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articles/app-service/troubleshoot-diagnostic-logs.md

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By default, ASP.NET Core uses the [Microsoft.Extensions.Logging.AzureAppServices](https://www.nuget.org/packages/Microsoft.Extensions.Logging.AzureAppServices) logging provider. For more information, see [ASP.NET Core logging in Azure](/aspnet/core/fundamentals/logging/). For information about WebJobs SDK logging, see [Get started with the Azure WebJobs SDK](./webjobs-sdk-get-started.md#enable-console-logging)
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- Python applications can use the [OpenCensus package](../azure-monitor/app/opencensus-python.md) to send logs to the application diagnostics log.
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- Python applications can use the [OpenCensus package](/previous-versions/azure/azure-monitor/app/opencensus-python) to send logs to the application diagnostics log.
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## Stream logs

articles/azure-monitor/app/app-insights-overview.md

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* [ASP.NET](./asp-net.md)
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* [Java](./opentelemetry-enable.md?tabs=java)
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* [Node.js](./nodejs.md)
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* [Python](./opencensus-python.md)
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* [Python](/previous-versions/azure/azure-monitor/app/opencensus-python)
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* [ASP.NET Core](./asp-net-core.md)
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#### Client-side JavaScript SDK

articles/azure-monitor/app/asp-net-dependencies.md

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* [User and page data](./javascript.md)
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* [Availability](./availability-overview.md)
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* Set up custom dependency tracking for [Java](opentelemetry-add-modify.md?tabs=java#add-custom-spans).
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* Set up custom dependency tracking for [OpenCensus Python](./opencensus-python-dependency.md).
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* Set up custom dependency tracking for [OpenCensus Python](/previous-versions/azure/azure-monitor/app/opencensus-python-dependency).
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* [Write custom dependency telemetry](./api-custom-events-metrics.md#trackdependency)
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* See [data model](./data-model-complete.md) for Application Insights types and data model.
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* Check out [platforms](./app-insights-overview.md#supported-languages) supported by Application Insights.

articles/azure-monitor/app/asp-net-trace-logs.md

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The Azure Monitor Log Handler allows you to export Python logs to Azure Monitor.
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Instrument your application with the [OpenCensus Python SDK](./opencensus-python.md) for Azure Monitor.
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Instrument your application with the [OpenCensus Python SDK](/previous-versions/azure/azure-monitor/app/opencensus-python) for Azure Monitor.
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This example shows how to send a warning level log to Azure Monitor.
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articles/azure-monitor/app/azure-ad-authentication.md

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- [Application Insights Java 2.x SDK](deprecated-java-2x.md#monitor-dependencies-caught-exceptions-and-method-execution-times-in-java-web-apps).<br>
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Azure AD authentication is only available for Application Insights Java Agent greater than or equal to 3.2.0.
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- [ApplicationInsights JavaScript web SDK](javascript.md).
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- [Application Insights OpenCensus Python SDK](opencensus-python.md) with Python version 3.4 and 3.5.
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- [Application Insights OpenCensus Python SDK](/previous-versions/azure/azure-monitor/app/opencensus-python) with Python version 3.4 and 3.5.
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- [Certificate/secret-based Azure AD](../../active-directory/authentication/active-directory-certificate-based-authentication-get-started.md) isn't recommended for production. Use managed identities instead.
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- On-by-default codeless monitoring (for languages) for Azure App Service, Azure Virtual Machines/Azure Virtual Machine Scale Sets, and Azure Functions.
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- [Availability tests](availability-overview.md).

articles/azure-monitor/app/azure-vm-vmss-apps.md

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### [Python](#tab/python)
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To monitor Python apps, use the [SDK](./opencensus-python.md).
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To monitor Python apps, use the [SDK](/previous-versions/azure/azure-monitor/app/opencensus-python).
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---
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articles/azure-monitor/app/azure-web-apps.md

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* **Manually instrumenting the application through code** by installing the Application Insights SDK.
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This approach is much more customizable, but it requires the following approaches: SDK for [.NET Core](./asp-net-core.md), [.NET](./asp-net.md), [Node.js](./nodejs.md), [Python](./opencensus-python.md), and a standalone agent for [Java](./opentelemetry-enable.md?tabs=java). This method also means you must manage the updates to the latest version of the packages yourself.
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This approach is much more customizable, but it requires the following approaches: SDK for [.NET Core](./asp-net-core.md), [.NET](./asp-net.md), [Node.js](./nodejs.md), [Python](/previous-versions/azure/azure-monitor/app/opencensus-python), and a standalone agent for [Java](./opentelemetry-enable.md?tabs=java). This method also means you must manage the updates to the latest version of the packages yourself.
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If you need to make custom API calls to track events/dependencies not captured by default with autoinstrumentation monitoring, you need to use this method. To learn more, see [Application Insights API for custom events and metrics](./api-custom-events-metrics.md).
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articles/azure-monitor/app/create-workspace-resource.md

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- [Java](./opentelemetry-enable.md?tabs=java)
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- [JavaScript](./javascript.md)
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- [Node.js](./nodejs.md)
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- [Python](./opencensus-python.md)
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- [Python](/previous-versions/azure/azure-monitor/app/opencensus-python)
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### Codeless monitoring and Visual Studio resource creation
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articles/azure-monitor/app/distributed-tracing-telemetry-correlation.md

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* [Java](./opentelemetry-enable.md?tabs=java)
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* [Node.js](../app/nodejs.md)
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* [JavaScript](./javascript.md#enable-distributed-tracing)
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* [Python](opencensus-python.md)
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* [Python](/previous-versions/azure/azure-monitor/app/opencensus-python)
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With the proper Application Insights SDK installed and configured, tracing information is automatically collected for popular frameworks, libraries, and technologies by SDK dependency auto-collectors. The full list of supported technologies is available in the [Dependency auto-collection documentation](asp-net-dependencies.md#dependency-auto-collection).
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In addition to the Application Insights SDKs, Application Insights also supports distributed tracing through [OpenCensus](https://opencensus.io/). OpenCensus is an open-source, vendor-agnostic, single distribution of libraries to provide metrics collection and distributed tracing for services. It also enables the open-source community to enable distributed tracing with popular technologies like Redis, Memcached, or MongoDB. [Microsoft collaborates on OpenCensus with several other monitoring and cloud partners](https://open.microsoft.com/2018/06/13/microsoft-joins-the-opencensus-project/).
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For more information on OpenCensus for Python, see [Set up Azure Monitor for your Python application](opencensus-python.md).
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For more information on OpenCensus for Python, see [Set up Azure Monitor for your Python application](/previous-versions/azure/azure-monitor/app/opencensus-python).
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The OpenCensus website maintains API reference documentation for [Python](https://opencensus.io/api/python/trace/usage.html), [Go](https://godoc.org/go.opencensus.io), and various guides for using OpenCensus.
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Notice that there's a `spanId` present for the log message that's within the span. The `spanId` is the same as that which belongs to the span named `hello`.
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You can export the log data by using `AzureLogHandler`. For more information, see [Set up Azure Monitor for your Python application](./opencensus-python.md#logs).
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You can export the log data by using `AzureLogHandler`. For more information, see [Set up Azure Monitor for your Python application](/previous-versions/azure/azure-monitor/app/opencensus-python#logs).
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We can also pass trace information from one component to another for proper correlation. For example, consider a scenario where there are two components, `module1` and `module2`. Module1 calls functions in Module2. To get logs from both `module1` and `module2` in a single trace, we can use the following approach:
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articles/azure-monitor/app/get-metric.md

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In summary, we recommend `GetMetric()` because it does pre-aggregation, it accumulates values from all the `Track()` calls, and sends a summary/aggregate once every minute. The `GetMetric()` method can significantly reduce the cost and performance overhead by sending fewer data points while still collecting all relevant information.
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> [!NOTE]
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> Only the .NET and .NET Core SDKs have a `GetMetric()` method. If you're using Java, see [Sending custom metrics using micrometer](./java-standalone-config.md#autocollected-micrometer-metrics-including-spring-boot-actuator-metrics). For JavaScript and Node.js, you would still use `TrackMetric()`, but keep in mind the caveats that were outlined in the previous section. For Python, you can use [OpenCensus.stats](./opencensus-python.md#metrics) to send custom metrics, but the metrics implementation is different.
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> Only the .NET and .NET Core SDKs have a `GetMetric()` method. If you're using Java, see [Sending custom metrics using micrometer](./java-standalone-config.md#autocollected-micrometer-metrics-including-spring-boot-actuator-metrics). For JavaScript and Node.js, you would still use `TrackMetric()`, but keep in mind the caveats that were outlined in the previous section. For Python, you can use [OpenCensus.stats](/previous-versions/azure/azure-monitor/app/opencensus-python#metrics) to send custom metrics, but the metrics implementation is different.
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## Get started with GetMetric
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