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

Talkat Kubernetes Forum Bengaluru 2020 · on Monday, 2020-02-17· at 11:05· Royals· [databases]
slides:none on file

Introduces Prometheus and then describes Cortex, a horizontally scalable distributed implementation designed to ingest and query hundreds of billions of samples per day. Covers Cortex’s architecture—including decoupled ingest and query paths that scale independently—traces the original design, the bottlenecks encountered, subsequent architectural changes, and current community work and future plans.

AI-written summary · about

  1. 0:00Intro
  2. 1:04Prometheus
  3. 2:01Datamodel
  4. 3:50The Problem
  5. 4:25Requirements
  6. 5:02Solution: Project Frankenstein
  7. 5:57Frankenstein - Cortex
  8. 8:21Different ingest and query path
  9. 8:42Better indexing
  10. 10:10Index Caching
  11. 11:38Query Caching
  12. 12:28Query Parallelisation
  13. 13:32WIP
  14. 15:24Getting Started
  15. 15:56Simple Setup
  16. 16:29You're done!
  17. 17:27Easy to operate?
  18. 18:33Status tomorrow
  19. 19:36TSDB Inside Cortex
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