Overview

Prerequisites

The Datadog Forwarder Lambda function is required to ingest AWS Lambda traces, enhanced metrics, custom metrics, and logs.

To fully instrument your serverless application with distributed tracing, your Java Lambda functions must be using the Java 8 Corretto (java8.al2), Java 11 (java11) or Java 17 (java17) runtime.

Configuration

Install

Install the Datadog Lambda Library locally by adding one of the following code blocks into pom.xml (Maven) or build.gradle (Gradle). Replace VERSION below with the latest release (omitting the preceding v):

<dependency>
  <groupId>com.datadoghq</groupId>
  <artifactId>datadog-lambda-java</artifactId>
  <version>VERSION</version>
</dependency>

dependencies {
  implementation 'com.datadoghq:datadog-lambda-java:VERSION'
}

Instrument

1. Install the Datadog Lambda Layer on your function. The latest VERSION is 19.

   arn:aws:lambda:<AWS_REGION>:464622532012:layer:dd-trace-java:<VERSION>
   

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2. Configure the following environment variables on your function:

   JAVA_TOOL_OPTIONS: -javaagent:"/opt/java/lib/dd-java-agent.jar" -XX:+TieredCompilation -XX:TieredStopAtLevel=1
   DD_LOGS_INJECTION: true
   DD_JMXFETCH_ENABLED: false
   DD_TRACE_ENABLED: true
   

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3. Wrap your Lambda handler function using the wrapper provided by the Datadog Lambda Library:

   public class Handler implements RequestHandler<APIGatewayV2ProxyRequestEvent, APIGatewayV2ProxyResponseEvent> {
       public Integer handleRequest(APIGatewayV2ProxyRequestEvent request, Context context){
           DDLambda ddl = new DDLambda(request, context); //Required to initialize the trace
   
           do_some_stuff();
           make_some_http_requests();
   
           ddl.finish(); //Required to finish the active span.
           return new ApiGatewayResponse();
       }
   }
   

Subscribe

Subscribe the Datadog Forwarder Lambda function to each of your function’s log groups. This enables you to send metrics, traces, and logs to Datadog.

1. Install the Datadog Forwarder if you haven’t.
2. Subscribe the Datadog Forwarder to your function’s log groups.

Monitor Java Lambda function cold starts

Cold starts occur when your serverless applications receive sudden increases in traffic, including when the function was previously inactive or when it was receiving a relatively constant number of requests. Users may perceive cold starts as slow response times or lag. Datadog recommends you configure a monitor on Java Lambda function cold starts, and use Datadog Serverless Insights to keep cold starts to a minimum.

To create a Datadog monitor on Java Lambda function cold starts, follow the monitor creation steps with the following criteria:

• Metric Name: aws.lambda.enhanced.invocations
• From: runtime:java* and cold_start:true
• Alert Grouping: Multi Alert, trigger a separate alert for each function_arn

Tag

Although it is optional, Datadog recommends tagging your serverless applications with the reserved tags env, service, and version. For more information about reserved tags, see the Unified Service Tagging documentation.

Explore

After configuring your function following the steps above, view your metrics, logs, and traces on the Serverless homepage.

Monitor custom business logic

To submit a custom metric, see the sample code below:

public class Handler implements RequestHandler<APIGatewayV2ProxyRequestEvent, APIGatewayV2ProxyResponseEvent> {
    public Integer handleRequest(APIGatewayV2ProxyRequestEvent request, Context context){
        DDLambda ddl = new DDLambda(request, context);

        Map<String,Object> myTags = new HashMap<String, Object>();
            myTags.put("product", "latte");
            myTags.put("order","online");

        // Submit a custom metric
        ddl.metric(
            "coffee_house.order_value", // Metric name
            12.45,                      // Metric value
            myTags);                    // Associated tags

        URL url = new URL("https://example.com");
        HttpURLConnection hc = (HttpURLConnection)url.openConnection();
        hc.connect();

        ddl.finish();
    }
}

See the custom metrics documentation for more information on custom metric submission.

Connect logs and traces

To automatically connect Java Lambda function logs and traces, see Connecting Java Logs and Traces for instructions.

Upgrading

The Apache Foundation has announced that log4j, a popular Java logging library, is vulnerable to remote code execution. Some versions of datadog-lambda-java include a transitive dependency on log4j that may be vulnerable. The vulnerable versions are:

• <=0.3.3
• 1.4.0

The latest version of datadog-lambda-java is . Use this version (omitting the preceeding v) when following the upgrading instructions below.

If you do not wish to upgrade to 1.4.x, 0.3.x is updated with the latest log4j security patches as well. You may find the latest version of 0.3.x in the datadog-lambda-java repository.

The version of the datadog-lambda-java dependency in your Lambda function is set in pom.xml (Maven) or build.gradle (Gradle).

<dependency>
  <groupId>com.datadoghq</groupId>
  <artifactId>datadog-lambda-java</artifactId>
  <version>VERSION</version>
</dependency>

dependencies {
  implementation 'com.datadoghq:datadog-lambda-java:VERSION'
}

If you are upgrading from 0.3.x to 1.4.x and you wish to use the dd-trace-java tracer, find the reference to the dd-trace-java Lambda layer and change it to:

arn:aws:lambda:<AWS_REGION>:464622532012:layer:dd-trace-java:4