Introducing Lambda Enhanced Metrics

AWS Lambda decouples the need to provision and maintain a runtime environment from running code, allowing developers to focus on applications rather than infrastructure. However, serverless architectures introduce new challenges into monitoring and observability. Datadog addresses these issues with its enhanced AWS Lambda integration, which provides deeper insights into serverless functions by tracking key metrics like execution times, number of invocations, errors, cold starts, estimated costs, and memory usage across all Lambda functions in real-time and at higher granularity than standard CloudWatch metrics. This enables developers to visualize and alert on performance issues as they occur, monitor the frequency of cold starts, track function memory usage, and optimize cost efficiency by identifying expensive functions and refactoring them for improved efficiency and reduced costs.