InfluxData

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

#InfluxDB docs now let you copy pages as markdown, grab entire sections with their child pages, or launch directly into GPT/Claude to ask questions. 💬 Skip the context-switching when you need answers!

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

Observability tells you what happened. Operational telemetry tells you what’s happening right now. The real value? Combining both. See how in this live session ↓ bit.ly/4cN0Sm0 #InfluxDB

Your Sunday read: how much can the past really tell you about the future? 🔮 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: bit.ly/4cLaL56

The Power BI Desktop #InfluxDB 3 ODBC connector is here. 🤩 Load your time series data directly into Power BI, apply filters, and build dashboards without data duplication or complex pipelines. Tutorial included! 👇 bit.ly/3X8ezV3

Time series data is everywhere, but most databases aren't built to handle it efficiently. This technical paper breaks down what makes time series fundamentally different from stream processing and full-text search, why purpose-built time series databases matter, and how metrics, events, and traces each serve distinct roles in your data infrastructure: bit.ly/4ebaINO #InfluxDB

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 bit.ly/3Nz2irV

InfluxData CEO @evankaplan breaks down why deterministic data collection matters for real-time apps on @TechstrongTV. From open source community growth to AWS integrations, here's what's driving time series adoption. → bit.ly/3YkjOSd #InfluxDB

Telegraf's metric filters let you control exactly what data flows through your pipeline. Use selectors to keep or drop measurements by name/tag, and modifiers to trim individual fields. Clean data on ingest = efficient processing. #InfluxDB

From MS Flight Sim 2024 to enterprise telemetry! 🚀 With InfluxDB 3 Enterprise, we stream 90+ flight metrics, batch writes, cache values, and deliver cockpit dashboards that respond in under 10 ms. bit.ly/46teiCe

We’re grateful to the community and @dbtrends for recognizing #influxdb in this year’s DBTA Readers’ Choice Awards 🙌 Help us take it further and vote by May 22: bit.ly/3d943GX

Run Home Assistant on Docker with this practical setup guide. It covers installation across different OS environments, CLI commands, and solutions to common issues developers hit during deployment. 🏠 bit.ly/3KSrTXC #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.

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

OpenGuardrails dropped a unified model for AI safety that lets you configure your own risk policies on the fly. One model handles prompt injection, data leaks, and content moderation — no more juggling multiple classifiers. But as Peter Albert, CISO at InfluxData, notes, adopting a tool like this requires diligence: “Establish regular dependency checks, community monitoring for new vulnerabilities, and periodic internal penetration tests. Pair that with external validation and require independent audits at least annually.” More here: bit.ly/4i3qfCq via @helpnetsecurity #InfluxDB

Have you heard? We’ve partnered with @Litmus_io to bring together edge data collection and real-time analytics in a unified architecture, designed to replace legacy historians and support modern industrial workloads at scale. Read the blog for a breakdown on how the Litmus Edge + #InfluxDB 3 Enterprise integration works, and what it enables for teams building connected, data-driven operations. bit.ly/4tTpMqY

🌌 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: bit.ly/4bqE3lo #InfluxDB

Industrial teams don’t lack data. They lack context across systems. See how SkyIO bridges observability data and operational telemetry using the TIG stack with #InfluxDB Live demo: May 14 bit.ly/4cN0Sm0

Build your own plugin in #InfluxDB 3! 🔌 We make it easy: write Python code, drop it in a directory, and run it right inside the database. Describe what you want in plain English, and let the AI write the code. No external services. No containers. Just Python running inside your database. We make it easy to go from Python script to production plugin in 15 minutes flat! 👉 bit.ly/4bK454Q

#InfluxDB works best when paired with the right tools. 🤝 Query with AI through the MCP server, visualize in Grafana or Power BI, collect data with Telegraf, and export to Iceberg. Check out 9 integrations that extend your time series workflow. 👇 bit.ly/3KorYWw