InfluxData

InfluxDB is the leading time series platform.
It’s About Time. ⏱️

[InfluxData @InfluxDB]

Time series deployments rarely grow as planned. We built InfluxDB 3.11 for that complexity. Now, 3.12 gives enterprise deployments more room to scale:
✓ Bulk Parquet import 3x faster
✓ Distributed compaction (beta)
✓ Per-database schema enforcement
✓ RBAC, now GA

https://t.co/iTvMKS5rHQ #influxdb

[InfluxData @InfluxDB]

Real-time analytics or historical analysis? With the right architecture, you don't have to choose.

A new @AWSCloud blog demonstrates a dual-path IoT architecture that combines streaming and batch processing, with Amazon Timestream for #InfluxDB 3 powering low-latency time series analytics.

Read more. https://t.co/rM688pToZ8

[InfluxData @InfluxDB]

Telegraf collects, processes, and routes data from sensors, APIs, and systems with a plugin-based architecture.

Deploy it anywhere—IoT devices, edge gateways, VMs—and build custom pipelines that transform raw data into actionable insights for #InfluxDB.

[InfluxData @InfluxDB]

What happens when you can see manufacturing problems as they develop, not weeks after the fact?

@TXInstruments uses #InfluxDB to analyze 1.5M daily sensor data points across 1,000 types of machines, with real-time visibility into utilization, downtime, and repair.

From factory-wide trends to individual machines.

Read the story: https://t.co/ifcNqvAZo9

[InfluxData @InfluxDB]

On this episode of the @raisersedgepod, @elowitz talks with InfluxData CEO @evankaplan.

He shares practical strategies for seeing funding rounds from a VC's perspective, navigating make-or-break moments with humility, and more.

Watch here: https://t.co/h32Q2HOXj2 #influxdb

[InfluxData @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: https://t.co/IRZrfODgtZ

[InfluxData @InfluxDB]

InfluxData's Sales team is hiring!

➡️ Commercial Account Executive, Remote (Canada): run new business across North America and grow a book of about 40 existing accounts.
➡️ Commercial Account Manager, Remote (UK): own renewals and expansion across 30-40 accounts.

Apply today: https://t.co/19NBtbFroM #influxdb

[InfluxData @InfluxDB]

InfluxQL queries run natively in #InfluxDB 3 Explorer 1.9, from schema exploration to visualizing the results.

Live demo Oct 29, 8AM PT | 3PM GMT

Sign up now: https://t.co/Sj8NNb1Jc3

[InfluxData @InfluxDB]

#InfluxDB lets you enforce schemas at the bucket level when you need structured time series data.

Learn how explicit schemas work and when to use them for your data model. :dart: https://t.co/c49mLUvxLP

[InfluxData @InfluxDB]

NEW: Introducing the Plugin Library for the #InfluxDB 3 Processing Engine

Time series data shouldn’t just be stored. It should trigger action.

The new Plugin Library lets you extend InfluxDB 3’s Processing Engine with custom Python plugins for anomaly detection, forecasting, downsampling, alerting, and more—running directly inside the database where your data lives.

⚡️ Install plugins in minutes
⚡️ Trigger on writes, schedules, or HTTP events
⚡️ Run Python logic directly inside InfluxDB

Now your time series data can detect, decide, and act in real-time.

Explore the plugins: https://t.co/YdLdlq7Z9e

[InfluxData @InfluxDB]

Managing smart devices across multiple platforms gets messy fast.

Home Assistant integrations let you control everything from a single interface, and pairing it with #InfluxDB gives you the data backbone to turn reactive automation into proactive control.

Here are 9 integrations you should be using in 2026. → https://t.co/V6BKiP3wYc

[InfluxData @InfluxDB]

200 million series. 20,000+ points written per second. Sub-second telemetry.

That's how @Vonage monitors a global contact center platform running at 99.999% availability across 100+ countries.
#InfluxDB and Telegraf replaced 1-to-5-minute monitoring intervals with real-time visibility.

Explore how 👇
https://t.co/AQqfG22Gis

[InfluxData @InfluxDB]

The #InfluxDB 3 downsampling plugin automates time series rollups, turning millions of high-frequency data points into structured summaries that keep queries fast and storage costs predictable as systems scale.
📈 https://t.co/otCvhWxBHZ

[InfluxData @InfluxDB]

AI doesn’t fail in real-world systems because models are weak. It fails when systems can’t see clearly enough to act in time.

For teams running live infrastructure, whether it’s devices, networks, or distributed systems, resolution matters. High-resolution time series data is

[InfluxData @InfluxDB]

Sample data never pages anyone at 3am.

Our live demos run #InfluxDB on realistic, simulated workloads, so you can watch it handle data that behaves like the telemetry you actually work with. Two are up now:

🛰️ Satellite telemetry for spacecraft operations
🖥️ Data center monitoring for infrastructure teams

Pick the one closest to what you’re building: https://t.co/36BBwm4bv9

[InfluxData @InfluxDB]

We’re hiring a Developer Advocate: demos, talks, workshops, and being the developers’ voice inside InfluxData.

Remote in the US or Canada. #InfluxDB

➡️ https://t.co/syGDNINt02

[InfluxData @InfluxDB]

Stop overpaying for idle cloud resources or scrambling when traffic spikes!

#InfluxDB scales storage and compute automatically with your workload. You only pay for what you actually use, and your team stays focused on building instead of provisioning.

[InfluxData @InfluxDB]

The v3 JavaScript client gives you programmatic access to write and query data in #InfluxDB 3.

Get started quickly and build exactly what you need! 🔧 https://t.co/bljXhId2w9

[InfluxData @InfluxDB]

One config change shouldn’t mean updating hundreds of Telegraf agents individually.

Telegraf Controller 1.1 adds new ways to manage configuration fleet-wide: versioning, global constants, aliases + config groups.

Plus HA for Enterprise.

Learn more: https://t.co/axkay5O5KK #InfluxDB

[InfluxData @InfluxDB]

How do you fix a satellite 40,000 km away? You don't. You predict the failure first.

@Thales_Alenia_S
is leveraging continuous time series telemetry and ML models to power true predictive maintenance. They keep critical satellites operational where physical repairs are simply impossible.

https://t.co/GQeeOrqfA6 #InfluxDB

[InfluxData @InfluxDB]

AI requires formidable data infrastructure, especially at enterprise scale. Are we ready?

#InfluxDB developer advocate @influxcole speaks to @joemckendrick for @dbtrends about the need for a clean and well-defined data model to serve as documentation for AI.

Read the article to find out how the experts are approaching this paradigm shift. https://t.co/kRvWItIV7b