DOP 337: Nanoseconds Matter - InfluxDB and the Future of Real-Time Data

: Time series databases have become essential infrastructure for the physical AI revolution. As automation extends into manufacturing, autonomous vehicles, and robotics, the demand for high-resolution, low-latency data has shifted from milliseconds to nanoseconds. The difference between a general-purpose database and a specialized time series solution is the difference between a minivan and an F1 car - both will get around the track, but only one is built for the demands of real-time operational workloads. The open source business model continues to evolve in unexpected ways. While companies like Elastic and Redis have seen hyperscalers fork their projects, a new partnership paradigm is emerging. Amazon Web Services now pays to license InfluxDB and offers it as a managed service, signaling a shift toward collaboration rather than competition. This approach benefits everyone: vendors maintain development velocity, cloud providers get workloads on their platforms, and customers receive better-supported products. Evan Kaplan, CEO of InfluxData, joins Darin and Viktor to discuss the trajectory from observability metrics to physical world instrumentation, why deterministic models matter more than probabilistic ones when your robot might run over your cat, and what it takes to build a sustainable open source company over a decade-plus journey. Evan's contact information: X: LinkedIn: YouTube channel: Review the podcast on Apple Podcasts: Slack: Connect with us at:

You can listen to DOP 337: Nanoseconds Matter - InfluxDB and the Future of Real-Time Data online on Radio and Podcast. Open the player on this page to stream the available audio.

DOP 337: Nanoseconds Matter - InfluxDB and the Future of Real-Time Data is an episode from DevOps Paradox by Darin Pope.

This episode is 42:57 long.

This episode was published on Feb 11, 2026.

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