It is so popular that more than one in three people in the U.S. use it monthly, according to Facebook. We have ambitious goals around delivering a delightful experience for people using Facebook and a strong belief that responsiveness and smoothness are keystones of a high-quality product experience.

Facebook believes in building community through open source technology. Must win.....I would say so.

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LONDON, UNITED KINGDOM Unfortunately, it was often insufficient to diagnose these harder issues as we only collected durations alongside a few “proxy metrics” (e.g. When we discovered a regression in our beta or production releases, we would immediately look for configuration or experimentation changes that isolated it.

Software Engineer, Android Facebook Marketplace: The Wild West of E-Commerce The online flea market is used by one in three people in the U.S. Flipping for Profit: Meet the Couple Making Six Figures by Reselling Ryan and Allison Roots are full-time resellers -- they take new and used items, mark them up, and sell them online for a profit. This usually left us with only one possible path — to reproduce the regression locally, with profilers (Systrace and other local tools) and isolate the root cause.This last step is where a lot of investigations stalled, particularly when we found outlier regressions where only a small number of devices were experiencing a severe slowdown. Android UI Engineer

Android Software Engineer LONDON, UNITED KINGDOM LOS ANGELES, US

Profilo is a high-throughput, mobile-first performance tracing library.

The change is mostly in frequency, not duration, but on average results in a ~15ms shift from “partial” to “sticky” collection.These and other telemetry streams have changed how we think about regression detection and performance analysis for our mobile apps. BELLEVUE, US These cases couldn’t be easily replicated in our mobile device lab, which was designed to replicate more mainstream experiences. We’re very excited to see where we can take these ideas and tools with the help of the community and make mobile performance a much more tractable problem. We often knew the overall metric regressed, but we couldn’t pinpoint why.Further, the variation of performance conditions and system behaviors we find “out in the wild” of real-world deployment made app performance investigations one of our most difficult and time-consuming engineering challenges.Early on, regression management followed a simple workflow. TEL AVIV, ISRAEL

This inability to reproduce the state of the device and the system locally led to long turnaround times and an exhausting search through a stream of code and configuration changes.We soon realized that in order to increase our ability to diagnose issues and find opportunities for performance improvements, we needed to build a dedicated tool that could better gather and analyze much more detailed telemetry from the app as these slower interactions took place.The tool we ultimately built is called Profilo.

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With the rich telemetry from traces, we are able to build tooling to aggregate and compare CPU stack traces from release to release, making root-cause analysis of that particular type of regression something that takes less than an hour as opposed to days.

Android Software Engineer Android Software Engineer

We believe this is a first in Android performance libraries in that it understands internal VM structures and can collect stack traces without using the official Java APIs, thus overcoming many of the well-documented issues with suspension-based stack unwinding (see In order to get a better understanding of what the virtual machine and Android frameworks do on our behalf, we also developed ways to capture “systrace” telemetry (or more precisely, our apps’ “atrace” usage) in production.

By collecting rich streams of telemetry, it also enables new types of causality analyses, as well as a much more precise understanding of metrics such as “scroll fluidity” and “app responsiveness.”Before Profilo, our cold app startup was a very difficult metric to understand and maintain.