Performance is design.
Palette is the tool for building delightfully responsive web apps.
“Palette helps us identify and validate our approaches for fixing performance issues. Most recently, we used Palette to identify the cause of a 10% latency increase for initial page render.
With Palette now, we have more certainty as to what the issue is, and we know that when we fix it it'll actually fix it the next day.“
“Palette helps us identify and validate our approaches for fixing performance issues. Most recently, we used Palette to identify the cause of a 10% latency increase for initial page render.
With Palette now, we have more certainty as to what the issue is, and we know that when we fix it it'll actually fix it the next day.“
“I think Palette delivers a lot of value, not just to engineers, but also to engineering managers or the teams responsible for trying to figure out performance regressions. And the problem we often have is the one of attribution. The approach we took before was look at all the PRs in the release, guess which ones could have it could have been, and then essentially ask teams to prove to us that they didn't do it, which only works. What Palette is really enabling here is to go much quicker from what happened to who done it.“
“I think Palette delivers a lot of value, not just to engineers, but also to engineering managers or the teams responsible for trying to figure out performance regressions. And the problem we often have is the one of attribution. The approach we took before was look at all the PRs in the release, guess which ones could have it could have been, and then essentially ask teams to prove to us that they didn't do it, which only works. What Palette is really enabling here is to go much quicker from what happened to who done it.“
“Palette is the most helpful tool we have for identifying the root cause of performance issues.“
“Palette is the most helpful tool we have for identifying the root cause of performance issues.“
Light as a feather
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
Ahead of the curve
Network payloads are compressed asynchronously off the main thread and are only sent during idle periods.
Build Delightfully Responsive Apps
Try Palette to start building better apps.
Book a Demo1import { 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);