~/talk

Scaling Observability Stack for AIOPS

slides:none on file

Intuit runs ~2,500 Kubernetes services and keeps Prometheus metrics for a week by adding Thanos components (query, store, query-frontend) with S3 long‑term storage and an internal ALB in front of Thanos query. Root causes are Prometheus/Thanos chunk pool and index pack sizing, solved by tuning chunk_size and index pack settings and by using Thanos query-frontend to split ranges. End-to-end load tests show ~30s average, 99th p 65s, stable CPU/memory on C5 reserved instances and total cost ≈ $3,100/month (ALB $204, S3 ~$2).

AI-written summary · about

  1. 0:00Introduction
  2. 1:02Problem Statement
  3. 1:42Scaling Prometheus with Thanos
  4. 2:15Thanos Architecture
  5. 3:04Prometheus & Thanos
  6. 5:08Solution to Challenge - 1
  7. 6:15Solution to challenge - 2
  8. 7:29Challenges - 3
  9. 8:42Challenge - 4
  10. 10:45Final Solution
  11. 11:53Cost Analysis
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