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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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From Plant Floor to AI-Ready: Automotive OEE, Sensors & Data Pipelines

Session Date: Sep 02, 2026
Time: 8:00am (PT) | 3:00pm (GMT) | 4:00pm (BST)

Automotive plants generate a flood of telemetry (PLCs, torque tools, robots, test stands), but most of it never leaves the historian where it was collected. Per-tag pricing punishes every new sensor, and process data stays locked in plant-level silos, which means OEE dashboards run a day behind and quality investigations drag while engineers chase data across systems that don’t talk to each other.

In this session, we will show a live data pipeline: connecting PLC and sensor sources with Telegraf, writing that data into InfluxDB, querying it with SQL, and visualizing OEE trends in Grafana as the data lands, without disrupting the historian already running the plant floor.

What we will cover:

  • Collect and centralize telemetry from PLCs and sensors into a single pipeline
  • Build real-time OEE visibility at the line, station, and shift level
  • Extend the same data foundation toward predictive maintenance and digital twin use cases
  • Decide where historian augmentation makes sense versus full replacement
featured speaker

Mike Devy

Solutions Architect, InfluxData

Mike Devy is a Solution Architect at InfluxData. He worked at Qualys as a production operations engineer, supporting data center server infrastructure and large enterprise customer deployments. Mike has over 15 years of systems administration experience.

Session Registration

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