InfluxData

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: bit.ly/4vhWenu

InfluxDB's licensing strategy matters for developers. Our CTO, @pauldix, breaks down the different license types we use and why these choices shape how #InfluxDB develops alongside its open source community. ⬇️

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 difference between a general-purpose database and a specialized time series solution is the difference between a minivan and an F1 car - both will get around the track, but only one is built for the demands of real-time operational workloads. Listen to the full interview with #InfluxDB CEO @evankaplan on @DevOpsParadox podcast bit.ly/3ODjw7m

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

#InfluxDB 3 Explorer 1.9 makes it easier to work with existing queries and build faster. New in this release: ✅ Beta AI-assisted Flux-to-SQL converter (supported queries) ✅ Native InfluxQL support ✅ New live data simulators ✅ Search, query history, SQL formatting & more Read the blog: bit.ly/3SQ1zVi

🏎️ What happens when you combine @F1 telemetry, AI agents, and a modern time series database? Join InfluxData for a very special session with ASU student @_Rohan_C 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: bit.ly/3TlMISL

Battery Energy Storage Systems (BESS) help balance the grid, storing excess energy and releasing it when demand spikes. But their value depends on being available at the right moment. That’s why predictive monitoring matters. See why @siemens_energy uses #influxdb ⚡ bit.ly/4vlppXF

⚡ Real-time telemetry from 50M+ metrics per second, zero cardinality bottlenecks, and predictive maintenance built in. #InfluxDB 3 handles data center ops at scale without external ETL pipelines. ↴ bit.ly/4eqyTsO

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 🔋 bit.ly/4cX0EKE

The new @Litmus_io Edge + #InfluxDB 3 Enterprise integration helps manufacturers get contextualized industrial telemetry from edge to production systems faster, with better visibility and lower cost. 🎥 Watch how InfluxData and Litmus are helping industrial teams modernize operations at scale.

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. #influxdb Watch the full conversation. bit.ly/45ZLW1v

#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 bit.ly/42NoMtj

ICYMI: #InfluxDB 3.10 is here. This release brings new enterprise features to the performance beta, including backup and restore, bulk Parquet import, user management, and an RBAC preview. Try it in your environment and tell us what you think. bit.ly/4vYZWTJ

How do you monitor thousands of battery cells, analyze high-frequency telemetry, and detect issues before they impact uptime? 🔋 Join @influxcole on July 21 for a technical session on time series monitoring for Battery Energy Storage Systems. #influxdb Register: bit.ly/3RbTUAc

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/4289VJn

Debug #InfluxdB 3 Cloud Dedicated queries faster with influxctl v2.12.0's new --perf-debug flag. Get real-time execution metrics in your shell as you optimize—no digging through logs or system tables. ↴ bit.ly/3Q8A1ci

How did industrial AI spark the partnership between InfluxData and @Litmus_io? 🤝 🎥 Watch the video to find out why this was the ideal moment for the Litmus Edge + #InfluxDB 3 Enterprise integration, and how it’s helping drive faster insights and real impact across industrial IoT.

Modern databases don’t need to start from scratch. #InfluxDB This is a great look at how the FDAP stack helps teams build smarter, not harder. 💪 youtube.com/watch?v=Gd-mhb…

Before liftoff, NASA runs 490 checks. For AI agents in production, the bar shouldn’t be lower. From release readiness to risk mitigation, here are 10 criteria teams should be thinking about, featuring insights from InfluxData CISO Peter Albert. #InfluxDB 🪐 bit.ly/4bcr88E

📢 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. #influxdb Explore what's new. bit.ly/44xJUV3