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Copy file name to clipboardExpand all lines: articles/api-management/trace-policy.md
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The `trace` policy adds a custom trace into the request tracing output in the test console, Application Insights telemetries, and/or resource logs.
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- The policy adds a custom trace to the [request tracing](./api-management-howto-api-inspector.md) output in the test console when tracing is triggered, that is, `Ocp-Apim-Trace` request header is present and set to `true` and `Ocp-Apim-Subscription-Key` request header is present and holds a valid key that allows tracing.
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- The policy creates a [Trace](../azure-monitor/app/data-model-trace-telemetry.md) telemetry in Application Insights, when [Application Insights integration](./api-management-howto-app-insights.md) is enabled and the `severity` specified in the policy is equal to or greater than the `verbosity` specified in the diagnostic setting.
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- The policy creates a [Trace](../azure-monitor/app/data-model-complete.md#trace) telemetry in Application Insights, when [Application Insights integration](./api-management-howto-app-insights.md) is enabled and the `severity` specified in the policy is equal to or greater than the `verbosity` specified in the diagnostic setting.
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- The policy adds a property in the log entry when [resource logs](./api-management-howto-use-azure-monitor.md#resource-logs) are enabled and the severity level specified in the policy is at or higher than the verbosity level specified in the diagnostic setting.
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- The policy is not affected by Application Insights sampling. All invocations of the policy will be logged.
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|Name|Description|Required|
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|----------|-----------------|--------------|
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| message | A string or expression to be logged. | Yes |
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| metadata | Adds a custom property to the Application Insights [Trace](../azure-monitor/app/data-model-trace-telemetry.md) telemetry. | No |
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| metadata | Adds a custom property to the Application Insights [Trace](../azure-monitor/app/data-model-complete.md#trace) telemetry. | No |
Copy file name to clipboardExpand all lines: articles/azure-monitor/app/app-insights-overview.md
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1.*Proactively* understand how an application is performing.
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1.*Reactively* review application execution data to determine the cause of an incident.
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In addition to collecting [Metrics](standard-metrics.md) and application [Telemetry](data-model.md) data, which describe application activities and health, Application Insights can also be used to collect and store application [trace logging data](asp-net-trace-logs.md).
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In addition to collecting [Metrics](standard-metrics.md) and application [Telemetry](data-model-complete.md) data, which describe application activities and health, Application Insights can also be used to collect and store application [trace logging data](asp-net-trace-logs.md).
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The [log trace](asp-net-trace-logs.md) is associated with other telemetry to give a detailed view of the activity. Adding trace logging to existing apps only requires providing a destination for the logs; the logging framework rarely needs to be changed.
Copy file name to clipboardExpand all lines: articles/azure-monitor/app/asp-net-dependencies.md
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### How does the automatic dependency collector report failed calls to dependencies?
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Failed dependency calls will have the `success` field set to False. The module `DependencyTrackingTelemetryModule` doesn't report `ExceptionTelemetry`. The full data model for dependency is described [Dependency telemetry: Application Insights data model](data-model-dependency-telemetry.md).
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Failed dependency calls will have the `success` field set to False. The module `DependencyTrackingTelemetryModule` doesn't report `ExceptionTelemetry`. The full data model for dependency is described in [Application Insights telemetry data model](data-model-complete.md#dependency).
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### How do I calculate ingestion latency for my dependency telemetry?
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* Set up custom dependency tracking for [Java](opentelemetry-enable.md?tabs=java#add-custom-spans).
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* Set up custom dependency tracking for [OpenCensus Python](./opencensus-python-dependency.md).
Copy file name to clipboardExpand all lines: articles/azure-monitor/app/codeless-overview.md
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# What is auto-instrumentation for Azure Monitor Application Insights?
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Auto-instrumentation quickly and easily enables [Application Insights](app-insights-overview.md) to make [telemetry](data-model.md) like metrics, requests, and dependencies available in your [Application Insights resource](create-workspace-resource.md).
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Auto-instrumentation quickly and easily enables [Application Insights](app-insights-overview.md) to make [telemetry](data-model-complete.md) like metrics, requests, and dependencies available in your [Application Insights resource](create-workspace-resource.md).
Copy file name to clipboardExpand all lines: articles/azure-monitor/app/correlation.md
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## Data model for telemetry correlation
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Application Insights defines a [data model](../../azure-monitor/app/data-model.md) for distributed telemetry correlation. To associate telemetry with a logical operation, every telemetry item has a context field called `operation_Id`. This identifier is shared by every telemetry item in the distributed trace. So even if you lose telemetry from a single layer, you can still associate telemetry reported by other components.
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Application Insights defines a [data model](../../azure-monitor/app/data-model-complete.md) for distributed telemetry correlation. To associate telemetry with a logical operation, every telemetry item has a context field called `operation_Id`. This identifier is shared by every telemetry item in the distributed trace. So even if you lose telemetry from a single layer, you can still associate telemetry reported by other components.
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A distributed logical operation typically consists of a set of smaller operations that are requests processed by one of the components. These operations are defined by [request telemetry](../../azure-monitor/app/data-model-request-telemetry.md). Every request telemetry item has its own `id` that identifies it uniquely and globally. And all telemetry items (such as traces and exceptions) that are associated with the request should set the `operation_parentId` to the value of the request `id`.
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A distributed logical operation typically consists of a set of smaller operations that are requests processed by one of the components. These operations are defined by [request telemetry](../../azure-monitor/app/data-model-complete.md#request). Every request telemetry item has its own `id` that identifies it uniquely and globally. And all telemetry items (such as traces and exceptions) that are associated with the request should set the `operation_parentId` to the value of the request `id`.
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Every outgoing operation, such as an HTTP call to another component, is represented by [dependency telemetry](../../azure-monitor/app/data-model-dependency-telemetry.md). Dependency telemetry also defines its own `id` that's globally unique. Request telemetry, initiated by this dependency call, uses this `id` as its `operation_parentId`.
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Every outgoing operation, such as an HTTP call to another component, is represented by [dependency telemetry](../../azure-monitor/app/data-model-complete.md#dependency). Dependency telemetry also defines its own `id` that's globally unique. Request telemetry, initiated by this dependency call, uses this `id` as its `operation_parentId`.
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You can build a view of the distributed logical operation by using `operation_Id`, `operation_parentId`, and `request.id` with `dependency.id`. These fields also define the causality order of telemetry calls.
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|`Operation_ParentId`|[parent-id](https://w3c.github.io/trace-context/#parent-id) of this span's parent span. This field must be empty if it's a root span.|
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For more information, see [Application Insights telemetry data model](../../azure-monitor/app/data-model.md).
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For more information, see [Application Insights telemetry data model](../../azure-monitor/app/data-model-complete.md).
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### Enable W3C distributed tracing support for .NET apps
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- For advanced correlation scenarios in ASP.NET Core and ASP.NET, see [Track custom operations](custom-operations-tracking.md).
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- Learn more about [setting cloud_RoleName](./app-map.md#set-or-override-cloud-role-name) for other SDKs.
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- Onboard all components of your microservice on Application Insights. Check out the [supported platforms](./app-insights-overview.md#supported-languages).
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- See the [data model](./data-model.md) for Application Insights types.
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- See the [data model](./data-model-complete.md) for Application Insights types.
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- Learn how to [extend and filter telemetry](./api-filtering-sampling.md).
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- Review the [Application Insights config reference](configuration-with-applicationinsights-config.md).
Copy file name to clipboardExpand all lines: articles/azure-monitor/app/custom-operations-tracking.md
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- Learn the basics of [telemetry correlation](correlation.md) in Application Insights.
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- Check out how correlated data powers [transaction diagnostics experience](./transaction-diagnostics.md) and [Application Map](./app-map.md).
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- See the [data model](./data-model.md) for Application Insights types and data model.
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- See the [data model](./data-model-complete.md) for Application Insights types and data model.
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- Report custom [events and metrics](./api-custom-events-metrics.md) to Application Insights.
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- Check out standard [configuration](configuration-with-applicationinsights-config.md#telemetry-initializers-aspnet) for context properties collection.
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- Check the [System.Diagnostics.Activity User Guide](https://github.com/dotnet/runtime/blob/master/src/libraries/System.Diagnostics.DiagnosticSource/src/ActivityUserGuide.md) to see how we correlate telemetry.
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