Introduction

Join us to hear from Taras Slipets, Staff Data Engineer at FlixBus, about the lessons learned from building and maintaining a distributed self-service streaming platform over the last 4 years.

Flixbus are leaders in the global green passenger mobility market, servicing more than 400,000 daily connections. Real-time data is critical for decision making in this dynamic environment, facilitating fleet tracking, route optimization, delivering precise arrival times and leveraging ML/AI to optimize the customer experience.

The session will deep-dive into:

• Kafka usage at FlixBus

• Data mesh core principles

• Naming conventions for domain-oriented ownership

• Kafka's prefixed ACL pattern type

• Lessons learned from enabling 10 domains and 50 internal teams

• Self-service for resource management (architecture, CI/CD, permissions workflow)

We'll also take a look at how Conduktor is committed to providing a scalable, vendor-agnostic solution for self-service on Kafka, facilitating collaboration between Platform Teams and Application Teams.