InfluxDB

Time series deployments rarely grow as planned. InfluxDB 3.12 brings more capacity and control to Enterprise deployments: ✓ Bulk Parquet import, 3x faster ✓ Distributed compaction (beta) ✓ Per-database schema enforcement ✓ Role-based access control (GA) Read more: bit.ly/4dQgCGb

Knowing which Telegraf agents to update shouldn’t take a manual audit. In Telegraf Controller 1.2, Telegraf Enterprise flags agents whose reported version is affected by a published security advisory. It’s one docker run to start. Get the details: https://bit.ly/4e4mFHr

Cardinality limits are a thing of the past. InfluxDB 3 eliminates the series index that made high cardinality a memory bottleneck. Keep the device IDs, user IDs & metadata that make your data useful. Millions of unique series are part of the job. Hit play ▶️

With InfluxDB powering its PLATO platform, Seadrill has saved $55M in asset lifecycle costs, improved operational efficiency by 30%, avoided $6M+ in shutdown costs, and cut historical analysis from days to minutes or seconds. Read: bit.ly/48kzWZB #SDRL

Ever wonder what’s changed in InfluxDB since 2016? In this InfoQ deep dive, InfluxData CTO Paul Dix explains the 4½ year journey to re-architect InfluxDB around Rust and the FDAP stack, and the vision to go beyond a metrics store. Check it out: bit.ly/42NoMtj

Ever wonder what’s changed in InfluxDB since 2016? In this InfoQ deep dive, InfluxData CTO Paul Dix explains the 4½ year journey to re-architect InfluxDB around Rust and the FDAP stack, and the vision to go beyond a metrics store. Check it out: bit.ly/42NoMtj

“We are not doing something at the millisecond. We are at the nanosecond.” - Xavier Mocquard, ITER ITER keeps 5 years of infrastructure telemetry at nanosecond resolution on InfluxDB 3 Enterprise, with no more monthly out-of-memory crashes. https://bit.ly/3WGxM3a

Join the Apache DataFusion community in San Francisco for an evening of lightning talks, mingling, and snacks. 🎙️ Speaker lineup coming soon 📍 November 12 | 5:30 PM-8:30 PM Come for the talks, stay for the community, leave with new ideas. Save the date: https://bit.ly/3VMvWgV

Bevi's smart water coolers stream every dispense plus CO₂ pressure and water temp readings. Once ingestion started straining, Telegraf began batching events into groups of thousands before writing to InfluxDB. The result: zeo overload crashes + ~2,500 events/sec https://bit.ly/4jukWie

One developer directed agents through 6,778 commits and 1M+ lines of Rust in 11 days. InfluxData cofounder + CTO on why the harness and verification behind the Bun rewrite matter more than the language switch, and what happened when he tried it on InfluxDB https://bit.ly/3UtkQgs

Q3 brought ~3x faster bulk imports and GA RBAC in InfluxDB 3.12, high availability in Telegraf Controller 1.1, AWS IoT Core ingestion and more. Everything that shipped, including beta distributed compaction: https://bit.ly/4B6uExq

Sample data never pages anyone at 3am. Our live demos run InfluxDB on realistic, simulated workloads, so you can watch it handle data that behaves like the telemetry you actually work with. Two are up now: 🛰️ Satellite telemetry 🖥️ Data center monitoring https://bit.ly/4BrIMSj

Telegraf 🤝 Databricks The new Zerobus output in Telegraf 1.40 streams metrics into Delta tables. Thanks to zlata-stefanovic-db and hdecarne for the new plugins and to every open source contributor behind this release. Read more: https://bit.ly/4d1ivQa

Tell us what you’re building, migrating, or scaling. We’ll make the time count. Meet InfluxData and Amazon Timestream experts at AWS re:Invent, Nov 30–Dec 4 in Las Vegas. ➡️ Book a meeting: https://bit.ly/3LxQQeo

Tomorrow! Join the live demo to explore real-time root cause analysis for AI-Scale data centers and learn how to unify the telemetry into one real-time layer. 📅 October 14th 🕗 8AM PT | 3PM GMT Register: https://bit.ly/4BgS1oj

Automotive plants are generating more sensors, machines, and telemetry than traditional historians can handle alone. Check out how Toyo Tires and American Axle & Manufacturing use InfluxDB to scale time series data across manufacturing operations: https://bit.ly/4zrKsZR

"Partnering with InfluxData was the right decision." That's how the CTO of Teréga describes its modernization journey with InfluxDB. The results: 📉 50% lower TCO ⚡ 12× more frequent data collection 📊 100,000+ metrics across pipelines, sensors, and operations Watch what they achieved 🎥

AI-scale data centers are growing fast, but the data powering them isn’t keeping up. Learn how to unify it all in real time. 📅 October 14th 🕗 8AM PT | 3PM GMT Register: https://bit.ly/4BgS1oj

From Cisco Live to a remote construction site to data centers, Cisco uses InfluxDB to turn telemetry into operational decisions. Three very different environments, one time series foundation. Read the story: https://bit.ly/4enmxTg

InfluxData + Amazon Timestream are teaming up at AWS re:Invent Nov 30-Dec 4 in Las Vegas. Meet with the teams behind InfluxDB 3 on AWS to dig into your architecture, performance questions, and growth plans. Bring your questions. We’ll make the time count. ➡️ Book a meeting: bit.ly/3LxQQeo

InfluxDB 3.12 gives enterprise teams more ways to scale and more control over production data. The release includes ~3x faster parallel Parquet imports, distributed compaction (beta), per-database schema enforcement, and RBAC now GA. DBTA breaks it down https://bit.ly/4emk0c3

1.5M sensor data points analyzed daily across 1,000 types of manufacturing machines. Texas Instruments uses InfluxDB to catch furnace failures before they scrap tens of thousands of wafers. Explore how 👇 https://bit.ly/4xAr7o0

Data is now continuous, contextual, and time-stamped. Join our Time Series Basics Training on Wednesday 10/7 to learn why time series data is different, where traditional databases hit limits, and how InfluxDB is purpose-built for real-time workloads. Register: https://bit.ly/3RbPE3G

Ever wonder what’s changed in InfluxDB since 2016? In this InfoQ deep dive, InfluxData CTO Paul Dix explains the 4½ year journey to re-architect InfluxDB around Rust and the FDAP stack, and the vision to go beyond a metrics store. Check it out: https://bit.ly/42NoMtj

Keeping 600+ LEO satellites safe + operational requires visibility across an enormous stream of telemetry. Eutelsat uses InfluxDB to power real-time dashboards, proactive alerts + cross-system correlation for mission assurance. Explore how: https://bit.ly/47sCvrt

InfluxData is a 2026 BuiltIn Best Place to Work, including Best Midsize Place to Work in San Francisco and Best Remote Place to Work. We're hiring on our Sales team! Explore open roles: https://bit.ly/4nqVybb

✌️ 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://bit.ly/45Va19t

Who monitors the monitoring system? At NetApp: another InfluxDB instance. A separate open source instance monitors the production cluster, so SREs maintain visibility when they need it most. Think that's cool? Check out how NetApp built its telemetry foundation 👇

Time series data isn't just data with a clock attached. Forcing it into traditional tools is where teams hit a wall. Join the Time Series Basics training to explore why and how InfluxDB was purpose-built for it: October 7th, 8am PT/3pm GMT https://bit.ly/3RbPE3G

What happens when your SaaS provider doesn’t detect the breach? That happened at InfluxData. So we built DiSCO: a time series-driven security monitoring architecture for spotting anomalous behavior without a full SIEM team or seven-figure budget. https://bit.ly/3TT6GVA

London Apache DataFusion Meetup Wednesday, September 30! InfluxData engineers Andrew Lamb and Martin Hilton will join SpiralDB and Cloudflare for talks on real-world applications, innovations, and integrations in the Apache Datafusion ecosystem. Join the event: https://bit.ly/4xxRtXU

Telegraf 1.40 is here! New Databricks Zerobus output + Fritzbox Smarthome input plugins, Cisco MDT fixes, corrected SMART power-on-hours reporting, Elasticsearch input migrated to an official library, deprecated plugins removed. Full notes: https://bit.ly/4d1ivQa

Tomorrow! A live, hands-on session exploring how River plugins for the InfluxDB Processing Engine can help you build real-time ML pipelines with InfluxDB 3. ✅ Spot anomalies ✅ Build ML models ✅ Create real-time forecasts https://bit.ly/4iCTheq

What happens when manufacturers can analyze PLC data every 50 milliseconds? ✔️ 35–45% reduction in downtime ✔️ 7–10% reduction in material waste Discover how MAJiK Systems uses InfluxDB to turn factory telemetry into operational intelligence: https://bit.ly/3TxENlx

Tomorrow! A live, hands-on session exploring how River plugins for the InfluxDB Processing Engine can help you build real-time ML pipelines with InfluxDB 3. ✅ Spot anomalies ✅ Build ML models ✅ Create real-time forecasts https://bit.ly/4iCTheq

1.5M sensor data points analyzed daily across 1,000 types of manufacturing machines. Texas Instruments uses InfluxDB to catch furnace failures before they scrap tens of thousands of wafers. Explore how 👇 https://bit.ly/3V87mGW

Vonage's global contact center platform runs across 100+ countries and 6 clouds, handling up to 500K requests/minute and 1M calls a day. InfluxDB and Telegraf give their engineers sub-second telemetry, catching issues before customers feel them. Read the story: https://bit.ly/3VI4dxJ

London, we’re coming your way! The next ApacheDataFusion Meetup is September 30. Join us for an evening focused on DataFusion's growing role in modern data infrastructure with talks from InfluxDB, SpiralDB and Cloudflare. Register to reserve your spot: https://bit.ly/4xxRtXU

Automotive telemetry is a time series problem. Our new blog explores how InfluxDB can help automotive teams turn continuous data into real-time insights, with flexible architectures for forecasting, downsampling, retention and more. Find out how: https://bit.ly/46ylpIk

InfluxDB + Grafana = a tried-and-true pairing for time series monitoring. Our guide shows you how to go from data ingestion to a real Grafana dashboard using a realistic smart-building dataset. Read the guide: https://bit.ly/4xDbmgd

One week away: build live anomaly detection and forecasting with River ML and InfluxDB 3's Processing Engine. Free hands-on training 9/24 at 8am PT | 4pm BST. Register: https://bit.ly/4cQFBZv

Big Data Quarterly named InfluxData to its 2026 Data and AI 75. 🎉 Honored to stand alongside the companies pushing data and AI forward. Check out the full list 👇 https://bit.ly/4rbj3sA

How do you monitor factory equipment remotely without connecting cloud apps directly to critical infrastructure? Olympus Controls built an edge-to-cloud architecture with MQTT, Telegraf + InfluxDB to make machine telemetry accessible for real-time monitoring. https://bit.ly/4j3zjcQ

What made InfluxDB cofounder and CTO Paul Dix change his approach to coding with AI? Listen to the episode on Changelog about what it means to build the machine that builds the machine. https://bit.ly/4b4hCWj

Need realistic sample data in InfluxDB 3? 🐦 The new Bird Tracking Simulator generates synthetic telemetry data. 〰️ The new Signal Generator creates configurable waveform data. Both write directly to #InfluxDB 3 with a single trigger. https://bit.ly/4rbAg51

100+ space launches. Thousands of data points per second. 1,000 Hz telemetry streams. Epsilon3 uses InfluxDB as the telemetry backbone for software that helps aerospace teams execute mission-critical operations with real-time insight. Read more: https://bit.ly/4xkSRNq

Should you switch your InfluxDB client to Rust? For many workloads, no. But for high-throughput ingest, constrained edge environments, or Rust-native telemetry pipelines, it might be time. Meet the new async Rust client for #InfluxDB 3 → https://bit.ly/3RLK4Wg

Bring ML closer to your time series data. On Sept. 24, learn how to use River ML inside the #InfluxDB 3 Processing Engine for anomaly detection + forecasting without a separate ML pipeline or retraining cycle. Register: https://bit.ly/4vnHW5e

What happens when manufacturers can analyze PLC data every 50 milliseconds? ✔️ 35–45% reduction in downtime ✔️ 7–10% reduction in material waste Discover how MAJiK Systems uses InfluxDB to turn factory telemetry into operational intelligence: https://bit.ly/3TxENlx

Date TBD Physical AI in Production: The Data Infrastructure Gap Holding Industrial Operations Back. @IIoT_World Industrial AI Summit 2026 is coming on Sept 9 - register here: https://bit.ly/4gHxwaB #InfluxDB