Using logs to build a solid data infrastructure (or: why dual writes are a bad idea) | Confluent

This post introduces the fundamental concept of logs as a core component of robust data infrastructure, explaining how they are used in databases, replication, distributed algorithms, and stream processing systems like Kafka. It highlights the challenges of data integration in complex systems with multiple storage services and argues against dual writes due to race conditions and inconsistencies. The post advocates for using logs as a single source of truth to simplify data synchronization and build more reliable and scalable applications.