Many organizations use AWS to build event-driven applications, utilizing services like AWS Lambda to enhance performance and scalability by processing requests between resources such as Amazon API Gateway and Amazon Kinesis. Datadog has expanded its serverless monitoring capabilities to provide detailed tracing and real-time insights for AWS managed services interacting with Python and Node.js Lambda functions, including services like SQS, SNS, and DynamoDB. This enhancement allows users to detect and address latency and errors, visualize service relationships, and correlate traces with performance metrics for comprehensive visibility and troubleshooting. By enabling quick identification of performance issues within serverless architectures, Datadog enhances users' ability to resolve problems and optimize configurations, thus improving application performance and reducing costs. Users can also leverage the new trace map and Trace Analytics to monitor and verify performance improvements after changes, with the option to sign up for a free trial for further exploration of Datadog's capabilities.