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articles/azure-functions/dotnet-isolated-process-guide.md

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| **`GetHttpRequestDataAsync`** | Gets the `HttpRequestData` instance when called by an HTTP trigger. This method returns an instance of `ValueTask<HttpRequestData?>`, which is useful when you want to read message data, such as request headers and cookies. |
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| **`GetHttpResponseData`** | Gets the `HttpResponseData` instance when called by an HTTP trigger. |
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| **`GetInvocationResult`** | Gets an instance of `InvocationResult`, which represents the result of the current function execution. Use the `Value` property to get or set the value as needed. |
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| **` GetOutputBindings`** | Gets the output binding entries for the current function execution. Each entry in the result of this method is of type `OutputBindingData`. You can use the `Value` property to get or set the value as needed. |
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| **` BindInputAsync`** | Binds an input binding item for the requested `BindingMetadata` instance. For example, you can use this method when you have a function with a `BlobInput` input binding that needs to be accessed or updated by your middleware. |
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| **`GetOutputBindings`** | Gets the output binding entries for the current function execution. Each entry in the result of this method is of type `OutputBindingData`. You can use the `Value` property to get or set the value as needed. |
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| **`BindInputAsync`** | Binds an input binding item for the requested `BindingMetadata` instance. For example, you can use this method when you have a function with a `BlobInput` input binding that needs to be accessed or updated by your middleware. |
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The following is an example of a middleware implementation that reads the `HttpRequestData` instance and updates the `HttpResponseData` instance during function execution. This middleware checks for the presence of a specific request header(x-correlationId), and when present uses the header value to stamp a response header. Otherwise, it generates a new GUID value and uses that for stamping the response header.
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### Output bindings
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To write to an output binding, you must apply an output binding attribute to the function method, which defined how to write to the bound service. The value returned by the method is written to the output binding. For example, the following example writes a string value to a message queue named `output-queue` by using an output binding:
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To write to an output binding, you must apply an output binding attribute to the function method, which define how to write to the bound service. The value returned by the method is written to the output binding. For example, the following example writes a string value to a message queue named `output-queue` by using an output binding:
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:::code language="csharp" source="~/azure-functions-dotnet-worker/samples/Extensions/Queue/QueueFunction.cs" id="docsnippet_queue_output_binding" :::
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articles/azure-monitor/app/asp-net-trace-logs.md

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## Use DiagnosticSource events
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You can configure [System.Diagnostics.DiagnosticSource](https://github.com/dotnet/corefx/blob/master/src/System.Diagnostics.DiagnosticSource/src/DiagnosticSourceUsersGuide.md) events to be sent to Application Insights as traces. First, install the [`Microsoft.ApplicationInsights.DiagnosticSourceListener`](https://www.nuget.org/packages/Microsoft.ApplicationInsights.DiagnosticSourceListener) NuGet package. Then edit the "TelemetryModules" section of the [ApplicationInsights.config](./configuration-with-applicationinsights-config.md) file.
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You can configure [System.Diagnostics.DiagnosticSource](https://github.com/dotnet/runtime/blob/main/src/libraries/System.Diagnostics.DiagnosticSource/src/DiagnosticSourceUsersGuide.md) events to be sent to Application Insights as traces. First, install the [`Microsoft.ApplicationInsights.DiagnosticSourceListener`](https://www.nuget.org/packages/Microsoft.ApplicationInsights.DiagnosticSourceListener) NuGet package. Then edit the "TelemetryModules" section of the [ApplicationInsights.config](./configuration-with-applicationinsights-config.md) file.
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```xml
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<Add Type="Microsoft.ApplicationInsights.DiagnosticSourceListener.DiagnosticSourceTelemetryModule, Microsoft.ApplicationInsights.DiagnosticSourceListener">

articles/azure-monitor/app/migrate-from-instrumentation-keys-to-connection-strings.md

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1. Configure the Application Insights SDK by following [How to set connection strings](sdk-connection-string.md#set-a-connection-string).
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> [!IMPORTANT]
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> Don't use both a connection string and an instrumentation key. The latter one set supersedes the other, and could result in telemetry not appearing on the portal. [missing data](#missing-data).
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> Don't use both a connection string and an instrumentation key. The latter one set supersedes the other, and could result in telemetry not appearing on the portal. See [missing data](#missing-data).
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## Migration at scale
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articles/azure-monitor/includes/azure-monitor-app-insights-opentelemetry-faqs.md

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Some customers have begun to use the [OpenTelemetry Collector](https://github.com/open-telemetry/opentelemetry-collector/blob/main/docs/design.md) as an agent alternative, even though Microsoft doesn't officially support an agent-based approach for application monitoring yet. In the meantime, the open-source community has contributed an [OpenTelemetry Collector Azure Monitor Exporter](https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/exporter/azuremonitorexporter) that some customers are using to send data to Azure Monitor Application Insights.
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We plan to support an agent-based approach in the future, but the details and timeline aren't available yet. Our objective is to provide a path for any OpenTelemetry-supported language to send to Azure Monitor via the [OpenTelemetry Protocol (OTLP)](https://github.com/open-telemetry/opentelemetry-specification/blob/main/specification/protocol/README.md). This approach enables customers to observe applications written in languages beyond our [supported languages](../app/app-insights-overview.md#supported-languages).
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We plan to support an agent-based approach in the future, but the details and timeline aren't available yet. Our objective is to provide a path for any OpenTelemetry-supported language to send to Azure Monitor via the [OpenTelemetry Protocol (OTLP)](https://github.com/open-telemetry/opentelemetry-proto/blob/main/docs/README.md). This approach enables customers to observe applications written in languages beyond our [supported languages](../app/app-insights-overview.md#supported-languages).
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### What's the difference between OpenCensus and OpenTelemetry?
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