Stream Processing Meetup - February

Join us on February 7th for an evening of talks and networking around stream processing and building real-time data applications. This event is sponsored by Quix, a platform for building real-time applications.

Doors and drinks from 18:00
Talks from 18:30

The Battle between Microservices - Tim Kolberg
Tim will talk about the architectural challenges in running a realtime product recommendation platform.

The talk will give you an insight into how Miros achieved running a scalable system by introducing an event-driven approach to their architecture

Building Real-Time Applications at Scale: A Case Study in Cyclist Crash Detection - Tomas Neubauer

As the demand for real-time data processing continues to grow, so too do the challenges associated with building production-ready applications that can handle large volumes of data and handle it quickly. In this talk, we will explore common problems faced when building real-time applications at scale, with a focus on a specific use case: detecting and responding to cyclist crashes.

Using telemetry data collected from a fitness app, we’ll demonstrate how we used a combination of Apache Kafka and Python-based microservices running on Kubernetes to build a pipeline for processing and analyzing this data in real-time. We'll also discuss how we used machine learning techniques to build a model for detecting collisions and how we implemented notifications to alert family members of a crash.

Our ultimate goal is to help you navigate the challenges that come with building data-intensive, real-time applications that use ML models. By showcasing a real-world example, we aim to provide practical solutions and insights that you can apply to your own projects.

Key takeaways:
• An understanding of the common challenges faced when building real-time applications at scale
• Strategies for using Apache Kafka and Python-based microservices to process and analyze data in real-time
• Tips for implementing machine learning models in a real-time application
• Best practices for responding to and handling critical events in a real-time application

Interested in speaking? We're always on the look out for people who could share an interesting story around something they're building in the streaming/real time space. First-time speakers are welcome! Email me - theo@quix.ai.