3). 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.

Utilizing the true potential of data streaming is key to business success. In this Data (R)evolution episode, we're joined by Josep Prat and Filip Yonov to dive into the transformative features of Apache Kafka and its evolving role in data architecture. They discuss the critical importance of collaboration and feedback in enhancing Kafka's capabilities, the future of "lake house" technology, exciting updates from the Open Source Program Office (OSPO), and the importance of Kafka's readiness to support evolving data formats—making it a backbone for modern data ecosystems.

Talk by Pranay on Scaling OpenTelemetry collectors with Kafka by Pranay in Conf42 SRE summit in 2024. Pranay talks about challenges with scaling Otel collectors and how Kafka can help solve it. He also shares how they use this architecture at SigNoz to scale their cloud service.

Watch this webinar to gain insights on building the next generation of data-streaming platforms and how by reframing your current approach you can reduce operational complexity and Kafka costs.