Product @Scale Spring 2022
as the organisers put it
We are excited to host the first Products @Scale conference for technologists who work on solving complex product problems at scale. The development and operation of large-scale products serving millions or even billions of people involve complex product and business tradeoffs and challenging engineering problems to overcome. The @Scale community focuses on bringing people together […]
who it's for
product managers, engineering managers, mobile engineers, machine learning engineers, backend engineers, data engineers, privacy engineers, platform engineers
topics
cross-platform AR runtime; crowdsourced mapping for autonomous driving; database-centric mobile architecture; SQLite-based app procedures; ML for trust and safety; real-time moderation ML pipelines; end-to-end encrypted backups; sensor data compression and tiling; creator monetization systems; A/B testing sandboxes for experiments
| title | author | length |
|---|---|---|
| Opening Remarks | Maria Angelidou-Smith | 06m |
Team starts adding online events in April 2020 and ships a fully functioning product in six months, turning virtual gatherings into a lasting feature after… | ||
| Keynote | Ime Archibong | 12m |
Meta describes a program that runs sandboxes inside billion-person apps to test zero-to-one ideas on subsets of users, with internal tooling to run… | ||
| Building a Cross-platform Runtime for AR Experiences | Nikita Lutsenko, Paul Wu | 25m |
Meta’s AR engine is a cross‑platform runtime plus renderer that already powers all AR across the apps family, serving 600 million users, 400,000 creators and… | ||
| Challenges & Opportunities for Building Crowdsourced Mapping Services for Autonomous Driving | Ruchi Bhargava | 19m |
NVIDIA aggregates sensor data from millions of DRIVE Hyperion vehicles into NVIDIA Map and converts compressed on-car mapstreams into HD maps using… | ||
| Scaling Messenger Product Development | Joshua Evenson | 17m |
A rewrite called Lightspeed moves Messenger to a database-centric architecture that keeps UI as thin view models that run SQL queries and stores app logic as… | ||
| ML Algorithms for Trust and Safety | Emre Sargin | 15m |
YouTube removes 3.75 million videos and 1.26 billion comments in Q4 2021 and claims roughly 92% of video removals and >99% of comment removals come from… | ||
| Building private products | Aleksander Bello | 19m |
WhatsApp runs on 2 billion users sending 100 billion messages a day and claims privacy as a product feature. It ships end-to-end encryption using the Signal… | ||
| Scaling ML workflows for real-time moderation challenges | Lukas Tencer, Lena Evans, Shiming Ren | 18m |
Twitch describes a real-time ML stack built to catch channel-level ban evasion and other chat abuse at ~31 million daily viewers, with models served via… | ||
| Live Panel: The Good, the Bad and the Glory of Building Products | Sara Wong, Xiao Li, Boulos Harb, Daniel Jacobson | 30m |
Covers concrete zero-to-one case studies: building voice search in 2007 with a language model that registers the first call from a landline and launches on… | ||
| Keynote - Building Products at Scale | Vijaye Raji | 12m |
Five concrete lessons for product teams: there are no overnight successes — the iPhone 4 spends 2.5 years in prototype before launch; five lessons emphasize… | ||
| Building visually stunning products | Steph Rhee, Laycee Berkas | 20m |
Two 0-to-1 creator products launch to a small group: IG Subscriptions with a subscriber badge (purple crown), subscriber-only Stories and Lives, and Music… | ||
| The Evolution of Facebook’s Mobile App Architecture | Dustin Shahidehpour | 21m |
Facebook moves from an HTML5 webview to native and faces a 30-second startup on iPhone 4, fragile runtime crashes from string IDs, and sprawling inter-module… | ||
| Mobile Development | Chad Landis | 24m |
Capital One explains concrete steps to scale mobile: codebases with 1.7 million lines of code, ~150 developers per platform and ~17 PRs/day move from dozens of… | ||
| Live Panel: Cross Platform Product Development | Jason Grandelli, Daniel Schafer, Denise Noyes, Kevin Galligan, Vishnu Nath | 42m |
Panel covers concrete cross‑platform wins and tradeoffs: using Kotlin Multiplatform to share business logic, a cross‑app shared authentication library for… | ||
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