Datadog has introduced automatically-generated insights to provide deeper visibility into the health and performance of AWS Lambda functions, enabling developers to quickly identify issues, troubleshoot errors, and optimize resource allocation. These insights use key data from Lambda functions to flag those that are failing or performing poorly, providing context into the nature of the problem, such as high memory usage or cold starts. The insights also include additional UI features, allowing developers to pivot to relevant traces and logs for immediate troubleshooting. Additionally, Datadog ties functions to their associated traces and logs, making it easier to correlate failing Lambda functions with relevant data, spot invocation problems in real-time, and view serverless functions in full view alongside other technologies.