InfluxData

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

[InfluxData @InfluxDB]

Q2 was all about reducing operational overhead so teams can spend less time managing infrastructure and more time building.

Telegraf Enterprise is GA, #InfluxDB 3.9 and 3.10 strengthen day-to-day operations and extend enterprise capabilities, and Explorer 1.9 adds beta AI-assisted Flux-to-SQL conversion plus first-class InfluxQL support.

Our Q2 recap covers it all, including FAQs. Read it here: https://t.co/fpLsF5HdC8

[InfluxData @InfluxDB]

Sunday read: Did you know we’re in the Fourth Industrial Revolution?

Industry 4.0 is already here—AI, IoT, and cyber-physical systems transforming how industrial systems operate.

What’s driving it, and what are the benefits and challenges?

Read the post for a quick breakdown 👇 #influxdb
https://t.co/lgWHagtSa0

[InfluxData @InfluxDB]

Traditional NMS platforms are lagging behind modern network complexity, and pricing changes are making them even more expensive.

Read how one enterprise team replaced their costly SolarWinds setup with #InfluxDB and closed their monitoring gaps immediately. ⚡ https://t.co/Vu8BkK1x6K

[InfluxData @InfluxDB]

Flight data that flies fast. ✈️

See how Microsoft Flight Simulator 2024 streams 90+ telemetry points into #InfluxDB 3 Enterprise with sub-10 ms response time.

Real-time monitoring meets serious data engineering. 😎 https://t.co/IWXXTLL6TF

[InfluxData @InfluxDB]

Smart homes generate a constant stream of events, but most setups stop at automation.

What happens when you start treating that data as something you can analyze, query, and learn from over time?

With webhooks, the open source platform Home Assistant can ingest real-time events from external services. Pair that with #InfluxDB, and you can store, explore, and even forecast how your system behaves.

Learn how to build it yourself: https://t.co/1qwFihHvIK

[InfluxData @InfluxDB]

#InfluxDB offers multiple data ingestion methods, each with distinct advantages for different use cases.

Learn which approach fits your architecture and workload requirements.

https://t.co/ermJ09joMd

[InfluxData @InfluxDB]

🏎️ What happens when you combine @F1 telemetry, AI agents, and a modern time series database?

Join InfluxData for a very special session with an Arizona State University student to learn how he built an agentic Formula 1 strategy engine with #InfluxDB 3.
📅 July 28 | 8 AM PT | 3 PM GMT | 4 PM BST

Register: https://t.co/hOSGD8TQpu

[InfluxData @InfluxDB]

Your historian renewal notice just landed in your inbox.

Before you renew, ask whether your current architecture can support increasing data volumes, AI initiatives, cloud adoption, and real-time operations.

For many teams, modernization starts by augmenting existing historian infrastructure vs. replacing it.

Read the 6 signs it's time to rethink your approach: https://t.co/AmWRGJql9V #influxdb

[InfluxData @InfluxDB]

#InfluxDB 3 uses the FDAP stack to decouple storage from compute.

You get high-speed ingestion and instant queries on fresh data, combined with low-cost object storage. Efficient, scalable, and built on open standards.

https://t.co/ripYinmKnU via @BigDATAwireNews

[InfluxData @InfluxDB]

We're honored to be named one of the Coolest Database System Companies in the @CRN 2026 Big Data 100. 🎉

As AI increases demand for real-time, operational data, we're proud to help organizations unlock the value of time series data at scale with #InfluxDB
https://t.co/Xp0pKWApiw

[InfluxData @InfluxDB]

We're honored to be named one of the Coolest Database System Companies in the @CRN 2026 Big Data 100. 🎉

As AI increases demand for real-time, operational data, we're proud to help organizations unlock the value of time series data at scale with #InfluxDB
https://t.co/Xp0pKWApiw

[InfluxData @InfluxDB]

What does MRO actually mean in industrial systems, and why does it matter for your data architecture?

We break it down here: https://t.co/1BW6zQXCC1 #influxdb

[InfluxData @InfluxDB]

#InfluxDB 3 docs now include markdown export and direct AI prompts!

📄 Copy any page straight into your LLM workflow or launch a Claude/GPT session from the docs and get answers without context switching.

[InfluxData @InfluxDB]

#InfluxDB 3 is the result of a 4+ year rebuild to meet the demands of modern time series workloads.

It’s built to handle every kind of time series, observational, and historical data, delivering the scale, performance, and flexibility developers need today and for what’s next.

Founder & CTO @pauldix shares the vision in @InfoQ https://t.co/uKwtzDf7fX

[InfluxData @InfluxDB]

How much can the past really tell you about the future? :crystal_ball:

Autoregression is one of the core ideas behind time series forecasting, using historical patterns to predict what comes next. It’s simple in concept, but powerful in practice.

Find out how it actually works in Python, and how #InfluxDB fits into that workflow. https://t.co/FeUApKgvCC

[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

[InfluxData @InfluxDB]

Did you know we’re in the Fourth Industrial Revolution?

Industry 4.0 is already here—AI, IoT, and cyber-physical systems transforming how industrial systems operate.

What’s driving it, and what are the benefits and challenges?

Read the post for a quick breakdown 👇 #influxdb
https://t.co/lgWHagtSa0

[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 1.39 is here.

New features like OPC UA node discovery and gNMI dial-out input make telemetry collection easier, while enhancements for OpenTelemetry, Kafka, Oracle SQL, MongoDB, and more expand what's possible.

Explore what's new: https://t.co/T1mg9b7wHQ

[InfluxData @InfluxDB]

@OlympusControls uses #InfluxDB to power predictive maintenance across robotic arms and manufacturing operations, collecting sensor data via MQTT and Telit. 🦾

Watch the on-demand webinar to see their approach: https://t.co/uBt6FuYuXQ