Video: Architecture of a Distributed Analytics/Storage Engine for Massive Time-Series Data

The numerical analysis of time-series data isn’t new. The scale of today’s problems is. With millions of concurrent data streams, some of which run at 1MM samples per second, the challenge of storing the data and making it continuously available for analysis is a daunting challenge.

At Circonus, we designed such a solution. Our CEO, Theo Schlossnagle, during Applicative 2015, discusses the approach and the technical details of how the system was constructed. Check out his talk…