~/panel

Panel: OpenTelemetry: Bridging Platform and Enablement

links:none on file
github:mansu
slides:none on file

Companies standardize on a managed stack and bootstrapped SDKs so most apps need no manual instrumentation, and an OTEL collector sidecar runs on pods and hosts to centralize pipelines. Cost controls include per-team quotas, rate limits, pre-aggregation, and 2% head sampling with tail sampling; one config change drops throughput from 350M to <3M events/day. Migrating from statsd to OpenTelemetry cuts CPU and tooling maintenance, enables end-to-end browser-to-backend traces, and makes profiling and aggregation pipelines practical.

AI-written summary · about

  1. 0:00OpenTelemetry panel intro
  2. 1:03Housekeeping
  3. 2:04Panelists
  4. 4:49Developer cognitive load
  5. 11:09Avoiding bottlenecks
  6. 15:42Major OpenTelemetry wins
  7. 23:26Telemetry data cost
  8. 31:30OpenTelemetry future
  9. 34:18Closing & Q&A
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