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Knowing which agents to update shouldn’t take a manual audit.
In Telegraf Controller 1.2, Telegraf Enterprise checks published Telegraf security advisories against the version each agent reports and flags the ones that are affected. Every Controller user also gets agent-level metrics and logs, so you can read the error behind a data gap without shell access to the host.
Getting started takes a single docker run. PM @scott_dsgn has the command and everything else in 1.2: bit.ly/4sshpDq
"Partnering with InfluxData was the right decision."
That's how the CTO of @Teregacontact describes its modernization journey with #InfluxDB.
The results:
📉 50% lower TCO
⚡ 12× more frequent data collection
📊 100,000+ metrics across pipelines, sensors, and operations
Watch why Teréga chose InfluxData and what they achieved. 🎥
Skip the hassle of building a data pipeline just to test an idea.
With the new Bird Tracking Simulator and Signal Generator plugins, #InfluxDB 3 can generate realistic sample data directly inside the database. bit.ly/4eiwEcH
Time series isn’t just about the past. It’s your window into what’s happening 𝙧𝙞𝙜𝙝𝙩 𝙣𝙤𝙬.
Discover how a modern time series database turns metrics into real-time decisions that matter: bit.ly/44kSXJH #InfluxDB
More sensors. More telemetry. Higher cost?
With pay-per-tag pricing, that can be the reality for manufacturers relying on legacy data historians.
In @ManufactureDive, we break down three ways legacy historians can limit modern manufacturing, and why architectures designed for high-volume time series data offer a different path to scale. #InfluxDB
Read the full story: manufacturingdive.com/spons/…
We're excited to be recognized among the Top 100 Companies That Matter Most in Data, helping organizations build reliable, real-time data foundations for AI and operational intelligence. #influxdb
Thanks @dbtrends: bit.ly/43eBfpW
Have 4 minutes to get smarter about time series data?
InfluxData founder @pauldix breaks down what makes time series data different and why it requires a different approach to storing and querying data.
Your Sunday scroll can spare 3:44. #InfluxDB 👇
youtu.be/wBWTj-1XiRU?si=OjfQ…
🚀 Q3 was packed with updates across InfluxDB, Telegraf, and Amazon Timestream for #InfluxDB, including:
➡️ InfluxDB 3.11: Performance improvements for complex workloads hit GA in Enterprise
➡️ InfluxDB 3.12: ~3x faster bulk imports, beta distributed compaction, schema enforcement & GA RBAC
➡️ Amazon Timestream: AWS IoT Core ingestion, custom Python plugins & 8 new regions
➡️ Telegraf Controller 1.1: High availability & one-edit fleet-wide changes
➡️ Telegraf 1.40: New community-contributed plugins
More scale. More speed. Less friction. 📈
Read the full recap: bit.ly/4AZO730
An AI data center triages a failure in seconds. An automotive plant runs predictive maintenance on real-time data.
Both are live demos on Nov 3, 8am PT, with Ryan Nelson and Ian Clark.
bit.ly/4zZmjdD #InfluxDB
🔎 Filter time series by date ranges, resample frequencies, and handle timezones with pandas DatetimeIndex.
This tutorial covers index creation, component extraction, and #InfluxDB integration with practical code examples. 🔽 bit.ly/4fTXOaA
What happens when manufacturers can analyze PLC data every 50 milliseconds?
✔️ 35–45% reduction in downtime
✔️ 7–10% reduction in material waste
Discover how @MAJiKsystems uses #InfluxDB to turn factory telemetry into operational intelligence: bit.ly/4503bPf
Physical AI is powering LEO satellites and Mars missions, but it needs high-fidelity time series data to work.
Thousands of sensor readings per second feed models that make deterministic decisions, not probabilistic guesses.
The leaders in space are building on purpose-built time series infrastructure to power real-time monitoring, autonomy, and predictive anomaly detection.
Turning telemetry into intelligence is what will set the next generation of space systems apart: bit.ly/3L1qnFR by #InfluxDB CEO @evankaplan via @SpaceNews_Inc
Telegraf 🤝 @Databricks
The new Zerobus output in Telegraf 1.40 streams metrics into Delta tables. Thanks to zlata-stefanovic-db and hdecarne for the new plugins, and to every open source contributor behind this release. #InfluxDB
Read the blog for everything new in 1.40: bit.ly/4hdBycn
Run native #Python alongside your time series data to transform, analyze, and act on it the moment it lands. That's the Processing Engine in #InfluxDB 3. Watch @PeteWithProduct unpack how it works and what you can build with plugins.
InfluxData is a 2026 @BuiltIn Best Place to Work, including Best Midsize Place to Work in San Francisco and Best Remote Place to Work.
Want to build with us? View open roles ➡️ bit.ly/3vDTW91 #InfluxDB
Scaling shouldn’t mean starting over.
We introduced a seamless path from #InfluxDB 3 Core → Enterprise on Amazon Timestream for InfluxDB. No downtime, no rearchitecture.
From single node to production-scale clusters, without friction.
Details: bit.ly/4edFx7y
The reading that explains the failure is often the one that got downsampled.
Join us for three live InfluxDB 3 Enterprise demos across satellites, AI data centers, and an automotive plant.
🗓 Nov 3, 2026, 8AM PT | 4PM GMT
bit.ly/4zZmjdD #InfluxDB
🛰️✨ Every second counts when you're operating satellites or other mission-critical systems.
When telemetry starts drifting toward a fault, you need more than data. You need context.
Explore how an AI-powered spacecraft operations demo built with #InfluxDB 3 uses live telemetry, event processing, and grounded AI to help operators investigate anomalies faster. 🌎🤖 bit.ly/45Jr1ip
Building on @ApacheDataFusio? Join the community in SF for lightning talks on real-world use cases (and snacks), co-hosted by DataFusion PMC Chair @andrewlamb1111
🗓 Thu, Nov 12, 5:30–8:30 PM bit.ly/3VMvWgV #InfluxDB
The Downsampling Plugin in #InfluxDB 3 automatically reduces data resolution over time. Keep minute-by-minute data recent, and aggregate to hourly for history.
One-click install. Zero code. ↴
Let’s be honest: getting the size of your deployment right is what makes or breaks real-world performance and cost.
This blog on Amazon Timestream for #InfluxDB 3 shows you how to match your workload to the right deployment strategy, so you’re not overpaying or underpowered.
If you're planning a deployment or optimizing an existing one, this guide is worth a look. 👇 go.aws/4uFkfF5










