This podcast explores a new approach to building business systems using event-driven architecture and stream processing tools like Kafka. Instead of relying on traditional databases, streaming systems treat data as an evolving stream of events, allowing organizations to build loosely coupled, highly scalable, and resilient applications.

Each episode will examine key concepts and patterns from the book "Designing Event-Driven Systems" by Ben Stopford, covering topics such as:

• The limitations of traditional service-oriented architectures and the challenges of sharing data between services.
• The benefits of event-driven systems for building loosely coupled, scalable, and resilient applications.
• How a replayable log like Kafka can serve as a central source of truth for an organization's data.
• Event Sourcing, CQRS, and other stateful patterns for managing data in event-driven systems.
• The importance of data on the outside, as described by Pat Helland, and how it differs from data on the inside.
• Practical examples of building streaming services with Kafka Streams and KSQL.

Join us as we explore the future of data engineering and learn how to build the next generation of event-driven applications.

Podcast Title: Data on the OutsidePodcast Description: