Beringei is an embedded in-memory storage engine for time series data developed by Facebook. It was developed by Facebook to handle the growing scale of their system health monitoring data, as they needed a faster solution to storing constant stream of time series data, as well as a fast way to query this data.
The original name of the system was called Gorilla. The architecture was described in a VLDB 2015 research paper. The project was then open-sourced in 2017 and then discontinued in 2018. The original solution to handling monitoring data was an HBase-backed TSDB (Time series database), but the primary issues revolved around slow aggregate queries, and slow writes.
https://code.fb.com/core-data/beringei-a-high-performance-time-series-storage-engine/
https://github.com/facebookarchive/beringei
http://www.vldb.org/pvldb/vol8/p1816-teller.pdf
2015
2017
Gorilla