Install dependencies. Run the following commands:

npm install @datadog/serverless-compat
npm install dd-trace

Datadog recommends pinning the package versions and regularly upgrading to the latest versions of both @datadog/serverless-compat and dd-trace to ensure you have access to enhancements and bug fixes.

Start the Datadog Serverless Compatibility Layer and initialize the Datadog Node.js tracer. Add the following lines to your main application entry point file (for example, app.js):

require('@datadog/serverless-compat').start();

// This line must come before importing any instrumented module. 
const tracer = require('dd-trace').init()

Configure the Datadog Node.js tracer

Configuring the Node.js Tracing Library

Install dependencies. Run the following commands:

pip install datadog-serverless-compat
pip install ddtrace

Datadog recommends using the latest versions of both datadog-serverless-compat and ddtrace to ensure you have access to enhancements and bug fixes.

Start the Datadog Serverless Compatibility Layer and initialize the Datadog Python tracer. Add the following lines to your main application entry point file:

from datadog_serverless_compat import start
import ddtrace.auto

start()

Configure the Datadog Python tracer

Configuring the Python Tracing Library

Install dependencies. Download the Datadog JARs and deploy them with your function:

wget -O dd-java-agent.jar 'https://dtdg.co/latest-java-tracer'
wget -O dd-serverless-compat-java-agent.jar 'https://dtdg.co/latest-serverless-compat-java-agent'

See Datadog’s Maven Repository for any specific version of the Datadog Serverless Compatibility Layer.

Datadog recommends regularly upgrading to the latest versions of both dd-serverless-compat-java-agent and dd-java-agent to ensure you have access to enhancements and bug fixes.

Start the Datadog Serverless Compatibility Layer and initialize the Datadog Java tracer. Add the following -javaagent arguments to the JVM options.:

-javaagent:/path/to/dd-serverless-compat-java-agent.jar -javaagent:/path/to/dd-java-agent.jar

Note: the environment variable to set JVM options depends on the hosting plan (example, Consumption, Elastic Premium, Dedicated). See Azure Functions Java developer guide for more details on the appropriate environment variable for your hosting plan.

Configure the Datadog Java tracer

Configuring the Java Tracing Library

Install dependencies. Run the following commands:

dotnet package add Datadog.Azure.Functions

Datadog recommends regularly upgrading to the latest version of Datadog.AzureFunctions to ensure you have access to enhancements and bug fixes.

Start the Datadog Serverless Compatibility Layer.

If your Azure Function app uses the Isolated Worker model, add the following lines to your main application entry point file:

Datadog.Serverless.CompatibilityLayer.Start();

If your Azure Function app uses the In-Process model, add a NuGet package reference to Microsoft.Azure.Functions.Extensions:

dotnet package add Microsoft.Azure.Functions.Extensions

And add the following .cs file to your application:

using Datadog.Serverless;
using Microsoft.Azure.Functions.Extensions.DependencyInjection;

[assembly: FunctionsStartup(typeof(MyFunctionApp.Startup))]

namespace MyFunctionApp
{
   public class Startup : FunctionsStartup
   {
      public override void Configure(IFunctionsHostBuilder builder)
      {
            Datadog.Serverless.CompatibilityLayer.Start();
      }
   }
}

Configure Automatic Instrumentation

If your Azure Function app runs on Windows, add the following environment variables to your Function app:

CORECLR_ENABLE_PROFILING=1

CORECLR_PROFILER={846F5F1C-F9AE-4B07-969E-05C26BC060D8}

CORECLR_PROFILER_PATH_64=
C:\home\site\wwwroot\datadog\win-x64\Datadog.Trace.ClrProfiler.Native.dll

CORECLR_PROFILER_PATH_32=
C:\home\site\wwwroot\datadog\win-x86\Datadog.Trace.ClrProfiler.Native.dll

DD_DOTNET_TRACER_HOME=C:\home\site\wwwroot\datadog

If your Azure Function app runs on Linux, add the following environment variables to your Function app:

CORECLR_ENABLE_PROFILING=1

CORECLR_PROFILER={846F5F1C-F9AE-4B07-969E-05C26BC060D8}

CORECLR_PROFILER_PATH=
   /home/site/wwwroot/datadog/linux-x64/Datadog.Trace.ClrProfiler.Native.so

DD_DOTNET_TRACER_HOME=/home/site/wwwroot/datadog

Configure the Datadog .NET tracer

• Configuring the .NET Core Tracing Library
• Configuring the .NET Framework Tracing Library