Why Automotive Manufacturers Are Augmenting Data Historians, Not Replacing Them
From the source: InfluxData BlogA modern vehicle assembly line generates more time-stamped telemetry before lunch than most data historians were built to hold: weld temperatures, torque readings, and vibration traces from every robot, torque tool, vision system, and test stand, and on most historians, each signal carries its own line-item cost because the systems are still priced per tag. That model was fine when data was…
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What’s New in InfluxDB 3.12: Distributed Compaction, 3x Faster Imports, and More Control
Time series deployments rarely grow the way they were planned. A single-node pilot becomes a multi-node fleet, an afternoon’s worth of test data becomes weeks of backfill that has to land before anyone can query it, and three teams end up writing to a database built for one. InfluxDB 3.11 delivered a higher-performance foundation for complex time series workloads, with significant performance…
Telegraf 1.40 Release Notes
You can find the binaries for the latest Telegraf release on our Downloads page . Many thanks to all the open source community members who contributed to this effort! New plugins These are the newest plugins, first available in this version: Databricks Zerobus output ( outputs.zerobus ) Streams metrics to a Unity Catalog Delta table using the Databricks Zerobus Ingest service over gRPC to…
Building a Practical Time Series Data Layer for Automotive Manufacturing
Automotive manufacturing generates data at several operating cadences. Sensors and controllers emit measurements continuously. Equipment and line states change as events. Production and quality systems add context at the part, batch, shift, and plant level. Together, these records describe how a manufacturing process behaves over time. That data can support plant visibility, investigations, scrap…
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Updated MariaDB C++ and ODBC Connectors now available
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