SAN FRANCISCO--(BUSINESS WIRE)--InfluxData, the modern Open Source Platform built specifically for metrics, events and other time series data that empowers developers to build next-generation monitoring, analytics and IoT applications, today announced it is hosting the second annual Influx/Days industry event. Influx/Days 2018 is being held Feb. 13 at the Maiden Lane Conference Center in New York City.
Influx/Days is the only industry event focused on the impact of time series data, covering a broad range of topics on the use of metrics and event data coming from sensors, containers, systems and microservices. This annual industry event attracts attendees from a wide variety of roles, including CTOs, developers, architects, and engineers, from a diverse range of industries. The agenda is filled with educational and informative presentations and real-world experiences from innovative companies including Tesla and Comcast, and from InfluxData representatives, including Co-Founder and CTO Paul Dix.
“Our Influx/Days 2017 event was a rousing success, and we have an even broader set of topics on the agenda and twice as many attendees expected at our 2018 event coming up in NYC,” said Mark Herring, InfluxData CMO. “Influx/Days follows the charter of InfluxData – we are here to make life easier for the developer. Influx/Days promises to be an educational event for attendees, packed with opportunities for spirited discussions and professional networking.”
The InfluxData Platform provides a comprehensive set of tools and services to accumulate metrics and events data, analyze the data, and act on the data via powerful visualizations and notifications. InfluxData’s unique features enable customers to quickly build:
- Monitoring, alerting and notification applications supporting their DevOps initiatives
- IoT applications supporting millions of events per second, providing new business value around predictive maintenance and real-time alerting and control
- Real-time analytics applications that are focused on streaming data and anomaly detection
InfluxData has rapidly built its developer and customer base across industries – including manufacturing, financial services, energy, and telecommunications – by delivering the fastest growing Open Source Platform that enables customers to derive better business insights, data-driven real-time actions, and a consolidated single view of their entire infrastructure – from applications to microservices, and from systems to sensors. More than 400 customers, including Cisco Systems, Coupa Software, IBM, Houghton Mifflin Harcourt, Nordstrom, and Tesla, have selected InfluxData as their modern data platform for metrics and events. InfluxData is pioneering the shift to time series in a modern metrics and events platform, and is making it possible for customers to become data-driven and take on digital transformation initiatives.
About Paul Dix
Paul is the creator of InfluxDB. He has helped build software for startups, large companies and organizations such as Microsoft, Google, McAfee, Thomson Reuters, and Air Force Space Command. He is the series editor for Addison Wesley’s Data & Analytics book and video series. In 2010 Paul wrote the book “Service Oriented Design with Ruby and Rails” for Addison Wesley’s. In 2009 he started the NYC Machine Learning Meetup, which now has more than 7,000 members. Paul holds a degree in computer science from Columbia University.
InfluxData, the creator of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData’s more than 400 customers include Cisco, eBay, IBM and Siemens. Visit https://www.influxdata.com/. Twitter: @influxdb.
InfluxData, InfluxCloud and InfluxDB are all trademarked by InfluxData. All other trademarks are the property of their respective owners.