InfluxData

Keeping the grid balanced isn’t optional. It’s essential. Battery Energy Storage Systems (BESS) play a critical role by storing excess energy and delivering it when demand rises. But their value depends on one thing: availability at the exact moment they’re needed. That’s why predictive monitoring is so important. Knowing what’s happening in real time – and what’s likely to happen next – can be the difference between seamless operation and costly downtime. See how Siemens Energy approaches BESS reliability with InfluxDB 👇 https://bit.ly/4bXtY1w

We are holding an Apache DataFusion meetup on Wed April 22 in Portland: https://luma.com/dsp3ud82 Join myself, Mustafa Akur , Weston Pace and Lu Qiu as we talk about DataFusion, Streaming Query Optimization, Reading without Row Groups, and Distributed Execution. This is right after https://lnkd.in/ef98gt_S so if anyone is still in town afterwards and wants to come hang out, please do. Yes, this is a day before the meetup in Seattle/Bellevue on April 23: https://luma.com/hxshbp0m Thanks as always to InfluxData and Evan Kaplan and Paul Dix for helping sponsor this event and supporting these projects, and my participation in them

Last week, we announced the new Telegraf Enterprise Beta, built for teams running Telegraf at scale. If you missed the details, check the comments for a link to the blog. Have questions? Catch a replay of the webinar with InfluxData Product Manager Scott Anderson. https://bit.ly/4m00pRN

Today, we’re announcing another step forward for InfluxDB 3 on AWS with support for clusters up to 15 nodes, giving teams a new scale tier for large time series workloads. As telemetry volumes grow, time series systems face higher ingestion rates, more concurrent queries, and rapidly increasing cardinality. Larger clusters make it possible to scale these workloads while keeping query performance fast. We’re also introducing a direct upgrade path from InfluxDB 3 Core (open source) to Enterprise, so teams can scale to these clusters without downtime or data migration. Together, these changes give teams more room to scale their time series workloads on AWS. Full details on our blog: https://lnkd.in/eyD2xpNX

InfluxDB 3.9 is out today. As more teams move from experimentation to production, the bar changes. It’s not just about ingest or query speed. It’s about how the system behaves under pressure, whether it remains predictable as workloads scale and complexity increases. With 3.9, we’ve focused on improving the operational experience in production. Alongside that, we’re introducing a performance preview (beta) designed to make the system behave more consistently under real-world conditions. Time series workloads are inherently variable. Data shape, ingest patterns, and cardinality all shift over time, and small differences can have a big impact at scale. This work is aimed at smoothing that variability so teams can rely on the system, not work around it. We’re releasing this early so it can be tested against real workloads and shaped by the teams running it at scale. https://lnkd.in/eMirzwzF

InfluxDB 3.9 is out today! This release focuses on making InfluxDB 3 more predictable in production with more control as you scale. ➡️ We’re also excited to open up a performance preview (beta) in Enterprise. Time series performance isn’t one-size-fits-all. It’s shaped by data distribution, ingest patterns, query access, and cardinality, and small differences can completely change how a system behaves at scale. That’s why we’re introducing these changes as a preview: to see how they hold up across real workloads before becoming the default. These updates focus on smoothing resource usage under load, improving long-range single-series queries, and supporting very wide to highly sparse schemas. PM Pete Barnett breaks it down: https://bit.ly/4dl616N

We had a great time connecting with the community at the Manufacturing IT/OT Summit in Boston last week. From conversations at the booth to InfluxData Staff Engineer Andrew Lamb's session, one theme stood out: the world of industrial IoT is exploding with possibilities. In his talk, Andrew shared how teams are using time series databases to capture, store, and analyze massive streams of sensor data, building the foundation for physical AI, automation, and predictive analytics. We especially enjoyed hearing real-world use cases from practitioners tackling these challenges every day. Thanks to everyone who stopped by. We’re already looking forward to the next one. 📸 Check out a few highlights from the event below #Manufacturing #ITOT

We’re proud to share that InfluxData has been named to CRN's 2026 Internet of Things 50 in the Top 10 Coolest IoT Software Companies category. This recognition reflects our commitment to helping organizations build real-time, intelligent systems with time series data. See the full list: https://bit.ly/416RoN1

Industrial systems today generate massive volumes of time-stamped data from thousands of connected sensors every second. Legacy historians weren’t built for this level of velocity, scale, or complexity. Modern manufacturing environments are pulling in telemetry from far beyond a single system of record, making the idea of a “central” historian increasingly outdated in the IIoT era. So what’s next? As InfluxData Senior Developer Advocate Cole Bowden explains, databases are no longer just storage layers. They’re becoming active intelligence engines, analyzing data as it arrives, comparing it to historical baselines, and triggering action in real time. But does this mean you need to rip out and replace your legacy systems? Find out in the article on Automation World https://bit.ly/3Nz2irV

Managing a time series database at scale isn’t trivial, especially when uptime, performance, and data integrity are on the line. If you’re running (or planning to run) InfluxDB 3 Enterprise, this training walks through what it actually takes to operate a cluster in production. You’ll learn how to: → Deploy and manage an InfluxDB 3 Enterprise cluster → Optimize for high availability and performance → Handle real-world operational challenges Join InfluxData Senior Developer Advocate Cole Bowden on Thursday, April 2nd, at 8AM PT / 3PM GMT. Register now. https://bit.ly/484ni0p