Inside LeoLabs: How Radar Engineers Track Over 27,000 Objects in Orbit With InfluxDB

LeoLabs, a Silicon Valley-based space technology company, utilizes InfluxDB to manage its global network of phased-array radar systems that monitor satellites and debris in low Earth orbit, providing critical space traffic management and collision avoidance services. By using InfluxDB Cloud Dedicated and Telegraf for data collection and storage, LeoLabs efficiently handles the immense volume of time series data generated by thousands of devices across multiple geographies, allowing the lean team to focus on high-impact tasks like optimizing their radar network rather than maintaining database systems. The company produces hundreds of millions of conjunction data messages monthly, enabling satellite operators to perform thousands of maneuvers to avoid collisions, and enhances space situational awareness through AI imaging systems that analyze radio interferometry signals. LeoLabs' infrastructure is designed to ensure data precision, reliability, and actionable insights, which are crucial for forecasting trajectories and ensuring satellite longevity. With a proactive, data-driven operational model, LeoLabs provides continuous visibility into the health and performance of its radar systems, leveraging historical data for predictive maintenance and machine learning to uncover patterns, ultimately ensuring that potential issues are detected and addressed in real-time.

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