Run native #Python alongside your time series data to transform, analyze, and act on it the moment it lands. That's the Processing Engine in #InfluxDB 3. Watch @PeteWithProduct unpack how it works and what you can build with plugins.
How did industrial AI spark the partnership between InfluxData and @Litmus_io? 🤝
🎥 Watch the video to find out why this was the ideal moment for the Litmus Edge + #InfluxDB 3 Enterprise integration, and how it's helping drive faster insights and real impact across industrial
Regression analysis with time series data in Python provides a basis for understanding how values change over time.
👋 Check out this guide to get an understanding of regression as applied to time series data, how to prepare it in Python, and how to create regression models
How do you monitor factory equipment remotely without connecting cloud apps directly to critical infrastructure?
@OlympusControls built an edge-to-cloud architecture with MQTT, Telegraf + #InfluxDB to make machine telemetry accessible for real-time monitoring.
Read the story:
Telegraf is easy to deploy. Then 10 agents become 100.
Telegraf Controller 1.1 makes fleet-wide changes easier with config versioning, global constants, aliases + groups. Telegraf Enterprise adds HA with automatic Controller failover.
See what’s new: bit.ly/4hOn3wm