Java supports adding instrumentation code through the use of a command line argument, javaagent.

1. Download the latest version of Datadog’s Java tracing library.
2. Place the tracing library inside your project. It must be included with your deployment. If you are using the azure-webapp-maven plugin, you can add the Java tracing library as a resource entry with type lib.
3. Set the environment variable JAVA_OPTS with --javaagent:/home/site/lib/dd-java-agent.jar. When your application is deployed, the Java tracer is copied to /home/site/lib/dd-java-agent.jar.

Instrumentation starts when the application is launched.

1. Add the ddtrace package to your project using your package manager.
2. Initialize the tracer by doing one of the following:
   • Set NODE_OPTIONS with --require=dd-trace/init
   • Include the tracer in your application’s entrypoint file:

     const tracer = require('dd-trace').init({ logInjection: true, });
     

     This also configures trace log correlation.

Add the Datadog.Trace.Bundle Nuget package to your project.

Note: When you complete Step 2, ensure that you also set the additional environment variables required by the .NET tracer.

Run the following script to install Datadog’s PHP tracing library:

#!/usr/bin/env bash

echo "Setting up Datadog tracing for PHP"
DD_PHP_TRACER_VERSION=1.8.3
DD_PHP_TRACER_URL=https://github.com/DataDog/dd-trace-php/releases/download/${DD_PHP_TRACER_VERSION}/datadog-setup.php

echo "Installing PHP tracer from ${DD_PHP_TRACER_URL}"
if curl -LO --fail "${DD_PHP_TRACER_URL}"; then
    eval "php datadog-setup.php --php-bin=all"
else
    echo "Downloading the tracer was unsuccessful"
    return
fi

cp /home/site/wwwroot/default /etc/nginx/sites-available/default && service nginx reload

This script is intended to run as the startup command, which installs the tracing module into PHP and then restarts the application.

1. Add ddtrace to your project.

2. Modify your startup command. Your new command should run ddtrace-run with your old command as an argument. That is: if your startup command is foo, modify it to run ddtrace-run foo.

   For example:

   ddtrace-run gunicorn --bind=0.0.0.0 --timeout 600 quickstartproject.wsgi
   

First, install the Datadog CLI and Azure CLI.

Login to your Azure account using the Azure CLI:

az login

Then, run the following command to set up the sidecar container:

export DD_API_KEY=<DATADOG_API_KEY>
export DD_SITE=<DATADOG_SITE>
datadog-ci aas instrument -s <subscription-id> -r <resource-group-name> -n <app-service-name>

Set your Datadog site to . Defaults to datadoghq.com.

Additional flags, like --service and --env, can be used to set the service and environment tags. For a full list of options, run datadog-ci aas instrument --help.

1. Configure environment variables. In Azure, add the following key-value pairs in Settings > Configuration > Application settings:

2. Configure a sidecar container for Datadog.

   1. In Azure, navigate to Deployment > Deployment Center. Select the Containers tab.
   2. Click Add and select Custom container.
   3. In the Edit container form, provide the following:
      • Image source: Other container registries
      • Image type: Public
      • Registry server URL: index.docker.io
      • Image and tag: datadog/serverless-init:latest
      • Port: 8126
   4. Select Apply.

3. Restart your application.

   If you modified a startup command, restart your application. Azure automatically restarts the application when new Application Settings are saved.