Exploring InfluxDB 3: Advancing Core & Enterprise
Session date: Mar 25, 2025 08:00am (Pacific Time)
Join us as we take the next step in the evolution of InfluxDB 3 Core & Enterprise. Building on the foundation of our public alpha, we’re introducing key enhancements to speed, scalability, and developer experience with the beta.
Hear from InfluxData’s CTO, Paul Dix, and Senior Product Manager, Peter Barnett, as they discuss the latest InfluxDB 3 release: what it includes, what to look forward to, and how to get the most out of your time-series data.
Whether you’re already exploring InfluxDB 3 or just getting started, this session will give you an inside look at the latest capabilities and what’s coming next.
In this webinar, Peter and Paul will show you:
- The latest enhancements designed to optimize performance & efficiency.
- Expanded capabilities for enterprise-scale workloads.
- How these updates simplify time-series data ingestion, storage & analysis.
- Open Q&A
Download the alpha here and register today to learn more.
Peter Barnett
Senior Product Manager, InfluxData
Peter Barnett is a Senior Product Manager at InfluxData, where he guides the development of new InfluxDB solutions. With more than eight years of experience in software engineering and product management, his expertise lies in data analytics and time series products. Peter previously was the Director of Product at a Series B startup and worked as a software engineer for a Fortune 500 organization. With multiple degrees in technology and business, Peter is passionate about solving complex problems and delivering value through innovative, customized solutions.
Paul Dix
Founder and Chief Technology Officer, InfluxData
Paul is the creator of InfluxDB. 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. In 2009, he started the NYC Machine Learning Meetup, which now has over 13,000 members. Paul holds a degree in computer science from Columbia University.
