Jay Smith discusses the definition of serverless, serverless eventing, data-driven vs. event-driven architecture, sources and sinks, and hybrid cloud with on-prem components.

Inventory management systems are crucial for reducing real-time inventory data drift, improving customer experience, and minimizing out-of-stock events. Kafka provides seamless inventory tracking at scale, saving billions of dollars in the supply chain, making modernized data architectures more important to retailers now more than ever. In this episode, we’ll discuss how Kafka enables stateful event streaming on a cloud-native platform for application and architecture modernization, leveraging Spring Boot, Kafka Streams, and Apache Cassandra.

Bernd Ruecker, a co-founder and the chief technologist at Camunda, talks through the company's journey, how he ended up in open source, and all things automation. Bernd also dives into dead letter topics in Kafka, software interacting with software, orchestration tension, and best practices for approaching challenges that pop up along the way. This episode will take you through a thorough introduction of the Komodo Cloud as well as Camunda’s Kafka connector.

Paul Rayner describes how the vast tooling in DDD enables developers to focus on the coding that really matters and makes systems more collaborative, taking into account three primary considerations: how to get better at collaborating, strategic design and understanding why design really matters, and modeling codes.

Yaroslav Tkachenko shares about how matchmaking services, microtransactions, and telemetry statistics all play a role in Activision’s challenging (but fun) event streaming use cases. Learn about how Activision ingests huge amounts of data, what the backend of their massive distributed system looks like, and the automated services involved for collecting data from each pipeline.