Modernizing platforms for the AI-driven future is essential. Aiven’s data and AI platform empowers businesses to thrive in this ever-evolving digital landscape. In this Data (R)evolution episode, Aiven’s Bob Krygowski and Stu Garrow explain how to tackle the challenges of scaling a company, benefits of multicloud flexibility, the role of organizational sponsorship, and the innovative "Bring Your Own Cloud" (BYOC) concept. Our discussion also covers open-source technology and cloud portability—key elements for modernizing your infrastructure in an AI-driven future.

Manual tuning can remediate some waste, but it doesn’t scale or address in-application waste. Watch this conversation to learn why manually tuning your Apache Spark applications is not the best approach to achieving optimization with price and performance in mind. Visit Pepperdata's page for information on real time, autonomous optimization for Apache Spark applications on Amazon EMR and EKS.

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.

Veteran developers and staff engineers at InfluxData, Nga Tran and Andrew Lamb, have an honest conversation about dealing with software bugs. Bugs can be frustrating, but they can also be thrilling. They are a sign that people are actually using your software - and that's a good thing! Andrew and Nga talk through a recent bug their team encountered, how they approached resolving the issue, and what considerations go into building a permanent fix.

Veteran developers and staff engineers at InfluxData, Nga Tran and Andrew Lamb, discuss what it was like to rewrite InfluxDB for version 3.0. Several factors prevent companies, especially startups, from rewriting their products. But what does the process look like once a company embarks on a rewrite? And how do they balance innovation with user feedback?