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. See the Nuget package page for more details.

For example:

dotnet add package Datadog.Trace.Bundle --version 3.21.0

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

#!/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

# This line is can be uncommented if the project contains an nginx configuration in the project root
# cp /home/site/wwwroot/default /etc/nginx/sites-available/default && service nginx reload

service nginx reload

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

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> -g <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:

DD_API_KEY

Value: Your Datadog API key.
See Organization Settings > API Keys in Datadog.

DD_SITE

Value:
Your Datadog site. Defaults to datadoghq.com.
Use the “Datadog Site” drop-down menu on this page’s right navigation bar to select your site.

DD_SERVICE

Value: Your application’s service name.
Defaults to the name field value in package.json.
See Unified Service Tagging for more information on the service tag.

DD_ENV

Value: Your application’s environment name.
There is no default value for this field.
See Unified Service Tagging for more information on the env tag.

DD_VERSION

Value: Your application’s version.
There is no default value for this field.
See Unified Service Tagging for more information on the version tag.

DD_SERVERLESS_LOG_PATH

Value: The log path the sidecar uses to collect logs.
Where you write your logs. For example, /home/LogFiles/*.log or /home/LogFiles/myapp/*.log.

DD_AAS_INSTANCE_LOGGING_ENABLED

Value: false
When true, log collection is automatically configured for the additional file path: /home/LogFiles/*$COMPUTERNAME*.log

WEBSITES_ENABLE_APP_SERVICE_STORAGE

Value: true
Setting this environment variable to true allows the /home/ mount to persist and be shared with the sidecar.

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.