The complexities of real-time data streaming and auto-scaling in the cloud are no joke. But three are solutions to make it more simple and efficient.
In this Data (R)evolution episode, Matan Mizrahi and Filip Yonov join us to discuss how Kafka effectively handles and optimizes data streams, the pursuit of standardized APIs, and the vital role of AI in optimizing complex systems. They also share how AI and open-source tools are transforming the landscape. Tune in to hear about the evolution of data streaming and the transformative impact of AI and cloud-native solutions.
Key Takeaways:
Resources:
Timestamps:
05:13 Challenges in running and optimizing streaming systems
09:10 Using stream data to produce and consume
12:22 Product manager solves customer problems with new capabilities
16:10 Agreement on system complexity and standard API
18:22 Kafka not yet fully cloud native
23:30 Simplifying cloud setup through productization and self-service
26:17 Hope for AI integration with Kafka, improved management
28:24 AI optimizations, reduce customer pain, lower barriers
32:05 Matan emphasized importance of experience and knowledge