Key Considerations For Success When Deploying A Solution For Best-of-breed Observability At Scale
summary
ChaosSearch positions an operational data lake that keeps raw logs in customer cloud storage and reads them back as a cloud storage passive read, transforms into an internal format and leaves data at rest with the customer. It claims 90% cost savings versus centralized observability by separating fast detection (Prometheus/Grafana) from large-scale analytics, offering Search and SQL APIs and integrations (OpenSearch Dashboards, Superset) with minutes ingest / seconds queries for JSON and semi-structured telemetry retained indefinitely without per-ingest billing.
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chapters (5)
- 0:00Introduction to observability challenges
- 2:49Centralization issues at scale
- 5:57Passive read approach for scalability
- 8:48Beyond observability to business value
- 12:37Customer success and Q&A
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