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Products

Self-Managed InfluxDB

InfluxDB 3 Enterprise
InfluxDB 3 Core (OSS)

Fully Managed InfluxDB

InfluxDB Cloud Serverless
InfluxDB Cloud Dedicated
Amazon Timestream for InfluxDB

Telegraf

Telegraf Enterprise NEW
Telegraf (OSS)

Resources

Platform Overview
Client Libraries
Explore All Integrations
Telegraf configurations

New Release

Managing Telegraf at scale just got easier

Telegraf Enterprise is now generally available

Learn More
Use Cases

Use Cases

Network & Infrastructure Monitoring
IoT Analytics & Predictive Maintenance
Machine Learning & AI
Satellite Telemetry Monitoring
Battery Energy Storage Systems
Modern Data Historian

Industries

Manufacturing & IIoT
Aerospace
Energy & Utilities
Financial Services
Telecommunications

LeoLabs secures Low Earth Orbit with InfluxDB to track 25,000+ objects. See how

Seadrill saved $55M in asset lifecycle costs by shifting to condition-based maintenance with InfluxDB. See how

Eutelsat OneWeb enabled real-time telemetry across 600+ LEO satellites with 1M points ingested per second. See how

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Build

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Downloads Hub
Developers Tools
Plugin Directory
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Learn

Blog
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Get the latest InfluxDB 3 updates

See what’s shipped
Pricing
Start Now
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Log in to InfluxDB Cloud 1.x arrow
Contact Us

Industrial IoT for Manufacturing

Session Date: Mar 19, 2026
Time: 8:00am (PT) | 3:00pm (GMT) | 3:00pm (BST)

In this technical demo, discover through real-life use cases how manufacturing companies use InfluxDB in their production-ready environments to support predictive maintenance of critical equipment, optimize production processes, and improve operational efficiency.

Key takeaways:

  • Provide real-time monitoring of industrial equipment and production lines at scale.
  • Improve operational efficiency and enable proactive maintenance of manufacturing assets.
  • Deploy intelligent edge solutions for real-time data processing and analysis on the factory floor.
  • Lower storage costs and total cost of ownership (TCO) for time series data from sensors, machines, and other IoT devices.
  • Connect with machine learning and data science tools to build advanced analytics for quality control, anomaly detection, and process optimization.
featured speaker

Ben Corbett

Solutions Engineer, InfluxData

Ben Corbett is a Solutions Engineer at InfluxData. He has been working in the real-time solutions space since graduating with a 1st class Masters from the University of Bath in Mechanical Engineering, putting his love for connecting the digital and physical worlds into practice through developing many IoT platforms and real-time applications across the Energy, Manufacturing, Agriculture, Construction, Smart Building, and Electric Vehicle sectors. Since joining InfluxData, Ben has worked with our EMEA and APAC customers to understand and demonstrate the value of InfluxDB as applied to their specific use case or time series challenges.

Session Registration

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