About Time Series Virtual Summit
The Time Series Data Virtual Summit is a virtual event focused on the impact of time series data. You will also gain firsthand knowledge and inspiration from a variety of developers and open source project members on how time series data can be used to help you build and optimize your solutions for real-time visibility into stacks, sensors, and systems. The virtual event will take place on July 16, 2020 at 10 am Eastern Time to 4 PM Eastern Time.
Reframing and Retooling for Observability - Keynote
Observability is making the transition from being a niche concern to becoming a new frontier for user experience, systems, IoT and service management across all organizations. James will discuss what this means for the developers of modern applications and how to use observability to derive deep insights into system performance and user experience.
Session 3: Speaker TBD
How a Time-Series Database Contributes to a Decentralized Cloud Object Storage Platform
Storj Labs uses blockchain technology and a distributed network to provide storage at lower costs than cloud providers. By equipping their customers with fast, secure and fully distributed storage, their users no longer need to manage their infrastructure. The Storj platform enables applications to store and share data across a distributed network with end-to-end encryption. Discover how InfluxDB is a component to Storj's Tardigrade service and workflows.
In this webinar, John Gleeson will dive into:
- Storj's redefinition of a cloud object storage network
- How InfluxData fits into Storj's Open Source Partner Program
- Collecting and managing high volume real-time telemetry data From A distributed network
Session 5: Speaker TBD
How an Analytics Platform Detects Reliability Threats and Eliminates Obstacles Impeding Results Using InfluxDB
Tignis uses physics-driven analytics to improve the reliability and efficiency of connected mechanical systems. Learn how Tignis uses IoT sensors to reduce unexpected downtime at manufacturing plants and school campuses. By utilizing AI, predictive maintenance and digital twin technology, Tignis has reduced customers’ energy consumption and optimized customers’ operations.
Hear from Jon Herlocker, CEO at Tignis, to learn how they’re using a time series database to improve their competitive advantage and accelerate their go-to-market strategy.
10 min break
Session 7: Speaker TBD
Session 8: Speaker TBD
Thank you for your interest in the Time Series Virtual Summit 2020.