Heading to AWS re:Invent? Don’t miss our talk on building intelligent real-time systems with InfluxDB! ??? Thursday, December 5 ?? 1:30 PM ?? Venetian | Hall B | Expo | Theater 4 We'll explore the world of time series data and how InfluxDB powers intelligent real-time systems. We'll cover the essentials of time series databases and showcase how InfluxDB tackles complex data challenges with ease. ?? https://bit.ly/4eZEmpE #InfluxDB #AWSreInvent #TimeSeries
InfluxData
软件开发
San Francisco,California 20,303 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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At InfluxData, we’re all about time—usually as data, but today it’s all about time spent with friends, family, and good company. ?? ?? We're grateful for our Influxers, our customers, and this incredible community. Wishing you all a day filled with connection, gratitude, and maybe a little extra pie. ??? #HappyThanksgiving from all of us at InfluxData!
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Get ready to learn the core concepts of time series databases with InfluxData DevRel Anais Dotis! She'll give an overview of the InfluxDB platform and share how to install it and get started. This one-hour session includes live Q&A. Don’t miss out on becoming an expert on a powerful time series database in a single binary: https://bit.ly/3APz0Pf #InfluxDB #engineering #TimeSeries
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AWS re:Invent is December 2–6 in Las Vegas, and we're ready to roll! Here's how you can connect with the InfluxDB team during the event. ?? ?? On the floor: Swing by booth 1080 to discover how InfluxDB simplifies the complexities of data management. ?? Schedule an on-site meeting with us for a chance to win an Oura Ring 4! https://bit.ly/3UwY3Ns ?? Stop by our talk where we'll demonstrate how InfluxDB solves complex analytical problems with its latest features. ??? Dec. 5, 2024 ?? 1:30 PM ?? The Venetian | Hall B | Expo | Theater 4 Our team will be on hand all week to discuss InfluxDB 3.0 and how it powers real-time systems at scale. #AWSreInvent #AWS #InfluxDB
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Ready to dive into IoT data collection? Learn how to use Telegraf to collect data from an MQTT broker and send it to InfluxDB Cloud for real-time analysis in our step-by-step guide. https://bit.ly/3CQLGG0 #IoT #InfluxDB #Telegraf
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?? Ready to build something amazing from anywhere? We’re a remote-first company on the hunt for passionate engineers to join our team. Check out the open roles and see how you can make an impact ?? ?? Senior Operations Engineer ?? Remote U.S., remote Canada ?? https://bit.ly/3YYLsEn Use your ops skills, software expertise, and teamwork to build reliable, distributed services for InfluxDB, our time series platform. ?? Senior Technical Lead, EMEA ?? Remote U.K. ?? https://bit.ly/41omJML Join our global engineering team as a Europe-based Senior Technical Lead, driving architecture, best practices, and technical excellence! Check out other open positions and learn more about benefits, culture, and more! ?? https://bit.ly/3Z2TLim #InfluxDB #Engineering #Hiring #RemoteWork
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Learn how to collect, store, and visualize data using the powerful trio of the TIG stack! This tutorial shows you how to set up InfluxDB, Telegraf and Grafana, and then connect them together to create a complete data monitoring solution. https://bit.ly/3CDof37 #InfluxDB #Grafana #Telegraf
Using Telegraf, InfluxDB, and Grafana Tutorial
https://www.youtube.com/
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InfluxData转发了
Thrilled to share that Apache DataFusion 43.0.0 is now the fastest engine for querying Apache Parquet files in ClickBench. At InfluxData, we’re proud to have contributed to DataFusion’s growth while building InfluxDB 3.0. In 2020, when?Paul Dix?embarked on the InfluxDB rebuild, DataFusion was just getting started. Thanks to an incredible global community, it’s gained serious momentum with continuous performance enhancements and new features. As DataFusion evolves, its advancements flow directly into InfluxDB 3.0 and other systems built on it. This allows us to push the boundaries of database technology faster than ever. Hats off to the DataFusion community for making this milestone possible, and special thanks to?Andrew Lamb,?our Staff Engineer and member of the Apache Arrow and Apache DataFusion PMC due to his organization and programming efforts. https://lnkd.in/gsWmzhdm #InfluxDB #DataFusion #RustLang #OpenSource
Apache DataFusion is Now the Fastest Single Node Engine for Querying Apache Parquet Files
influxdata.com
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How does Eutelsat Group monitor telemetry data from its growing fleet of low Earth orbit (LEO) satellites? ??? Join our upcoming webinar to learn how they use InfluxDB for real-time insights into spacecraft health, performance, and network status. Discover how custom dashboards, alerting systems, and predictive maintenance optimize satellite operations. ?? https://bit.ly/4eA4SoZ with Daniel Kroboth, Vice President, LEO Satellite Operations #InfluxDB #TimeSeries #Aerospace
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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