Can Datadog track requests across different environments, including VMs, containers, and Lambda functions?

Datadog is designed to provide comprehensive observability across various computing environments, including virtual machines (VMs), containers, and serverless functions like AWS Lambda. The platform integrates well with a variety of technologies, allowing users to track and monitor requests as they traverse through different layers of infrastructure.

By leveraging Datadog's tracing capabilities, organizations can gain insights into response times, identify bottlenecks, and analyze request flows across diverse environments. This ability to collect and correlate data from VMs, containers, and Lambda functions enables teams to achieve a holistic view of their applications and services.

This cross-environment tracking is crucial for modern cloud-native architectures, where distributed components may run in different contexts but need to work together seamlessly. Such insights are invaluable for diagnosing performance issues, optimizing resource allocation, and ensuring a smooth user experience across the board.