High-throughput meshes punish naive sampling. Keep everything and storage wins the argument; keep too little and the rare dependency edge that ruins a release disappears.
Head sampling sets the budget
Decide the percentage you can afford at the edge of the mesh, then defend that budget in writing. Application analytics for microservice dependency tracing only works if finance and SRE agree on the cost of visibility.
Tail sampling protects the strange
Errors, extreme latency, and specific tenant cohorts deserve preferential retention. Tail policies should name the journeys that matter commercially — not every red span equally.
Review sampling like capacity
Treat sampling config as a living artifact. In our cohorts, teams schedule a quarterly sampling review beside capacity planning so dependency clarity does not erode quietly after a traffic spike.
Curious about Trace Lab templates for sampling scorecards? Visit pricing or Tracing Lab.