Protecting Data Integrity in Confluent Cloud: Over 8 Trillion Messages Audited Per Day

The text discusses the importance of data durability in Apache Kafka® and how Confluent has been working on solving difficult and innovative data durability challenges. It highlights the role of Kafka as a system of record, which gives rise to new challenges and responsibilities for maintaining data safety and integrity. The focus is on durability auditing, which involves proactively detecting data integrity issues in Confluent Cloud. The text also mentions various scenarios where there could be lapses in durability and the lessons learned from managing Kafka clusters and trillions of processed messages over the years. It explains how Confluent performs extensive durability auditing and monitoring with real-time detection and alerting, using a source of truth for validation during sensitive operations. The text concludes by emphasizing the commitment of the Kafka Data Platform team at Confluent to ensuring data safety and integrity in their cloud service.