Tail sampling vs. head sampling in distributed tracing

In this video, Grafana Labs' Robin Gustafsson (CEO for K6 + VP, Product) and Sean Porter (Distinguished Engineer) discuss the differences between head sampling and tail sampling approaches in distributed tracing. They explore why head sampling often amounts to sampling randomly and hoping for the best, while tail sampling — the approach used by Adaptive Traces in Grafana Cloud — allows you to intelligently capture the traces that actually matter to you.

Links/resources:
Learn about Adaptive Traces: https://grafana.com/docs/grafana-cloud/adaptive-telemetry/adaptive-traces/
Read this blog post for more info: https://grafana.com/blog/capture-high-value-traces-without-managing-a-pipeline-tail-sampling-with-adaptive-traces
Get started with the Grafana Cloud forever-free tier: https://grafana.com/g/cloud
Have a question? Ask Grot, your AI helper: https://grafana.com/grot/
Reach out in our community forums: https://gra.fan/communityyf

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