Operations | Monitoring | ITSM | DevOps | Cloud

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.

In this video, Ryan Clements from Byte Bot shares his experience integrating Storybook and Next.js. Discover the lessons he learned about automation, documentation, and open-source community engagement. Whether you're a developer or interested in software engineering, this talk offers valuable insights.

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.

Adopting cloud technology to gain velocity and agility in the marketplace allows companies to focus on what matters most. However, this transition isn't without its risks. In this episode of Data (R)evolution, hosts Janki Patel Westenberg and Francesco Tisiot are joined by Dave Li, former Senior Software Engineer at Helthjem, and Oded Valin, Co-Founder & CEO at EverSQL, to discuss the application of AI in database management, the importance of expertise in cloud adoption, and the need for streamlined tools in an increasingly data-driven world.

To the unfamiliar, building with open source tools may seem like the kind of chaos that leads to Boaty McBoatface-like decisions. Andrew Lamb, staff engineer at InfluxData and PMC for the Apache DataFusion project, provides insight from a developer and a PMC perspective about what it's like to build with, and manage a major open source project. InfluxData recently rebuilt its core database using Apache projects: Flight, DataFusion, Arrow, and Parquet, dubbed the FDAP stack.

Using open source projects from the Apache foundation to build low-level database software drives innovation. Andrew Lamb, Staff Engineer at InfluxData and PMC for the Apache DataFusion project, discusses the components of the FDAP stack - Flight, Arrow, DataFusion, and Parquet, explaining how building with these tools helps companies focus on innovation instead of spending dev cycles reinventing the wheel.

In a world that's increasingly dependent on digital ecosystems, how do you ensure that your platform stands up to the demands of security and compliance?

How do you know if your engineering team is efficient at scale? Is modern CI/CD cloud tooling and DORA metrics enough? One of the best ways to find answers is by looking at successful open-source projects and how they operate, overcoming the challenges of remote work, asynchronous communication, and diverse global collaboration.