Production-grade genpark-dapper-distributed-trace-sampler-skill skill for AI agents
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Updated
Sep 10, 2026 - Python
Production-grade genpark-dapper-distributed-trace-sampler-skill skill for AI agents
Production-grade genpark-dapper-distributed-trace-sampler-skill skill for AI agents
Extra decision stores for tail sampling in Trace4Cats
OpenTelemetry-compatible observability platform: OTLP ingestion, tail-based sampling with bounded memory, columnar storage with hand-tuned codecs, Drain log templating, and a hand-written query planner with predicate pushdown. Go · ClickHouse · Kafka.
Interactive XSLT lab showing how late error spans race tail-sampling decisions and erase trace evidence.
A distributed tracing backend in Go: OpenTelemetry ingest, trace assembly, and tail-based sampling.
A deterministic workbench for OpenTelemetry Collector configs: lint them for correctness, security, and cost-safety, and simulate telemetry flow to see what a config actually drops, samples, and transforms. CI-gateable, no LLM.
Model distributed-tracing sampling strategies against your traffic: retained trace volume, storage cost, collector decision-buffer memory, and the odds of actually capturing a rare error. Python CLI plus an offline web app.
Enterprise OpenTelemetry on EKS: 2-tier gateway, eBPF, LGTM (Loki, Grafana, Tempo, Mimir), Google SRE SLO alerts, 70–90% FinOps savings & AI-ready runtime (k8sgpt, HolmesGPT) for SRE agents.
Observability profile for Execution Boundary systems — OTel collector topology, semantic conventions, dashboards, alerts
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