Simplify Stream Processing with Python, Quix, and InfluxDB
Session date: Oct 03, 2023 08:00am (Pacific Time)
Quix enables event-driven architecture by combining microservices with event streaming. With Quix, software teams of any size can build and release event streaming apps with AI features that scale, in no time. You can get started in minutes without the complex setup or configuration that comes with managing containers and running your own message broker. Code in pure Python with your favorite libraries and deploy with built-in DevOps best practices to manage your pipeline and monitor your system.
InfluxDB is the purpose-built time series database. A lot of data in streaming applications (i.e. IoT, finance, user behavior analysis and manufacturing) is time series data. Discover how you can become proactive by using Quix and InfluxDB together.
Join this webinar as Tomáš Neubauer dives into:
- Quix’s approach for making stream processing easier
- How the Quix Streaming DataFrames (SDF) library and its tabular format for data processing unlocks the full potential of real-time analytics
- How developers can iterate faster than with a traditional CI/CD pipeline
- How to quickly deploy production-ready applications in Quix with InfluxDB
Tomáš Neubauer
Co-founder and CTO, Quix
Tomáš Neubauer is a co-founder and CTO at Quix, where he works as the technical authority for the engineering team and is responsible for the direction of the company across the full technical stack. He was previously technical lead at McLaren, where he led the architectural uplift of the real-time telemetry acquisition platform for the Formula 1 racing team.