Ever since I have joined InfluxData, the community has been begging for a technical conference dedicated to all things metrics and events and time series data. Well, you asked for it… and we have our first one in the books! Introducing InfluxDays, a time series conference sponsored by InfluxData.
You’re Invited to InfluxDays 2017
We are excited to announce the sale of our special early tickets for our inaugural InfluxDays event! This event will be held in San Francisco on November 14, 2017. We are still firming up the speaker schedule but trust us – it is going to be great! Call for speakers is now open.
Influx/Days 2017 | November 14, 2017, 9am – 5pm
Location: The Village | 969 Market Street, San Francisco, CA
Early ticket price: $100 (going up to $169 on September 29, 2017 unless tickets sell out)
We already have some attendees pre-registered, so don’t delay! Sign up now!
Post Show Workshop
In addition, we will be holding a post-conference workshop covering DevOps & IoT topics on November 15, 2017. Space is limited for these sessions and tickets are $100 with no early registration discounts.
Call for Papers Now Open
We are looking for passionate speakers that will appeal to a technical audience (no marketing zone!). Some topics we feel would be a great fit: Building applications with anomaly detection/machine learning on time-series data, Building applications that monitor and control sensors, Using visualization libraries to depict and act on data, Push vs pull design patterns on metric and event processing.
SUBMIT YOUR ABSTRACT NOW!
Speakers will be notified by 19th September
Influx/Days San Francisco is the inaugural event of a worldwide series of technical conferences covering software tools and technologies: Building applications around metrics and events or time-series data, Developing and building new IoT applications, Using data to drive real-time analytic applications, The evolution from monitoring and notifying to control systems with computerized actions and events
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 micro-services. This is a technical, community developer event – this is a no marketing zone.