tail-based sampling
A sampling strategy used in distributed tracing systems in which a collector buffers complete trace data for an entire request chain and decides whether to retain it only after the full chain has completed. This approach balances storage costs against the completeness of debugging information.
Timeline (last 90 days)
Tail-based sampling in distributed tracing systems first caches all spans for a request, and only decides whether to retain them after the entire trace is complete.
The difference between Dllog and tail-based sampling is that Dllog pushes the deferred persistence decision mechanism down to the single-process logging level, requiring no distributed collection infrastructure.
All Facts (2)
Tail-based sampling in distributed tracing systems first caches all spans for a request, and only decides whether to retain them after the entire trace is complete.
50%UnverifiedThe difference between Dllog and tail-based sampling is that Dllog pushes the deferred persistence decision mechanism down to the single-process logging level, requiring no distributed collection infrastructure.
50%