Cephalocon 2024

Data powers Bloomberg’s financial products. Ceph clusters are the backbone of Bloomberg’s internal S3 cloud storage systems, which host this data and serve billions of requests a day.During the intensive usage of the Ceph RGW object storage with multi-site settings, we encountered different types of data inconsistencies, such as bucket-index and RADOS object inconsistency, unfinished transactions, and multi-site replication inconsistency, etc. These inconsistencies may potentially be caused by software bugs, race conditions, system timeout, and other reasons. Since we cannot guarantee the system is always bug-free and operating smoothly, it’s crucial that we can identify the inconsistency – should it happen – and fix or report it. While there are existing tools and code in place to help address some of these issues, their usage has limitations. As such, we are proposing a scalable and extensible bucket scrubbing approach to systematically check and identify and fix any inconsistency in the RGW object storage system at the bucket-level, if possible. This talk will discuss the design of this bucket scrubbing system and a prototype of it that we are implementing at Bloomberg.