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This page details common use cases for adding and customizing observability with Datadog APM. For a list of supported runtimes, see the .NET Framework Compatibility Requirements or the .NET Core Compatibility Requirements.
There are several ways to get more than the default automatic instrumentation:
You can combine these solutions with each other to achieve the instrumentation detail you want. However, automatic instrumentation must be setup first.
Using the DD_TRACE_METHODS
environment variable, you can get visibility into unsupported frameworks without changing application code. For full details on the input format for DD_TRACE_METHODS
, see the .NET Framework configuration instructions or the .NET Core configuration instructions. For example, to instrument a method called SaveSession
defined on the Store.Managers.SessionManager
type, set:
DD_TRACE_METHODS=Store.Managers.SessionManager[SaveSession]
The resulting span has an operationName
attribute with the value trace.annotation
and a resourceName
attribute with the value SaveSession
.
If you want to customize the span’s attributes and you have the ability to modify the source code, you can instrument methods through attributes instead.
Add [Trace]
to methods for Datadog to trace them when running with automatic instrumentation. If automatic instrumentation is not enabled, this attribute has no effect on your application.
[Trace]
attributes have the default operation name trace.annotation
and resource name of the traced method. You can set operation name and resource name as named arguments of the [Trace]
attribute to better reflect what is being instrumented. Operation name and resource name are the only possible arguments that can be set for the [Trace]
attribute. For example:
using Datadog.Trace.Annotations;
namespace Store.Managers
{
public class SessionManager
{
[Trace(OperationName = "database.persist", ResourceName = "SessionManager.SaveSession")]
public static void SaveSession()
{
// your method implementation here
}
}
}
Datadog.Trace
NuGet package. to your application. It provides an API to directly access the Tracer and the active span.There are multiple ways to configure your application: using environment variables, a web.config
file, or a datadog.json
file, as described in our documentation. The Datadog.Trace
NuGet package also allows you to configure settings in code.
To override configuration settings, create an instance of TracerSettings
, and pass it to the static Tracer.Configure()
method:
using Datadog.Trace;
// Create a settings object using the existing
// environment variables and config sources
var settings = TracerSettings.FromDefaultSources();
// Override a value
settings.GlobalTags.Add("SomeKey", "SomeValue");
// Replace the tracer configuration
Tracer.Configure(settings);
Calling Tracer.Configure()
replaces the settings for all subsequent traces, both for custom instrumentation and for automatic instrumentation.
In addition to automatic instrumentation, the [Trace]
attribute, and DD_TRACE_METHODS
configurations, you can customize your observability by programmatically creating spans around any block of code.
To create and activate a custom span, use Tracer.Instance.StartActive()
. If a trace is already active (when created by automatic instrumentation, for example), the span is part of the current trace. If there is no current trace, a new one is started.
StartActive
. Disposing the scope closes the span, and ensures the trace is flushed to Datadog once all its spans are closed.using Datadog.Trace;
// Start a new span
using (var scope = Tracer.Instance.StartActive("custom-operation"))
{
// Do something
}
Add custom span tags to your spans to customize your observability within Datadog. The span tags are applied to your incoming traces, allowing you to correlate observed behavior with code-level information such as merchant tier, checkout amount, or user ID.
Manually created spans automatically integrate with spans from other tracing mechanisms. In other words, if a trace has already started, the manual span has its caller as its parent span. Similarly, any traced methods called from the wrapped block of code have the manual span as its parent.
using (var parentScope =
Tracer.Instance.StartActive("manual.sortorders"))
{
parentScope.Span.ResourceName = "<RESOURCE NAME>";
using (var childScope =
Tracer.Instance.StartActive("manual.sortorders.child"))
{
// Nest using statements around the code to trace
childScope.Span.ResourceName = "<RESOURCE NAME>";
SortOrders();
}
}
Add custom tags to your spans corresponding to any dynamic value within your application code such as customer.id
.
using Datadog.Trace;
public class ShoppingCartController : Controller
{
private IShoppingCartRepository _shoppingCartRepository;
[HttpGet]
public IActionResult Index(int customerId)
{
// Access the active scope through the global tracer
// Note: This can return null if there is no active span
var scope = Tracer.Instance.ActiveScope;
if (scope != null)
{
// Add a tag to the span for use in the Datadog web UI
scope.Span.SetTag("customer.id", customerId.ToString());
}
var cart = _shoppingCartRepository.Get(customerId);
return View(cart);
}
}
To mark errors that occur in your code, use the Span.SetException(Exception)
method. The method marks the span as an error and adds related span metadata to provide insight into the exception.
try
{
// do work that can throw an exception
}
catch(Exception e)
{
span.SetException(e);
}
This sets the following tags on the span:
"error.message":exception.Message
"error.stack":exception.ToString()
"error.type":exception.GetType().ToString()
You can configure the propagation of context for distributed traces by injecting and extracting headers. Read Trace Context Propagation for information.
Use the DD_TAGS
environment variable to set tags across all generated spans for an application. This can be useful for grouping stats for your applications, data centers, or regions within the Datadog UI. For example:
DD_TAGS=datacenter:njc,key2:value2
You can exclude traces based on the resource name to remove Synthetics traffic such as health checks. For more information about security and additional configurations, see Configure the Datadog Agent or Tracer for Data Security.