Percona Live 2017 Open Source Database Conference

April 24 - 27, 2017

Santa Clara, California

Paul Dix

Paul Dix's picture

Paul Dix

CTO, InfluxData


Paul Dix is cofounder and CTO of InfluxData, the company behind InfluxDB, the open source time series database. He has helped build software for startups, large companies and organizations like Microsoft, Google, McAfee, Thomson Reuters, and Air Force Space Command. He is the series editor for Addison Wesley's Data & Analytics book and video series. In 2010 Paul wrote the book Service Oriented Design with Ruby and Rails for Addison Wesley's Professional Ruby series. In 2009 he started the NYC Machine Learning Meetup, which has over 9,000 members. Paul holds a degree in computer science from Columbia University.


26 April - 9:00 AM - 9:20 AM at Main Scenario
The traditional open source infrastructure business model relied on the backing company providing either support and professional services or closed source tools to provide additional functionality like production tooling, enhanced security and monitoring. For a time this model was good and it worked. However, since the larger cloud vendors like AWS, Azure, and Google have started offering... [read more]
25 April - 9:50 AM - 10:35 AM at Main Scenario
At Percona we see time series databases as a trend of 2017, hence the idea of having quick 5-minute lightning talks from projects that we think are stellar, followed by a quick panel on time series data stores in general. We discuss the "why a new time series data store" question, why these are ideal solutions, users, as well as where they see the future of this space.
26 April - 3:30 PM - 4:20 PM at Room 204
Over the last year and a half we built an open source storage engine from scratch specifically for time series data. In this presentation I take a deep dive into the storage engine inside InfluxDB. More than just a single storage engine, InfluxDB is two engines in one: the first for time series data and the second, an index for metadata. I'll delve into the optimizations for achieving high... [read more]