InfluxDB 3 is showcased through a satellite telemetry demo that monitors a simulated fleet of 12 satellites in real time. The demo highlights three key capabilities: the Processing Engine detecting anomalies as data is written (without a separate pipeline), scheduled enrichment of telemetry with third-party data like NOAA Kp index, and an AI agent connected via the InfluxDB 3 MCP server that can query live data and explain fleet health in plain language. The Processing Engine runs Python inside the database and supports write triggers, schedules, and HTTP requests. While framed around spacecraft operations, the architecture generalizes to any high-volume time-series use case such as industrial equipment, energy infrastructure, or logistics.

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Demo overviewUnder the hood: From raw telemetry to operational contextPutting the processing engine to workCheck out the demo and start buildingResourcesFAQs
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