Palette collects end user interaction latency, page loads, and JavaScript code profiles, tying slow user experiences and regressions to lines of code. Monitor and fix performance issues in minutes, not months.
Network payloads are compressed asynchronously off the main thread and are only sent during idle periods.
Palette's overhead across all end user sessions is equal to the profiler overhead (10%) multiplied by the percentage of users profiled.
As an example, your p95 typing latency might be 100ms. When enabling profiling on 3% of sessions, the latency will increase by 10% for 3% of users, resulting in a p95 of 100.3ms.
Base Latency
100ms
Sessions
3%
Latency with Profiling
100.3ms
Network payloads are compressed asynchronously off the main thread and are only sent during idle periods.
1import { init, profiler, paint } from "@palette.dev/browser";23init({ key: "YOUR_CLIENT_KEY", plugins: [profiler(), paint()] });45profiler.on(6 ["paint.click", "paint.keydown", "paint.scroll", "paint.mousemove"],7 { sampleInterval: 1, maxBufferSize: 100_000 }8);
