Browse past weeks of engineering reads.
Meta needed to migrate their legacy data ingestion system to a new architecture while maintaining reliability and consistency for real-time social graph snapshots at massive scale.
Building a social discovery system that efficiently surfaces Reels watched and reacted to by friends while scaling to billions of users.
Meta needed to modernize WebRTC across 50+ use cases while maintaining synchronization with upstream open-source development, avoiding the drift that typically occurs when large projects fork internally.
Meta needed to scale their ads ranking models to LLM-scale complexity and size while maintaining inference latency requirements for real-time ad serving.
Meta needed to handle massive-scale media processing (encoding, transcoding, filtering) across its family of apps, requiring efficient orchestration of complex audio/video pipelines using FFmpeg at an unprecedented scale.
Facebook Reels needed a way to enhance social discovery by surfacing content that friends have interacted with, requiring real-time computation of relationship strength and ranking of friend-engaged content at massive scale.
Messenger needed to protect user privacy when clicking links in chats while still detecting and warning users about malicious URLs, creating a tension between link safety scanning and end-to-end privacy.