InfluxData

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

[InfluxData @InfluxDB]

Industrial AI doesn’t break because of models. It breaks when systems can’t see clearly enough or fast enough to act.

Today at @hannover_messe, we’re partnering with @Litmus_io to address one of the most persistent challenges in industrial data: getting reliable, contextualized telemetry from the shop floor into production systems.

Litmus Edge + InfluxDB 3 Enterprise delivers a unified architecture that captures every signal at full resolution, applies context across assets and systems, and makes it immediately usable in real time.

No tradeoffs between data fidelity, scale, and cost.

See it live at the Litmus booth: Hall 16, Stand A09
Read the announcement: https://t.co/Az7chE0l8e

[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/rjhY7eh8co

[InfluxData @InfluxDB]

From e-commerce platforms to 26,000+ attendees at Cisco Live, @Cisco runs real-time monitoring at serious scale with #InfluxDB.

2,200 access points. 84TB of data. 9 days.

Plus environmental tracking to reduce noise and pollution.
See how they do it 👇 https://t.co/XrDVJxtYaY

[InfluxData @InfluxDB]

Upgrading from #InfluxDB 3 Core to Enterprise is seamless: same object store, no data move required.

Gain high availability and enhanced security, all in a setup built for production! 👏 https://t.co/1wwP7Znw0f

[InfluxData @InfluxDB]

Want to see 250+ industrial protocols feeding real-time analytics without custom pipelines?

Join InfluxData and @Litmus_io for a live demo of a production-ready edge-to-cloud architecture built for modern industrial operations. #influxdb
📅 June 17 @ 11 AM PT | 2 PM ET

Register now. https://t.co/qIsdV7L7lX

[InfluxData @InfluxDB]

When a 3rd-party breach exposed gaps in SaaS visibility, our security team built an in-house monitoring platform powered by time series telemetry.

Now we catch anomalies across their supply chain in real-time: https://t.co/91OnyuqXIJ via @DarkReading #InfluxDB

[InfluxData @InfluxDB]

Client libraries let you work with InfluxDB's API in your preferred programming language.

Learn what they are, how they work, and why they're your best option for integrating #InfluxDB into your applications. https://t.co/HuMzxXvqrG

[InfluxData @InfluxDB]

Real-time enrichment shouldn't require another service in your stack.

See the #InfluxDB 3 Processing Engine in action as it runs Python transformations directly inside the database for streaming telemetry workloads.

📅 June 16, 8:00 AM PT | 3:00 PM GMT | 4:00 PM BST

Register! https://t.co/n2VfXVdm4I

[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 what allows AI to act in real-time, rather than react after the fact.

In a recent conversation with @awscloud, @ninjaone, and The Stack, our CEO @evankaplan discusses what changes when AI is grounded in live telemetry instead of static datasets. The shift is economic as much as technical: when teams can retain and operate on higher-resolution signals without prohibitive cost, AI moves from reactive troubleshooting to proactive action.

Watch the full conversation. #InfluxDB https://t.co/TjtQraqR9c

[InfluxData @InfluxDB]

🌌 Aerospace companies use time series data to monitor satellites, predict failures, and plan missions.

This technical paper shows how Thales Alenia Space and Loft Orbital handle telemetry from orbital systems: https://t.co/cxuhtFppd6 #InfluxDB

[InfluxData @InfluxDB]

In BESS operations, latency isn’t just a delay. It’s a risk.

#InfluxDB 3’s Last Value Cache delivers the current state of your entire fleet instantly from memory, no external caching required.

Learn how to power real-time dashboards at scale 🔋
https://t.co/sCm8WPAK3a

[InfluxData @InfluxDB]

Immediate alerts matter when systems fail.

This guide shows how to build multichannel monitoring with SMS, WhatsApp, and Slack using #InfluxDB 3's embedded Python engine.

No external orchestration needed! https://t.co/Kh7ZB3YpSj via @thenewstack

[InfluxData @InfluxDB]

Stop waiting for scheduled exports!

Stream live data with #InfluxDB 3 and catch that overheating motor 𝙗𝙚𝙛𝙤𝙧𝙚 it shuts you down.

Real-time insights = real-time wins. ⚡ https://t.co/JDEmTQUqFG via @IIoT_World

[InfluxData @InfluxDB]

What happens when edge intelligence meets real-time time series analytics? 🤝

The partnership between InfluxData and Litmus is helping industrial organizations unlock faster insights, smarter operations, and scalable industrial AI.

🎥 Watch the video to learn why the Litmus Edge + #InfluxDB 3 Enterprise integration is built for the future of industrial IoT.

[InfluxData @InfluxDB]

Physical AI demands deterministic outcomes, not probabilistic ones.

InfluxData CEO @evankaplan explains why time series databases are essential infrastructure for the next wave of AI on the Real Digital Transformation podcast. #InfluxDB https://t.co/7g9khWzqAZ

[InfluxData @InfluxDB]

Want to get more from Telegraf? #influxdb

Join our live session for a deep dive into:
✅ Telegraf architecture & plugins
✅ Building a collection pipeline from scratch
✅ Extending Telegraf with ExecD & Starlark

📅 June 16, 8:00 AM PT | 3:00 PM GMT | 4:00 PM BST

Register! https://t.co/9F6MGtd76U

[InfluxData @InfluxDB]

Want to get more from Telegraf? #influxdb

Join our live session for a deep dive into:
✅ Telegraf architecture & plugins
✅ Building a collection pipeline from scratch
✅ Extending Telegraf with ExecD & Starlark

📅 June 16, 8:00 AM PT | 3:00 PM GMT | 4:00 PM BST

Register! https://t.co/n2VfXVdm4I

[InfluxData @InfluxDB]

Legacy historians were built for yesterday's requirements.

Industrial AI requires architectures designed for high-volume telemetry, OT/IT integration, and real-time insights.

See a live edge-to-cloud deployment with @Litmus_io and #InfluxDB 3 Enterprise on June 17.

Register now. https://t.co/qIsdV7L7lX

[InfluxData @InfluxDB]

.@Teregacontact manages 5,000 km of gas pipelines across France.

Their legacy data historian couldn't keep up, so they built their own cloud-native solution with #InfluxDB at its core; handling 100k+ real-time metrics for pipeline management, sensors, and energy transition data. https://t.co/Q9bJAkgmAw

[InfluxData @InfluxDB]

ICYMI: We opened the Telegraf Enterprise beta to the broader #telegraf community.

Telegraf Enterprise is built for teams running Telegraf at scale. Get the whole story on the #InfluxDB blog. https://t.co/IGgC4LPSQz

[InfluxData @InfluxDB]

✌️ Two free #InfluxDB University courses walk you through InfluxDB 3 Core and Enterprise fundamentals and Processing Engine essentials with hands-on examples and shareable badges.

Start building. https://t.co/MseCfZeeoM