```javascript\r\nlet applicationinsights = require(\"applicationinsights\");\r\nappinsights.setup(\"<YOUR_CONNECTION_STRING>\").start();\r\n```\r\n\r\nAnd invoked via `appInsights.<METHOD_NAME>`\r\n|Property                     |Support Status                                                                                              |\r\n| ----------------------------|------------------------------------------------------------------------------------------------------------|\r\n| setDistributedTracingMode   | AI only tracing mode is no longer supported. Migrate to using W3C_AND_AI tracing mode. |\r\n| setAutoCollectHeartbeat     | Heartbeat is not supported in either Azure Monitor OpenTelemetry or the Application Insights 3.X SDK.|\r\n| setAutoDependencyCorrelation| Turning off autoDependencyCorrelation is not supported by either Azure Monitor OpenTelemetry or the Application Insights 3.X SDK. |\r\n| setUseDiskRetryCaching      | While enabling/disabling offline storage is supported, setting the resend interval or the maxBytesOnDisk values are not supported in the Application Insights 3.X SDK or Azure Monitor OpenTelemetry. The SDK uses hardcoded defaults: resend interval of **60 seconds (1 minute)** and maxBytesOnDisk of **50 MB**. Cached files are retained for up to **2 days** before being cleaned up. |\r\n| setAutoCollectIncomingRequestAzureFunctions | Auto collection of Azure Functions is not supported by the Application Insights 3.X SDK or Azure Monitor OpenTelemetry. |\r\n\r\nThe following configurations are set using either environment variables, setting them in the `applicationinsights.json` file or by calling `appInsights.defaultClient.config.<CONFIG_SETTING_VALUE>;`.\r\n\r\n|Property               |Support Status                                                         |\r\n|-----------------------|-----------------------------------------------------------------------|\r\n| instrumentationKey & endpointUrl | Not supported by the Application Insights 3.X SDK or Azure Monitor OpenTelemetry. Please migrate to using the connectionString. |\r\n| maxBatchSize | Not supported by the Application Insights 3.X SDK but can be configured by using OpenTelemetry SpanProcessors in Azure Monitor OpenTelemetry. |\r\n| disableAppInsights | Not supported by the Application Insights 3.X SDK. Disabling telemetry export is possible via Azure Monitor OpenTelemetry using OpenTelemetry.|\r\n| correlationIdRetryIntervalMs | Not supported by either the Application Insights 3.X SDK or Azure Monitor OpenTelemetry as correlation ID is deprecated.|\r\n| ignoreLegacyHeaders | Legacy headers in outgoing requests are not supported in the Application Insights 3.X SDK or Azure Monitor OpenTelemetry. Therefore they will always be disabled. |\r\n| distributedTracingMode | Distributed tracing mode is always set to AI_AND_W3C. AI only tracing mode is not supported in the Application Insights 3.X SDK or Azure Monitor OpenTelemetry.|\r\n| enableLoggerErrorToTrace | Not supported in the Application Insights 3.X SDK or Azure Monitor OpenTelemetry as all errors will be logged as exceptions in both. |\r\n| enableAutoCollectHeartbeat | Heartbeat is not supported in the Application Insights 3.X SDK or Azure Monitor OpenTelemetry as it is deprecated. |\r\n| enableAutoDependencyCorrelation | Cannot disable dependency correlation in either the Application Insights 3.X SDK or Azure Monitor OpenTelemetry. Dependency correlation will always be enabled and therefore this setting is always true. |\r\n| enableAutoCollectIncomingRequestAzureFunctions | Auto collection of Azure Functions is not supported by the Application Insights 3.X SDK or Azure Monitor OpenTelemetry. |\r\n| enableUseAsyncHooks | Using async hooks is not supported by the Application Insights 3.X SDK or Azure Monitor OpenTelemetry as it is not supported by OpenTelemetry. |\r\n| enableResendInterval | Not supported by the Application Insights 3.X SDK. It is possible to configure the interval between exports via OpenTelemetry span processors, but not specifically cached events. The @azure/monitor-opentelemetry-exporter uses a hardcoded resend interval of **60 seconds (1 minute)**. |\r\n| enableMaxBytesOnDisk | Not supported by the Application Insights 3.X SDK. And not supported to be changed in Azure Monitor OpenTelemetry. The @azure/monitor-opentelemetry-exporter uses a hardcoded maximum of **50 MB** for offline storage. Once this limit is reached, new telemetry will not be cached to disk until space is freed. Cached files are automatically cleaned up after **2 days**. |\r\n| noHttpAgentKeepAlive | Not supported in the Application Insights 3.X SDK or Azure Monitor OpenTelemetry. |\r\n| httpAgent/httpsAgent | Not supported in the Application Insights 3.X SDK or Azure Monitor OpenTelemetry. |\r\n| webInstrumentationConfig | Not currently supported by the Application Insights 3.X SDK or Azure Monitor OpenTelemetry. |\r\n| quickPulseHost | Not supported in the Application Insights 3.X SDK or Azure Monitor OpenTelemetry. |\r\n| enableAutoCollectExtendedMetrics | Extended/native metrics are not supported in the Application Insights 3.X SDK or Azure Monitor OpenTelemetry. |\r\n| disableAllExtendedMetrics | Will not have any effect as extended/native metrics are not supported in the Application Insights 3.X SDK or Azure Monitor OpenTelemetry. |\r\n| extendedMetricDisablers | Will not have any effect as extended/native metrics are not supported in the Application Insights 3.X SDK or Azure Monitor OpenTelemetry. |\r\n| correlationHeaderExcludedDomains | Not supported in the Application Insights 3.X SDK or Azure Monitor OpenTelemetry. |\r\n\r\n## Distributed Tracing and Correlation\r\n\r\nThe SDK automatically correlates telemetry associated with a request by using a W3C trace context. When a request is processed, the SDK creates a context for that operation, including a unique identifier that helps correlate all telemetry related to that operation.\r\n\r\n### Frontend to Backend Correlation\r\n\r\nWhen correlating between Frontend (e.g., using `@microsoft/applicationinsights-web`) and Backend (using this SDK), the following headers are supported:\r\n\r\n| Header | Description | Required |\r\n|--------|-------------|----------|\r\n| `traceparent` | W3C trace context header with format `00-traceId-spanId-flags` | Yes |\r\n| `tracestate` | W3C trace state header with vendor-specific data | No |\r\n\r\n#### How Frontend-Backend Correlation Works\r\n\r\n1. **Frontend Setup**: The frontend application (using `@microsoft/applicationinsights-web`) automatically includes these headers in outgoing HTTP requests when properly configured with `enableCorsCorrelation: true`.\r\n\r\n   ```javascript\r\n   // Example of frontend setup with Application Insights\r\n   const appInsights = new ApplicationInsights({\r\n     config: {\r\n       connectionString: \"your-connection-string\",\r\n       enableCorsCorrelation: true  // Important for cross-domain correlation\r\n     }\r\n   });\r\n   appInsights.loadAppInsights();\r\n   ```\r\n\r\n2. **Automatic Header Processing**: When the backend receives a request, this SDK automatically:\r\n   - Extracts the correlation headers (`traceparent`, `tracestate`) from the incoming request\r\n   - Creates a correlation context based on these headers\r\n   - Associates this context with the current execution\r\n   - All telemetry sent during request processing is automatically linked to this context\r\n\r\n**No manual code is required** in your backend application to maintain this correlation. The SDK handles all the correlation context management internally.\r\n\r\nFor more information about W3C Trace Context, see the [W3C Trace Context specification](https://www.w3.org/TR/trace-context/).\r\n\r\nThe following methods are part of the `TelemetryClient` class. They can be called using `applicationinsights.defaultClient.<METHOD_NAME>()`.\r\n\r\n|Property       |                     Support Status              |\r\n|---------------|-------------------------------------------------|\r\n| trackPageView | PageViewTelemetry requires an id and a name field now instead of only an optional name field. |\r\n| track | Tracking generic telemetry is not longer supported. Please use one of the other manual track methods to track a specific telemetry type. | \r\n| getAuthorizationHandler | Not supported in the Application Insights 3.X SDK. |\r\n| addTelemetryProcessor | TelemetryProcessors are not supported in the Application Insights 3.X SDK. Please migrate to Azure Monitor OpenTelemetry and use OpenTelemetry Span Processors. |\r\n| clearTelemetryProcessors | TelemetryProcessors are not supported in the Application Insights 3.X SDK. Please migrate to Azure Monitor OpenTelemetry and use OpenTelemetry Span Processors. | \r\n| runTelemetryProcessors | TelemetryProcessors are not supported in the Application Insights 3.X SDK. Please migrate to Azure Monitor OpenTelemetry and use OpenTelemetry Span Processors. |\r\n| trackNodeHttpRequestSync | Not supported. Please use the trackRequest method instead. |\r\n| trackNodeHttpRequest | Not supported. Please use the trackRequest method instead. |\r\n| trackNodeHttpDependency | Not supported. Please use the trackDependency method instead. |\r\n\r\n`APPLICATIONINSIGHTS_INSTRUMENTATION_LOGGING_LEVEL` environment varialbe could be used to set desired log level, supporting the following values: `NONE`, `ERROR`, `WARN`, `INFO`, `DEBUG`, `VERBOSE` and  `ALL`.\r\n\r\n\r\nLogs could be put into local file using `APPLICATIONINSIGHTS_LOG_DESTINATION` environment variable, supported values are `file` and `file+console`, a file named `applicationinsights.log` will be generated on tmp folder by default, including all logs,  `/tmp` for *nix and `USERDIR/AppData/Local/Temp` for Windows. Log directory could be configured using `APPLICATIONINSIGHTS_LOGDIR` environment variable.\r\n\r\n```javascript\r\nprocess.env.APPLICATIONINSIGHTS_INSTRUMENTATION_LOGGING_LEVEL = \"VERBOSE\";\r\nprocess.env.APPLICATIONINSIGHTS_LOG_DESTINATION = \"file\";\r\nprocess.env.APPLICATIONINSIGHTS_LOGDIR = \"C:/applicationinsights/logs\";\r\n\r\n// Application Insights SDK setup....\r\n```\r\n\r\n## Support\r\n\r\nFor help and questions about using this project, please create a Support request issue on\r\nhttps://github.com/microsoft/ApplicationInsights-node.js/issues.\r\n\r\nFor OpenTelemetry issues, contact the [OpenTelemetry JavaScript community](https://github.com/open-telemetry/opentelemetry-js) directly. [Support Policy](SUPPORT)\r\n\r\n\r\n## Contributing\r\n\r\nThis project welcomes contributions and suggestions. Most contributions require you to\r\nagree to a Contributor License Agreement (CLA) declaring that you have the right to,\r\nand actually do, grant us the rights to use your contribution. For details, visit\r\nhttps://cla.microsoft.com.\r\n\r\nWhen you submit a pull request, a CLA-bot will automatically determine whether you need\r\nto provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the\r\ninstructions provided by the bot. You will only need to do this once across all repositories using our CLA.\r\n\r\nThis project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).\r\nFor more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)\r\nor contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.\r\n\r\n## Data Collection\r\n\r\nAs this SDK is designed to enable applications to perform data collection which is sent to the Microsoft collection endpoints the following is required to identify our privacy statement.\r\n\r\nThe software may collect information about you and your use of the software and send it to Microsoft. Microsoft may use this information to provide services and improve our products and services. You may turn off the telemetry as described in the repository. There are also some features in the software that may enable you and Microsoft to collect data from users of your applications. If you use these features, you must comply with applicable law, including providing appropriate notices to users of your applications together with a copy of Microsoft’s privacy statement. Our privacy statement is located at https://go.microsoft.com/fwlink/?LinkID=824704. You can learn more about data collection and use in the help documentation and our privacy statement. Your use of the software operates as your consent to these practices.\r\n\r\n## Trademarks\r\n\r\nThis project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow [Microsoft’s Trademark & Brand Guidelines](https://www.microsoft.com/legal/intellectualproperty/trademarks/usage/general). Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party’s policies.\r\n\r\n## License\r\n\r\n[MIT](LICENSE)",
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