~/talk

Fleeting Metrics: Monitoring Short-lived or Serverless Jobs with Prometheus

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Defines the problem: Prometheus misses short-lived jobs and pull scraping yields gaps. Lays out three concrete approaches and trade-offs: event-based pipelines that derive metrics from traces/logs using OpenTelemetry, Loki or Tempo (high ingestion cost, sampling loses accuracy); push/partial-aggregation via Pushgateway or aggregation gateways (staleness, cardinality, single-point scaling limits; mentions a Rust aggregating gateway); and open/closed-box heuristics using kube-state-metrics, proxies or eBPF as low-cost, reliable alternatives. Demonstration shows patterns and pitfalls rather than a single silver-bullet solution.

AI-written summary · about

  1. 0:00Introduction to fleeting jobs
  2. 3:56Monitoring challenges
  3. 11:25Event-based observability
  4. 19:10Push-based metric solutions
  5. 26:44Alternative strategies
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