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Workshop: Analyzing and Visualizing OpenTelemetry Traces with SQL

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Hands-on workshop shows traces ingested via the OpenTelemetry Collector into Promscale / Timescale Postgres (docker demo) and explored with Grafana + Jaeger using plain SQL. Queries use time_bucket & percentile_ag to produce throughput, histogram, and p95 over time (example: ~712 traces in 5 minutes, peak 46 traces/10s, slowest trace 7.2s). A recursive CTE for tree walk builds upstream/downstream topologies and a node graph that pinpoints the bottleneck (digit service random digit: 10.4 minutes total execution, p95 ~4.2s). All examples run live from the demo repo.

AI-written summary · about

  1. 0:00Start
  2. 0:36Analyzing and Visualizing Open Telemetry Traces with Sql
  3. 2:17Demo System
  4. 4:49Open Telemetry Collector
  5. 8:21Attach Events to a Span
  6. 11:49Build a Dashboard
  7. 17:35Time Buckets
  8. 20:31Histogram of Latencies
  9. 22:04P95 Latencies
  10. 24:14Build a Histogram of Latencies over Time
  11. 28:31Time Filter
  12. 28:56Edit Enable the Query
  13. 36:20Sampling
  14. 39:10How To Count to 10 and Sql
  15. 40:07Recursion
  16. 40:47Sequel Can Be Recursive
  17. 49:12The Node Graph
  18. 1:06:40Google Forms Survey
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