latency-critical-systems

What problem does it solve?

Latency-sensitive systems require careful design, measurement, and optimization to meet strict performance targets across streams, dashboards, and real-time services.

Core Features & Use Cases

• Track core latency metrics (p50, p95, p99), throughput, freshness age, queue depth, cache hit rate, and API response times to diagnose bottlenecks.
• Map hot paths end-to-end from source events to user-visible state to understand latency contributors.
• Apply a structured optimization order to reduce round trips, enable caching, batch small calls, and move compute closer to data or the user, with guardrails and canaries.
• Verify performance in live or staging environments with end-to-end timing, data freshness checks, and observations of degraded modes.

Quick Start

Identify latency bottlenecks and begin measuring p95 latency on critical paths using tracing and benchmarking.