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Cortex: Ingesting and Querying 100s of Billions of Samples Per Day

Talkat Kubernetes Forum Delhi 2020 · on Thursday, 2020-02-20· at 05:25· Hall 2 - DEF· [databases, observability]
slides:none on file

Introduces Prometheus and then explains Cortex, a horizontally scalable distributed implementation of Prometheus for ingesting and querying hundreds of billions of samples per day. Covers Cortex’s architecture—including decoupled, independently scalable ingest and query paths—traces the original design, the bottlenecks encountered, subsequent architectural changes, and current community work and future directions.

AI-written summary · about

  1. 0:00Start
  2. 4:25The Problem
  3. 6:22Solution: Project Frankenstein
  4. 7:25Frankenstein - Cortex
  5. 10:27Different ingest and query path
  6. 10:54Datamodel Prometheus
  7. 11:30Better indexing 11 schemas!
  8. 14:28Index Caching
  9. 15:04Query Caching
  10. 15:58Query Parallelisation
  11. 18:55Getting Started
  12. 20:02You're done!
  13. 20:18#2 Simple Setup
  14. 20:52Easy to operate?
  15. 21:34Status tomorrow
  16. 21:58TSDB inside Cortex
  17. 23:15Store: make index cache shared cache triendly #1825
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