AWS X-Ray introduces Adaptive Sampling for automatic optimized error detection

AWS X-Ray, a service that helps developers analyze and debug distributed applications by providing request tracing capabilities, now offers adaptive sampling to solve a common challenge for DevOps teams, Site Reliability Engineers (SREs), and application developers. These customers often face a difficult trade-off: setting sampling rates too low risks missing critical traces during incidents, while setting them too high unnecessarily increases observability costs during normal operations.
Today, with adaptive sampling, you can automatically adjust sampling rates within user-defined limits to ensure you capture the most important traces precisely when you need them. This helps development teams reduce mean time to resolution (MTTR) during incidents by providing comprehensive trace data for root cause analysis, while maintaining cost-efficient sampling rates during normal operations. Adaptive sampling supports two approaches, Sampling Boost and Anomaly Span Capture. These can be applied independently or can be combined together. Customers can use Sampling Boost to temporarily increase sampling rates when anomalies are detected to capture complete traces and Anomaly Span Capture to ensures anomaly-related spans are always captured, even when the full trace isn't sampled.
Adaptive sampling is currently available in all commercial regions where AWS X-Ray is offered. For more information, see the X-Ray documentation. and CloudWatch pricing page for X-ray pricing details.