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Keynote: Fireside chat with Martin Mao, CEO of Chronosphere

slides:none on file

Chronosphere grew from Uber work that produced M3 (Prometheus-compatible metrics), Jaeger (tracing) and an internal logging system that wasn’t open sourced, and offers hosted monitoring for Kubernetes and microservices. Emphasis lands on an outcome-based flow: notification, triage, root cause where metrics suit fast alerts, traces and logs suit deep debugging, and converting types speeds remediation. Fluent Bit now exposes extract metrics from logs in Prometheus format and rewrite-tag enrichment (example: Techton adds cluster/namespace metadata), enabling cross-tool jumps from dashboards into traces and reducing re-instrumentation.

AI-written summary · about

  1. 0:00Introduction
  2. 1:40What should companies be thinking about
  3. 5:44Three steps or phases
  4. 9:37Data types
  5. 13:13Metrics
  6. 16:40Open Telemetry
  7. 21:50The future
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