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Datadog Java Agent for APM

This is a Java Agent made for instrumenting Java applications using the Datadog Tracer. Once attached to one of your JVM you should see traces into your Datadog APM.

Tracing instrumentations can be done in 2 ways:

❗ Warning: This library is currently at Alpha stage. This means that even if we rigorously tested instrumentations you may experience strange behaviors depending on your running environment. It must evolve quickly though. For any help please contact support@datadoghq.com.

Quick start

1. Install the Datadog Agent on your OS

The Java instrumentation library works in collaboration with a local agent that transmits the traces to Datadog. To install it with tracing please follow these steps:

[Main]
# Enable the trace agent.
apm_enabled: true

2. Instrument your application

To instrument your project or your servers you simply have to declare the provided jar file in your JVM arguments as a valid -javaagent:.

We assume that your ${M2_REPO} env variable is properly setted. Don't forget to replace the {version} placeholder in the following commands.

  • So first download the jar file from the main Maven repository:
> mvn dependency:get -Dartifact=com.datadoghq:dd-java-agent:{version}
  • Then add the following JVM argument when launching your application (in IDE, using Maven run or simply in collaboration with the >java -jar command):
-javaagent:${M2_REPO}/com/datadoghq/dd-java-agent/0.0.1/dd-java-agent-{version}.jar

That's it! If you did this properly the agent was executed at pre-main, had detected and instrumented the supported libraries and custom traces. You should then see traces on Datadog APM.

Instrumented frameworks

When attached to an application the dd-java-agent automatically instruments the following set of frameworks & servers.

Frameworks

FWK Versions Comments
OkHTTP 3.x HTTP client calls with cross-process headers
Apache HTTP Client 4.x HTTP client calls with cross-process headers
AWS SDK 1.x Trace all client calls to any AWS service
Web Servlet Filters Depending on server See Servers section

Servers

FWK Versions Comments
Jetty 8.x, 9.x Trace all incoming HTTP calls with cross-process capabilities
Tomcat 8.0.x, 8.5.x & 9.x Trace all incoming HTTP calls with cross-process capabilities

Modern web application frameworks such as Dropwizard or Spring Boot are automatically instrumented thanks to these servers instrumentation. (See example projects)

Databases

FWK Versions Comments
Spring JDBC 4.x Please check the following JDBC instrumentation section
Hibernate 5.x Please check the following JDBC instrumentation section
MongoDB 3.x Intercepts all the calls from the MongoDB client
ElasticSearch 3.x, 5.x Intercepts all the calls from the ES client

JDBC instrumentation

By enabling the JDBC instrumentation you'll intercept all the client calls to the following DBs: MySQL, PostgreSQL, H2, HSQLDB, IBM DB2, SQL Server, Oracle, MariaDB, etc...

But unfortunately this can not be done entirely automatically today. To enable tracing please follow the instructions provided on the java-jdbc opentracing contrib project.

We also provide an [example project with Spring Boot & MySQL](web application frameworks).

Custom instrumentations

The @trace annotation

By adding the @trace annotation to a method the dd-java-agent automatically measures the execution time.

@Trace
public void myMethod() throws InterruptedException{
		...
}

By default, the operation name attach to the spawn span will be the name of the method and no meta tags will be attached.

You can use the the operationName and tagsKV attributes to customize your trace:

@Trace(operationName="Before DB",tagsKV={"mytag","myvalue"})
public void myMethod() throws InterruptedException{
	....
}

Enabling custom tracing

  • Add the agent as a dependency of your project
<dependency>
	<groupId>com.datadoghq</groupId>
	<artifactId>dd-java-agent</artifactId>
	<version>{version}</version>
</dependency>
  • Enable custom tracing by adding this JVM property -Ddd.enable_custom_tracing

If you want to see custom tracing in action please run the Dropwizard example.

Other useful resources

Before instrumenting your own project you might want to run the provided examples:

Other links that you might want to read: