~/talk

Observability Pipeline Query Languages: Present and the Future

slides:none on file

Proposes collapsing many vendor languages into a SQL-centered approach (semantic standard first) and demos a proof-of-concept: an open source Grafana plugin backed by ClickHouse that parses logs, extracts fields, performs enrichment (threat intel joins) and compiles to large SQL for execution. Claims a month-long prototype works end-to-end and can be transpiled to vendor dialects, aims to add extensibility for ops primitives like a rate operator and concise pipe SQL composition, solving awkward patterns such as top N plus others aggregation.

AI-written summary · about

  1. 0:00Observability pipeline query languages
  2. 3:49From Unix pipes to modern languages
  3. 7:01Observability market growth and fragmentation
  4. 10:13Problems with proprietary languages
  5. 12:41SQL as unified solution
  6. 16:34Why SQL wasn't adopted
  7. 19:24Challenges of SQL for observability
  8. 21:09Improving SQL with extensions
  9. 22:56Demo of SQL extensions
  10. 26:49Path to standardization
  11. 28:59Future of AI and query languages
  12. 31:32Q&A
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