?? We’ve teamed up with Amazon Web Services (AWS) to make InfluxDB even more accessible to developers with Amazon Timestream for InfluxDB. ?? Join us at #AWSreInvent for a Happy Hour to celebrate our partnership: ?? The Prestige Lounge at The Venetian, Las Vegas ??? December 3 ?? We’ll have food, drinks, swag, and AWS credits to go around Space is limited, so RSVP today: https://bit.ly/48Yu7Qn #InfluxDB #AWS #OpenSource
InfluxData
软件开发
San Francisco,California 20,269 位关注者
Creator of InfluxDB, the leading time series data platform
关于我们
InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com.
- 网站
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https://www.influxdata.com
InfluxData的外部链接
- 所属行业
- 软件开发
- 规模
- 201-500 人
- 总部
- San Francisco,California
- 类型
- 私人持股
- 创立
- 2012
- 领域
- Database、IoT、Monitoring、InfluxDB、Telegraf、IIoT、Time Series、Real-Time Analytics和Analytics
地点
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主要
548 Market St
PMB 77953
US,California,San Francisco,94104
InfluxData员工
动态
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Our webinar on December 3rd will outline how Seadrill transformed its offshore drilling operations by switching from an overwhelmed SQL system to InfluxDB. By processing 22K data points per second, Seadrill now monitors critical parameters across its global fleet in near real-time. Seadrill's Project Manager, Richard McConomy, and Senior Technical Manager, Nick Pridmore will share how they leverage InfluxDB, Starlink, Azure, and Grafana to save $12M, improve operational excellence, and gain actionable insights into equipment lifecycle and troubleshooting. ?? https://bit.ly/3ZdeJMO #InfluxDB #SQL #TimeSeries
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[Watch] Paul Dix, Founder and CTO of InfluxData, presented at the Carnegie Mellon Database Research Group Building Blocks seminar series on building InfluxDB with the FDAP stack. ?? FDAP = Apache Flight, DataFusion, Arrow, and Parquet https://bit.ly/4euTrPj #InfluxDB #TimeSeries #Engineering
Building InfluxDB 3.0 with the FDAP Stack: Apache Flight, DataFusion, Arrow and Parquet (Paul Dix)
https://www.youtube.com/
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Our first German-language Telegraf Day in Frankfurt was a success! ???? Thank you to everyone who came to learn, share, and connect. It was inspiring to hear real-world stories about how Telegraf is helping teams gather metrics from their stacks, sensors, and systems. Looking forward to more events like this with our incredible community! #Telegraf #InfluxDB #OpenSource
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Teréga, a gas storage and transportation company, replaces its legacy data historian with InfluxDB, Amazon Web Services (AWS), and IO-Base: https://bit.ly/4e5xqXf Learn more about Terega's success story and our work with AWS at AWS re:Invent! ?? December 2-6 ?? Booth #1080 ?? Demos, stickers, swag and more! ?? Happy Hour, Dec 3 | 5:30-8:00 pm at The Venetian ?? https://bit.ly/4eZEmpE Our experts will show you how InfluxDB handles massive, high-resolution datasets to power real-time systems. #AWS #InfluxDB #AWSreInvent #BuiltOnInfluxDB
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InfluxData转发了
Cofounder and CTO at InfluxDB, series editor on Addison Wesley's "Data & Analytics", organizer NYC Machine Learning
My talk in the CMU Database Building Block series is up! Building #InfluxDB 3.0 with the FDAP Stack: https://lnkd.in/ez5fpVTN There's some intro material that's probably familiar to many, but then I get into specifics on how we're using Apache Arrow, DataFusion, and Parquet to build InfluxDB 3.0. I also talk about the new single server architecture we're building for the upcoming open source release. Throughout I give some thoughts about the evolution of the database and what motivated the big rewrite in #rustlang.
Building InfluxDB 3.0 with the FDAP Stack: Apache Flight, DataFusion, Arrow and Parquet (Paul Dix)
https://www.youtube.com/
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We had a stellar time at AEROSPACE TECH WEEK! ?? ?? Our Developer Advocate Suyash Joshi hosted a session using time series data for real-time telemetry monitoring with real-life aerospace customer stories. ?? ?? A big thank you to everyone who attended the session and stopped by our booth to discuss how time series data is shaping the future of aerospace innovation. #InfluxDB #TimeSeries #Aerospace
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InfluxData转发了
Ever wondered about the data engineering magic behind feats like flawless aircraft ?? operations or SpaceX catching its boosters ?? with pinpoint precision? The secret lies in the?data, specifically, the time series data powering the ML models that make these operations possible. This week at AEROSPACE TECH WEEK in Atlanta, one thing stood out:?data is the game-changer. From real-time telemetry monitoring to ML-driven predictive maintenance, here are the key insights that stuck with me: 1???Predictive Maintenance Needs Better Data: In a talk by data engineers at United Airlines I learned how advanced ML models predict failures, but their success hinges on accurate, high-resolution time series data. 2???MRO Runs on Efficiency: Real-time data reduces downtime, improves SLAs, and streamlines operations, essential for Maintenance, Repair, and Overhaul. 3???Cutting Costs Without Sacrificing Insights: High compression, no retrieval fees, and simplified data management can make innovation cost-effective. It was a privilege to share how InfluxData Cloud helps engineers unlock these insights during my presentation with a live demo and while engaging with attendees at our booth. Big thanks to my colleagues Emily B. Daniel Badaracco Dan Goss @Charles Mahler and organisers Francis Wright Isabel Doherty for this opportunity.
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In part 2 of our series on setting up InfluxDB and visualizing data, we focus on InfluxDB's architecture, giving an in-depth look at its inner workings. ?? Gain insights into how the system efficiently processes and stores large-scale time series data: https://bit.ly/4fz7pkv #InfluxDB #DataViz #TimeSeries
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Get started with InfluxDB using the v3 Python client! This video demonstrates how to easily write and query data programmatically. ?? https://bit.ly/3LLPGcs #InfluxDB?#Python?#TimeSeries
Getting Started: InfluxDB 3.0 Python Client Library
https://www.youtube.com/