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Engineering at Meta Blog

Latest posts

Shipping Media Over QUIC at Meta Scale for Instagram Live Ingest

Meta has begun deploying Media over QUIC (MoQ), an emerging open protocol for real-time video streaming at scale. MoQ will help simplify our protocol stack for live streaming video and enhance overall user experience for live video. We’re sharing how we shipped MoQ on Instagram Live ingest, and what the future looks like from here. This work was also presented at DEMOQED 2026 . Instagram Live now

12 Oct 2026
Turning Opportunistic AI Inference Capacity Into Better Ads Recommendations

At Meta, we’ve built a system that enhances ads recommendations by leveraging idle inference capacity in our fleet. Two elasticity levers in the system allow ads recommendation work to expand across opportunistic capacity, without compromising baseline performance. This post describes how we designed and now operate the system at Meta’s scale and how it drives significant advertiser value and capa

12 Oct 2026
NTS: Authenticated Time at Meta

Meta’s public time service now speaks NTS (Network Time Security, RFC 8915) at nts.meta.com . Packets are authenticated, so a device can verify the time came from us and was not modified on the way. Our NTS servers hold no per-client state. Cookie keys are derived, not stored and not replicated. We’ve open sourced everything, including the protocol, server, client through Meta’s Time library on Gi

6 Oct 2026
Bringing Private Processing to Meta AI Glasses

We believe glasses are the best form factor for having AI help throughout your day. They can understand your personal context better than other kinds of devices and keep you present without picking up a mobile phone. Most of the time, glasses are helping you see well, protecting your eyes and complementing your look, and that’s it. But AI glasses have the capacity to provide superpowers like trans

24 Sep 2026
Open-Sourcing Rebalancer: A Generic, High-Performance Library for Solving Assignment Problems

We’re open-sourcing Rebalancer , the assignment-problem solver that has been used to solve resource allocation problems throughout Meta for over nine years. Rebalancer separates several related concerns: how to specify an assignment problem, how to store it efficiently in memory, how to solve it, and how to debug it. This separation of concerns is crucial to Rebalancer’s usability, scalability, an

21 Sep 2026
Inside Petal: Building the World’s First Petabit-Class Transoceanic Subsea Cable

Petal, the next step in Meta’s subsea innovation, will be the first subsea cable to deliver petabit capacity at transoceanic distances, connecting France and the United States over approximately 7,000 km (4,300 mi). Expected to enter service in 2029, it will be the first subsea cable system to deploy multi-core fiber technology at scale, doubling the capacity per fiber without a proportional incre

21 Sep 2026
ZGateway: Learnings from Putting a Proxy in Front of ZippyDB

We’re introducing ZGateway, the proxy we are using to unify traffic through ZippyDB, Meta’s most widely-used key value store. As a bonus, it also enables admission control, load balancing, cross-region resilience, and richer operations. ZippyDB is the most widely used key value store at Meta, backing product metadata, counters, and configuration, and can serve billions of operations per second acr

3 Sep 2026
An Organizational Second Brain: Building an AI That Learns From Experts

We’ve built an AI agent that acts as a secondary expert for a given domain, making deep specialist knowledge readily available and preserved for anyone in an organization to access, share, and build upon. This is not a typical domain-specific agent. Its novelty comes from integrating two layers: A structured, auditable knowledge architecture separates what the agent knows from how it reasons. A se

2 Sep 2026
MetaRoCE: A New RDMA Transport Built for AI-Scale Ethernet

Training and serving frontier AI models depends on fast, reliable networks that move data between GPUs without wasting compute cycles. To meet this challenge at scale, Meta designed MetaRoCE – a clean-sheet RDMA transport protocol purpose-built for AI workloads on commodity Ethernet. We’re releasing the MetaRoCE specification, a reference software implementation and a compliance test suite through

24 Aug 2026