~/talk

Does It Add Up? Exploring the Delta Temporality in OpenTelemetry & Beyond

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Explains when delta versus cumulative temporality actually matters, shows how OpenTelemetry uses start_time_unix_nano plus timestamp to form unbroken sequences, and walks the Collector pipeline from receivers to processors and exporters. Demonstrates practical tools: the cumulative_to_delta and delta_to_rate processors and the Transform processor, warns that some exporters (example: Prometheus remote write) drop delta points, and gives concrete guidance on when to convert temporality based on backend support and rate computation needs.

AI-written summary · about

  1. 0:00Delta temporality in OpenTelemetry
  2. 1:04Observability history & metrics
  3. 3:38StatsD vs Prometheus
  4. 5:04Temporality in OpenTelemetry
  5. 7:32Delta vs cumulative examples
  6. 9:20Time values in data points
  7. 13:15Impact on data pipelines
  8. 15:22Collector pipeline overview
  9. 17:10Processors for temporality
  10. 19:39Exporters & backend compatibility
  11. 21:43Delta to cumulative in backends
  12. 22:45Conclusion & best practices
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