ScyllaDB Summit Preview: ScyllaDB and KairosDB in Smart Vehicle Diagnostics

In a preview for the ScyllaDB Summit 2018, speakers Brian Hawkins and Bin Wang discuss the integration of ScyllaDB and KairosDB in smart vehicle diagnostics. Brian highlights KairosDB's scalability and customizability, making it a standout choice among time-series databases, while Bin explains its application at Faraday Future for managing automotive real-time data. Faraday Future utilizes a data pipeline involving RabbitMQ, Spring Cloud, and Kafka to encode and store hundreds of signals per second from vehicles in KairosDB and persist them in ScyllaDB. This system is complemented by Grafana for visualization, Spark for data analysis, and Spring Cloud for API management. Brian emphasizes the importance of scaling to handle data flow and understanding tag cardinality to optimize query performance. The summit aims to showcase such innovative uses, encouraging participants to explore these technologies further.