InfluxData Blog
The place for technical guides, customer observability & IoT use cases, product info, and news on leading time series platform InfluxDB, Telegraf, SQL, & more.
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Latest posts
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Telegraf Enterprise & Controller 1.2: Know Your Fleet's Security Exposure, Versions, and Health
Telegraf Controller 1.2 is now available. It adds security advisory scanning (Telegraf Enterprise), agent-level heartbeat metrics and logs, fleet summary visualizations, and an official Telegraf Controller Docker image. Telegraf Controller is a centralized control plane for…
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Data Center Telemetry in the AI Era
A decade ago, a typical enterprise rack drew five to ten kilowatts and was cooled by air. Today, reference designs for liquid-cooled AI racks run up to 132 kW per rack, and a large training cluster can swing a facility’s power draw by megawatts in a few seconds. More than half…
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Root Cause Analysis Workflows Using InfluxDB
It’s 2:00 AM, and your monitoring system fires a critical alert. Latency is spiking, and overseas users are registering internal server error complaints. How quickly can you find the root problem? Your logs and relational databases hold plenty of data about what’s happening. But…
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Q3 2026 Recap: Up to 4x Faster Single-Series Queries, Distributed Compaction, and Telegraf Controller High Availability
InfluxDB 3.11 brings performance for heavier, more complex workloads to GA When a system acts on a device’s latest reading or an asset’s current state, query speed decides how fast it can respond, and that gets harder as devices multiply and schemas widen. InfluxDB 3.11,…
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Why Automotive Manufacturers Are Augmenting Data Historians, Not Replacing Them
A 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…
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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.…
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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 (…
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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…
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Getting Started with InfluxDB 3 and Grafana Tutorial
InfluxDB and Grafana are the most common pairing in time series monitoring, and division of labor between them is simple. InfluxDB stores and queries the data: high-volume, time-stamped readings from sensors, servers, meters, vehicles, and anything else that emits time series.…
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Democratizing Breach Detection: How SMBs Can Build Their Own Time Series Security Monitor
When people hear that the average breach lifecycle still spans hundreds of days , they often blame inefficiency or apathy. The reality is that most teams, especially those in SMBs, are flying blind and relying on logs scattered across dozens of SaaS platforms. The information…
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Telegraf Controller 1.1: Make Fleet-Wide Config Changes with a Single Edit
Telegraf is easy to stand up. You just need a config file with a few plugins and data flows. That ease is why Telegraf fleets grow fast, and why managing the agents that collect data becomes more difficult than collecting it. A change that takes minutes on ten agents takes days…
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A Guide to Downsampling Time Series Data with InfluxDB 3
This tutorial demonstrates both approaches using the InfluxDB 3 Processing Engine’s built-in bird tracking simulator plugin. You will generate telemetry, aggregate it into 10-second windows, and validate the result with SQL. The same pattern works for infrastructure metrics,…
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A Rust Client for InfluxDB 3
Time series data shows up wherever the physical world meets software. A satellite constellation streams altitude, power, and thermal telemetry from every spacecraft on every pass. A factory floor running on Industry 4.0 principles instruments every line, every motor, every…