Agent skill · software engineering · jeremylongshore
sentry-load-scale
Scale Sentry for high-traffic applications handling millions of events
Why this skill is useful
Provides specific adaptive sampling strategies and SDK performance optimizations for high-traffic applications that the AI wouldn't reliably generate on its own.
What it needs
Requires @sentry/node installed locally. Requires sentry account access. About 9k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
Sentry Load & Scale Overview Configure Sentry for applications processing 1M+ requests/day without sacrificing error visibility, burning through quota, or adding measurable SDK overhead. Covers adaptive sampling, connection pooling, multi-region tagging, quota management, SDK benchmarking, batch submission, load testing, and self-hosted deployment considerations. Prerequisites Application handling sustained high traffic (>10K requests/min or >1M events/day) Sentry organization with quota and billing access (Settings > Subscription) @sentry/node v8+ installed (npm ls @sentry/node) Performance baseline established (p50/p95/p99 latency without Sentry) Event volume estimates calculated per category (errors, transactions, replays, attachments) Instructions Step 1 — Implement Adaptive Sampling Static tracesSampleRate wastes quota at scale because it treats a health check the same as a checkout. Replace it with a traffic-aware tracesSampler that adjusts rates based on endpoint criticality and current load. Traffic-aware tracesSampler: Adaptive error deduplication with beforeSend: Step 2 — Optimize SDK for Minimal Overhead At high throughput, every byte and every millisecond of SDK processing matters. This configuration reduces memory footprint, payload size, and CPU time. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/sentry-load-scale