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Products

INFLUXDB 3 PRODUCTS

Self-Managed

InfluxDB 3 Enterprise NEW
InfluxDB 3 Core (OSS) NEW

Fully Managed

InfluxDB Cloud Serverless
InfluxDB Cloud Dedicated

Telegraf

Telegraf Enterprise NEW
Telegraf (OSS)

RESOURCES

icon Platform Overview
icon Client Libraries
icon Explore All Integrations
Use Cases

USE CASES

Network & Infrastructure Monitoring
IoT Analytics & Predictive Maintenance
Machine Learning & AI
Modern Data Historian

INDUSTRIES

Manufacturing & IIoT
Aerospace
Energy & Utilities
Financial Services
Telecommunications
Explore All

Siemens Energy Scales Global BESS Operations

See How
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Contact Us

Keeping LeoLabs’ Real-Time Radar Network Running with InfluxDB

Session Date: Nov 04, 2025
Time: 1:00pm (PT) | 9:00pm (GMT)

LeoLabs is pioneering the future of space safety with a global network of radars that track satellites and orbital debris in low Earth orbit. These systems generate massive volumes of telemetry data (from monitoring radar hardware to tracking satellites) that must be processed and analyzed in real time. To meet these demands, LeoLabs relies on InfluxDB to deliver high performance, scalability, and reliability across thousands of devices and servers worldwide. In this technical case study webinar, LeoLabs will share how InfluxDB powers their radar operations and development teams. From deploying Telegraf at scale with Ansible, to using Kubernetes and Grafana for visibility, their stack handles telemetry, Python log data, and Parquet file storage at impressive scale. Attendees will learn how InfluxDB enables LeoLabs to turn raw radar data into actionable intelligence while reducing costs and simplifying infrastructure.

In this webinar, you’ll learn:

  • How LeoLabs collects and manages telemetry from thousands of radar devices worldwide.
  • Best practices for deploying Telegraf configurations at scale.
  • Ways to leverage InfluxDB 3 for cost-efficient storage, querying, and retention.
  • Tips for turning high-volume radar and log data into operational intelligence with Kubernetes, Grafana, and custom applications.
featured speaker

Jackson Ball

Radar Software Engineer, LeoLabs

Jackson Ball is a Radar Software Engineer at LeoLabs, where he develops and automates infrastructure powering the company’s global network of space radars. With over a decade of experience in Linux systems, Python automation, and radar operations, Jackson bridges the gap between mission-critical hardware and cloud-scale telemetry systems.

Before joining LeoLabs’ software team, he led radar operations across multiple LeoLabs sites, building automation pipelines with Ansible, Telegraf, and InfluxDB to manage thousands of sensors and servers worldwide. His background in space domain awareness spans work on both LeoLabs’ LEO radar network and prior roles maintaining US and Australian Defence Space Surveillance systems, including the C-Band Space Surveillance Radar and Space Surveillance Telescope.

Jackson’s work focuses on delivering high-reliability data pipelines, real-time monitoring, and scalable telemetry architectures that transform raw radar data into actionable intelligence — keeping satellites safe and space sustainable.

featured speaker

Matt Adelman

Senior Manager of Radar Systems, LeoLabs

Matt Adelman is the manager of the Radar Systems team at LeoLabs. The team is responsible for all the software, firmware, monitoring, and IT infrastructure for all of LeoLabs’ radar sites around the world. Matt has a background in software development, and before joining LeoLabs he worked in mobile advertising and consulting.
featured speaker

Ian Clark

Senior Sales Engineer, InfluxData

Ian Clark is a Sales Engineer at InfluxData, where he works with clients ranging from seed-round startups to the Fortune 500. Prior to InfluxData, he was a Technical Solutions Consultant at Google. He holds a Master’s degree in statistics from Columbia University, bringing deep expertise in data architecture and statistical analysis to help enterprise customers design scalable time series solutions for industrial IoT and manufacturing applications.

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