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influxdata

Telegraf Controller 1.1: Make Fleet-Wide Config Changes with a Single Edit

Aug 25, 2026 By Scott Anderson In InfluxData
Summary Telegraf Controller 1.1 lets teams make fleet-wide configuration changes with a single edit using Global Constants, Configuration Groups, and Configuration Aliases. Configuration Versioning makes every change traceable, comparable, and reversible. High availability, available in Telegraf Enterprise, automatically fails over between Controller instances so agents can continue pulling configurations and reporting health if an instance goes down. Table of Contents.
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influxdata

A Guide to Downsampling Time Series Data with InfluxDB 3

Aug 19, 2026 By Charles Mahler In InfluxData
Summary Downsampling turns high-frequency time series data into lower-resolution summaries. In InfluxDB 3, you can calculate those summaries by querying with SQL or materialize them on a schedule with the Python Processing Engine. Table of Contents 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.
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influxdata

A Rust Client for InfluxDB 3

Aug 13, 2026 By Ian Clark In InfluxData
Summary A new async Rust client for InfluxDB. Built for the edge gateways, embedded systems, and high-throughput ingest pipelines where Rust already runs. Table of Contents 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 batch.
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influxdata

Where Historians Fall Short for Physical AI

Aug 4, 2026 By Ryan Nelson In InfluxData
Summary Physical AI—machines and industrial systems that sense conditions, reason, and act in the real world—needs two things from operational data: detailed history for training, and real-time telemetry for inference. Traditional data historians weren’t built for either at the speed Physical AI requires. Four gaps result: limited real-time access, compression that strips model-relevant signal, IT/OT fragmentation, and site-by-site architectures.
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influxdata

What's New in InfluxDB 3.11: A Significant Performance Upgrade for Complex Time Series Workloads

Jul 30, 2026 By Peter Barnett In InfluxData
Summary InfluxDB 3.11 delivers major performance and data management updates for growing time series workloads, with significantly faster queries on recent data, expanded support for wide and ultra-sparse schemas, and a more predictable resource profile under load. InfluxDB 3 Enterprise also adds backup and restore, bulk Parquet import, row-level deletes, and a built-in Explorer UI.
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influxdata

AI-Powered Spacecraft Operations with InfluxDB 3

Jul 29, 2026 By Charles Mahler In InfluxData
Summary The InfluxDB satellite telemetry demo is a live mission-control application that monitors a simulated fleet of 12 satellites in real-time. It shows how the InfluxDB 3 Processing Engine can detect anomalies as data is written, enrich time series data with third-party data, and power a grounded AI agent using the InfluxDB 3 MCP server to investigate and explain fleet health.
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Real-Time Satellite Monitoring with InfluxDB 3 & Claude

Jul 27, 2026 By InfluxData In InfluxData
See how InfluxData built an AI-powered satellite fleet dashboard using InfluxDB 3 Enterprise. Head of Product Marketing Ryan Nelson demonstrates how the system handles high-cardinality telemetry and burst ingestion, detects anomalies in real time, and connects live operational data to Claude through the InfluxDB 3 MCP server. The result is faster fleet-wide analysis, reliable telemetry ingestion, and an integrated workflow for anomaly detection, investigation, and response.
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influxdata

What's New in InfluxDB 3: 5 New Processing Engine Plugins

Jul 23, 2026 By Charles Mahler In InfluxData
Summary The five most recent plugins from the InfluxDB team are live: Sagemaker, value counter, Chronos forecasting, simple data replicator, and a stock portfolio tracker. Table of Contents The InfluxDB team has released five new Processing Engine plugins. They range from making it easy to call a hosted ML model to pulling in stock market data in real-time. Every one of them can be activated with a few terminal commands.
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influxdata

Inside LeoLabs: How Radar Engineers Track Over 27,000 Objects in Orbit with InfluxDB

Jul 21, 2026 By Cole Bowden In InfluxData
Summary InfluxDB plays a critical role in LeoLabs’ infrastructure, enabling a lean team to operate with confidence that potential issues will be detected and surfaced in real-time. By offloading the complexity of managing time series data at scale, engineers are free to focus on higher-impact work (such as optimizing their radar network) rather than maintaining and troubleshooting database systems.
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Getting Started with Telegraf Controller

Jul 15, 2026 By InfluxData In InfluxData
Telegraf Controller is a centralized application designed for managing Telegraf deployments at scale by defining configurations in one location and consistently applying them across a fleet of agents. In this video, Product Manager Scott Anderson walks you through the steps of setting up and managing agents using the controller, covering.
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