Migrating Data Ingestion Systems at Meta Scale

What this post added

This post details the successful migration of Meta's large-scale data ingestion system, which processes petabytes of social graph data daily. It outlines the challenges of migrating thousands of jobs, the phased migration lifecycle (shadow phase, reverse shadow phase, cleanup), custom data quality analysis tooling using row count and checksum comparisons, and strategies for handling rollout and rollback with change data capture (CDC). The post also describes automated tooling for monitoring and migrating jobs in batches, and planning for limited capacity by categorizing jobs based on throughput and priority.