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 u 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

The #InfluxDB 3 Enterprise + @Litmus_io edge integration replaces legacy historians with real-time visibility + scalable historical analysis in a single unified architecture.

Watch the interview 👇
youtube.com/watch?v=yKY8hq…

Get real-time data without any lag.

The Last Value Cache in #InfluxDB 3 delivers latest-value queries in under 10ms. Ideal for monitoring workloads and dashboards. ⬇️ bit.ly/40VzBb0

AI has transcended the digital world and entered a new class: Physical AI powers autonomous vehicles, robotics, industrial automation, and many other mission-critical environments, and is reliant on precise, high-frequency streams of time series data.

#InfluxDB CEO @evankaplan speaks to Thomas Erl on the Real Digital Transformation podcast about this new level of data processing, and how enterprise architects can best prepare for a reimagination of their organization’s database layer. youtube.com/watch?v=aagbZY…

Learn how to build a forecasting pipeline with #InfluxDB 3 Core + Prophet to analyze and visualize Wikipedia traffic.

Open source + no code = powerful results: bit.ly/45uYU7K via @thenewstack

Looking for a good Sunday read?

If you’re working with industrial data, this one is worth your time.

The blog breaks down how the @Litmus_io Edge + #InfluxDB 3 Enterprise integration works, and what it enables for teams building connected, data-driven operations.

Settle in and co/Az7chE0l8e

Who monitors the monitoring system?

At @NetApp: another #InfluxDB instance.

A separate open source instance monitors the production cluster, so SREs maintain visibility when they need it most.

Think that's cool? Check out how NetApp built its telemetry foundation 👇

We rewrote our core APIs in Rust and migrated from microservices to a monolith.

Why? 🤔

Simpler deployments, safer code, and better team velocity.

Get the full breakdown of our approach, architecture, and lessons learned. 👉 bit.ly/4escriS #InfluxDB

InfluxData CEO @evankaplan joined the @CloudcastPod to discuss physical AI and real-time data.

Building autonomous systems requires deterministic outcomes—probabilistic won't cut it when the stakes are high.

🎧 Tune in to hear his insights: bit.ly/3KBdhPT #InfluxDB

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

Eight challenges come up again and again in data center telemetry, and clock drift is the sneakiest.

SNMP values are usually time-stamped when they reach the collector, which can be a while after the measurement, so lining up a coolant excursion with a GPU throttling event becomes guesswork.

Our guide covers all eight, plus how to bring power, cooling, GPUs, network, and Slurm jobs onto one clock and into one store with Telegraf and #InfluxDB 3.

Read it here: bit.ly/4srGmia

In BESS environments, uptime depends on what you can see and how fast you can act.

From anomaly detection to predictive maintenance, real-time data is critical.

Learn what it takes to keep systems running with #influxdb 🔋
bit.ly/4vlppXF

The new @Litmus_io Edge + #InfluxDB 3 Enterprise integration helps manufacturers get contextualized industrial telemetry from edge to production systems faster, with better visibility and lower cost.

Watch how InfluxData and Litmus are helping industrial teams modernize operations at scale.

What’s the business value of time series databases? 🤔

For teams building AI-driven and real-time operational systems, it comes down to one thing: turning high-volume telemetry into actionable insight fast enough to matter.

This blog explores why time series data is becoming foundational for predictive maintenance, anomaly detection, and intelligent systems. bit.ly/44kSXJH #influxdb

Can you detect a network outage before customers notice?

That’s the goal at @WOW_WAY where #InfluxDB powers real-time monitoring + alerting across hundreds of thousands of devices, helping teams spot service degradation and troubleshoot faster.

Read the story: bit.ly/4iU32Vb

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/4rAqQP1

InfluxData CEO @evankaplan joined the @CloudcastPod to discuss physical AI and real-time data.

Building autonomous systems requires deterministic outcomes—probabilistic won't cut it when the stakes are high.

🎧 Tune in to hear his insights: bit.ly/3KBdhPT #InfluxDB

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

Alert fatigue can mask real issues. 😩

#InfluxDB 3's Processing Engine uses in-memory cache for alert deduplication. Track threshold violations, implement cooldown periods, prevent notification storms without external systems. ⬇️ bit.ly/4j5fxdR

How did industrial AI spark the partnership between InfluxData and @Litmus_io? 🤝

🎥 Watch the video to find out why this was the ideal moment for the Litmus Edge + #InfluxDB 3 Enterprise integration, and how it’s helping drive faster insights and real impact across industrial IoT.

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