~/talk

From Sampling To Full Visibility: Scaling Tracing To Trillions of Spans

slides:none on file

Claims a move from Zipkin→OTel migration and 100% sampling for critical flows while keeping costs low, validated on a workload of 3 trillion spans/day where 1% of traces contain most errors. Builds a columnar store with columnar storage + delta encoding, Bloom filters, partitioning and tiered hot/warm/cold storage, plus special shards for errors and slow spans to speed lookups. Reports 10–20x compression, another 2–3x from encoding, and 50–100x query improvement enabling full visibility without prohibitive storage costs.

AI-written summary · about

  1. 0:00SNMP to full observability
  2. 1:50Debugging with tracing signals
  3. 5:23Happy traces mystery
  4. 7:10Tail sampling challenges
  5. 8:13Trace data explosion scale
  6. 9:18100% sampling techniques
  7. 12:48Error traces special shards
  8. 13:51Tiered storage for cost
  9. 14:55Key takeaways on tracing
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