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Observability at Scale: How Open Systems Collects Telemetry from Over 10'000 Edge Devices Worldwide

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Open Systems monitors a fleet of over 10,000 edge devices and central clusters, ingesting roughly 110 million metrics (bursting to 240M) and the uploader reports ~5 TiB of logs per day, using Thanos receiver and Grafana Loki backends. Architecture uses nginx with client TLS and tenant routing into dedicated Thanos pipelines, a telegraph producer buffer on devices to protect Prometheus, and Thanos 0.29’s active series limiting to avoid cardinality explosions. Alerts flow through Alertmanager to a Kubernetes operator called alert Handler for enrichment and grouping; the pipelines run in production and are reducing scale failures while alert-noise work continues.

AI-written summary · about

  1. 0:00Observability at scale intro
  2. 1:03Open Systems and SASE model
  3. 2:25Edge devices growth
  4. 3:26Mission Control monitoring
  5. 4:07Current monitoring pipeline
  6. 5:34Metrics stack evolution
  7. 6:40Scaling observability challenges
  8. 7:22Action plan for scalability
  9. 8:26Project timeline
  10. 8:47Thanos for metrics pipeline
  11. 10:51Why Thanos fits edge devices
  12. 11:12Global metrics architecture
  13. 12:34Tenant-based ingestion pipeline
  14. 13:16Cardinality explosion mitigation
  15. 14:21Prometheus Telegraf edge metrics
  16. 15:42Global metrics reading
  17. 16:24Query quality of service
  18. 17:26Portal query prioritization
  19. 18:09Unified observability state
  20. 18:52Alertmanager replacement
  21. 20:19Alert Handler empowerment
  22. 21:03Conclusion and future goals
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