RTC @Scale 2023
as the organisers put it
Looking to drive innovation in real-time communications? Join RTC @Scale 2023 Conference and connect with industry leaders, engineers and developers.
who it's for
real-time communications engineers, media engine engineers, platform engineers, mobile engineers, site reliability engineers, machine learning engineers
topics
AV1 codec integration at scale; selective forwarding unit architectures; simulcast with temporal layers; bandwidth estimation algorithms; end-to-end media encryption; blind real-time video quality assessment; Kubernetes scale testing platform; global relay PoP architecture; AEC and noise suppression pipelines; dominant speaker detection and audio capping; rsys cross-platform realtime SDK; spatial audio for metaverse
| title | author | length |
|---|---|---|
| State of the Union | Rish Tandon | 14m |
Company reports 300 million audio and video calls on Messenger daily and launches 32-person video calls on WhatsApp while promising larger scales. A unified… | ||
| Real-time audio at Meta scale | Sriram Srinivasan | 19m |
Meta describes a production audio pipeline that ships across Messenger, Instagram, Facebook and WhatsApp and balances a low-compute baseline plus advanced ML… | ||
| AV1 for | Niklas Enbom | 18m |
Meta integrates AV1 at scale and reports 30–40% bitrate savings for camera video and up to 80% for screen content, uses reference picture resampling to avoid… | ||
| Keeping it Simple | Jonathan Christensen | 19m |
Thirty years of RTC lessons tied to concrete wins and failures: ICQ popularizes presence indicator on dial-up, MSN Messenger’s voice fails because nobody… | ||
| Live Q&A 1 with Speakers | Li-Tal Mashiach | 25m |
At scale, the system prioritizes end-to-end encryption prevents server decoding so heavy work moves to lightweight on-device pipelines: a low‑compute classical… | ||
| Top Considerations for Integrating RTC with Android Appliances | Sandhya Rao | 22m |
Android appliances run Microsoft Teams in desk‑phone, companion, large display and shared‑space form factors and target concrete tasks like touch‑to‑join… | ||
| Scaling for Large Group Calls | Yun Zhang, Bin Liu | 19m |
Explains a server-side scenario forwarding architecture that uses dominant speaker detection plus audio capping to forward only the top X active talkers… | ||
| Relay Infrastructure at WhatsApp Scale | Saish Gersappa, Nitin Khandelwal | 16m |
WhatsApp relays more than a billion calls daily using a global fabric of thousands of PoPs and per‑region clusters with hundreds of relay containers, automatic… | ||
| Live Q&A 2 with Speakers | Deniz Hastorun | 28m |
Live Q&A answers concrete operational details: speech activity uses 300 ms and 3 s windows for fast detection and stable decisions; end‑to‑end encryption… | ||
| Building a Flexible, Scalable Infrastructure to Test Dolby.IO at Scale | Vinay Matthew | 22m |
A Kubernetes cluster using Kubernetes + AWS Carpenter runs a scale-testing platform that accepts a DSL YAML blueprint to declare scenarios, spins heterogeneous… | ||
| Blind Quality Assessment for Real-Time Visual Communications | C.-C. Jay Kuo | 18m |
A lightweight ML pipeline for blind real‑time video quality assessment runs on end devices and claims near state‑of‑the‑art correlation with human mean opinion… | ||
| Beware the Bot Armies! Protecting RTC User Experience Using Simulations | wurzel parsons-keir | 25m |
Meta describes two simulation systems: Newton deterministic simulated clock compresses time by replacing real clocks and task queues so a 10‑minute call can… | ||
| Using Machine Learning to Enrich and Analyze Real-time Communications | Sid Rao | 18m |
Amazon Chime SDK demonstrates concrete ML features: Opus padding carries ML embeddings to reconstruct lost audio without extra packets, enabling up to 1 second… | ||
| Live Q&A 3 with Speakers | Li-Tal Mashiach | 20m |
Live Q&A covers concrete systems and results: test infrastructure measures audio and video quality via a dedicated media‑quality team and plans to plug those… | ||
| rsys SDK - Cross platform real-time system library | Ishan Khot, Hani Atassi | 18m |
Rsys is a smaller, faster cross-platform calling library built in C/C++ and WebRTC with a Redux-like state loop, a Genie IDL that generates native bindings… | ||
| Bringing RTC to Metaverse | Raman Walia, Shreyas Basarge | 22m |
Meta converts phone calls into avatar sessions that stream skeletal and expression data over WebRTC, using a root-level present service to maintain calls… | ||
| Live Q&A 4 with Speakers | Deniz Hastorun | 14m |
Project retrospection says core features start bundled but get modularized when metaverse scenarios drop camera and replace it with avatars; binary-size… | ||
| nothing matches | ||