Joined October 2013
13,357 Photos and videos
Pinned Tweet
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: bit.ly/4tTpMqY
3
1
5
640
Building with time series data? The InfluxData Developer Hub has everything you need to get started: docs, examples, client libraries, and real-world patterns. Skip the boilerplate. Start building. #influxdb bit.ly/4cdtCp7
58
Live demos > slide decks. Join us on TOMORROW to see: • Telegraf pipeline creation from scratch • Real-time Python processing in #InfluxDB • Advanced extensions with ExecD and Starlark Register! bit.ly/4vov2nc
1
114
Legacy historians weren't designed for the demands of Industrial AI. Join @Litmus_io and #InfluxDB on June 17 for a live demo of an edge-to-cloud architecture that delivers real-time visibility across industrial operations. Register now → bit.ly/4vvaJ7O
2
3
122
Dive into #InfluxDB's line protocol: the secret sauce for structuring millions of data points per second. Learn how measurements, tags, fields, and timestamps work together, plus why spaces matter more than you think. 👀
2
2
444
InfluxData CEO @evankaplan sat down with @JamesMaguire to explain how time series data has become foundational for the modern enterprise. He detailed how specialized databases outperform general-purpose systems for fast, high-resolution data, why devs must increasingly start projects with time series in mind, and how #InfluxDB 3 represents a total architectural overhaul built for scale, performance, and real-time intelligence: bit.ly/4q1sYPx
1
175
Most ML pipelines were built for batch processing. Operational data demands real-time learning. We've released 3 new River-based plugins for #InfluxDB 3 that continuously learn from streaming data to generate anomalies, forecasts, and profiles directly inside the database. No separate ML infrastructure. No external pipelines. Read more 👇 bit.ly/4g190Tp
1
288
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. bit.ly/4rAqQP1
1
297
The idea of a single “central” historian is fading in the IIoT era. Modern systems demand real-time intelligence—not just storage. Learn how databases are evolving (and what that means for your stack) 📊 #influxdb Get the lowdown from @influxcole via @automationworld automationworld.com/factory/…
2
3
408
Getting started with #InfluxDB is straightforward—download, install, write data, and query it using your preferred client. This video walks you through the essentials to get up and running quickly. 🔽 youtube.com/watch?v=qR9s2Fw8…
1
498
Telemetry collection is infrastructure. Treat it like a product, not a collection of scripts. Learn how Telegraf and the #InfluxDB 3 Processing Engine help teams build scalable telemetry pipelines with less code and less maintenance. 📅 June 16, 8:00 AM PT | 3:00 PM GMT | 4:00 PM BST Register today: bit.ly/4vov2nc
2
283
Your AI strategy is only as good as your data architecture. See how @Litmus_io and #InfluxDB 3 Enterprise help industrial teams move beyond legacy historians with scalable telemetry ingestion, real-time insights, and seamless OT/IT integration. 📅 June 17 | 11 AM PT | 2 PM ET Save your seat → bit.ly/4vvaJ7O
163
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! bit.ly/4aMEokO
242
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 👇 bit.ly/4gjPhMz
253
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. bit.ly/4vvaJ7O
196
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: bit.ly/4p7AMiK via @DarkReading #InfluxDB
200
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. youtube.com/watch?v=2q-QbvXm…

208