Datadog is a monitoring and analytics platform that ingests trillions of data points per day, coming from more than 8,000 customers. Each of those is associated with metadata, mostly in the form of tags, and it can also be part of streams of related data points, which can then be explored, queried, or aggregated. RocksDB is used by many services at Datadog that are part of that metrics ingestion, aggregation, query, and index pipeline.

In this episode, Technical Evangelist Ara Pulido chats with James Bibby and Kenny House, who are both Team Leads at Datadog. They discuss why we chose to implement a datastore based on RocksDB, share their experiences adopting RocksDB for two different use cases, the challenges they found along the way, and the benefits of cross-team collaboration when adopting new technologies at an organization.