05/18/2026
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/