Datadog Serverless Monitoring for Amazon API Gateway, SQS, Kinesis, and more

Amazon Web Services (AWS) is widely used by organizations to build fully managed, event-driven applications that improve performance and scalability. These applications rely on AWS Lambda functions to process synchronous and asynchronous requests between resources such as Amazon API Gateway and Amazon Kinesis. Datadog Serverless Monitoring provides distributed tracing for Lambda-based applications, offering detailed insights into their performance. The latest updates from Datadog expand this functionality by providing visibility into the rest of AWS managed services that interact with Python and Node.js Lambda functions. This includes support for Amazon API Gateway, SQS, SNS, Kinesis, EventBridge, S3, and DynamoDB. These enhancements enable users to detect and alert on increases in latency and errors for managed APIs, queues, and data stores; pivot directly from AWS service alerts to associated high-latency or error traces for faster troubleshooting; visualize the relationship between each of their fully managed services in the APM trace map; and correlate latency or error traces with a service's performance metrics in one place. These capabilities provide end-to-end visibility for serverless applications, allowing users to quickly resolve request latency and errors by identifying the root cause of a performance issue anywhere in their serverless architecture.