Engineering at Meta

How do you migrate a data ingestion system that processes several petabytes daily without any downtime?

We just published a deep dive into how our team pulled this off. The system incrementally ingests up-to-date snapshots of Meta's social graph into the data warehouse for analytics, machine learning training, and product development across the company.

Key insight: The hardest problem wasn't just building the new architecture. It was also ensuring every single job could be migrated seamlessly while the system remained fully operational. That challenge was intensified by the sheer volume of jobs and the complexity of their logic. We addressed it with a rigorous 3-phase migration lifecycle, automated quality tooling, and clear migration planning.

Read the full technical deep dive on how our team pulled this off: engineering.fb.com/2026/05/12/data-infrastructure/migrating-data-ingestion-systems-at-meta-scale/

We're breaking ground on a new AI-optimized data center in Tulsa, Oklahoma — our first in the state.

Once operational, this facility will be purpose-built for AI workloads. Here's what's going into it from an engineering standpoint:

💧 Water-efficient cooling: The facility uses a closed-loop, liquid-cooled system that recirculates the same water and requires zero water for server cooling during the majority of the year. We're also paying the full costs of water and wastewater service so those costs aren't passed on to consumers.

⚡ Grid investment + clean energy: We're matching 100% of the data center's energy use with clean energy and adding over 1,500 MW of clean energy to the Oklahoma grid. Through our utility bills, we'll pay hundreds of millions of dollars to fund grid infrastructure that benefit all consumers.

🎓 Technical workforce development: We're partnering with Tulsa Tech and Tulsa Community College on a cross-institutional program for digital infrastructure careers. The goal: 200+ graduates annually trained in cooling simulation, fiber optics, structured cabling, and AI/data analytics programming.

🌾 Water restoration at scale: A 10-year partnership with Phytech will deploy plant-sensor technology across approximately 1,500 acres of commodity crops — corn, soybeans, winter wheat — to save over 50 million gallons of water per year. Part of our goal to be water positive by 2030.

More on our Tulsa data center: https://go.meta.me/1bac0e