DevOps Paradox DOP 337: Nanoseconds Matter - InfluxDB and the Future of Real-Time Data
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Feb 11, 2026 Evan Kaplan, CEO of InfluxData and longtime leader in time series databases, discusses real-time data for physical automation. He talks about why nanosecond-accurate sampling and low-latency storage matter for robotics and autonomous vehicles. He explains trade-offs in sampling and storage, the need for deterministic models in safety-critical systems, and how open source licensing and cloud partnerships are evolving.
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Physical Automation Demands Ultra-Fine Time Resolution
- High-fidelity time-series data is essential as automation moves into the physical world.
- Nanosecond and microsecond resolution enable deterministic models for safety-critical actions.
Keep Data Fit For Purpose And Downsample
- Collect high-resolution data only when it serves your utility and downsample for long-term storage.
- Keep the fidelity that separates signal from noise and avoid paying for unnecessary granularity.
Deterministic Models For Safety-Critical Systems
- Deterministic models matter more than probabilistic ones for physical-world systems.
- For tasks where safety is critical, probabilistic generative AI approaches are insufficient by themselves.