This article outlines Pinterest's transition from a batch-oriented database ingestion system to a real-time, unified framework using Change Data Capture and modern data processing technologies. It addresses the challenges faced with legacy systems and details the architectural improvements that led to lower latency and better resource efficiency.

This article details the improvements made to the Venice ingestion pipeline at LinkedIn, which now handles over 230 million records per second. It covers key optimizations, challenges with diverse workloads, and strategies for enhancing performance, particularly in bulk loading and active-active replication scenarios.