What if your database didn’t just store data but understood it - processing changes as they happened? MongoDB Atlas Stream Processing (ASP) brings native stream processing capabilities to your operational data, enabling applications to respond to change events with intelligent logic near the source, and integrate seamlessly with Confluent Cloud. In this talk, we’ll walk through how ASP enables building pipelines for filtering, transforming, and conditional logic - directly within the MongoDB Atlas ecosystem. From detecting threshold violations, conditional routing to downstream services, or enriching via LLM, we’ll explore real-world use cases that benefit from processing-in-place. Confluent Cloud offers developers a fully managed Kafka platform, making it easier to build and scale data streaming applications without the hassle of managing infrastructure. Combined with MongoDB Atlas, it streamlines stream processing, accelerates insights, and powers high-performance applications, helping developers focus on innovation while reducing complexity. This session is ideal for engineers exploring event-driven architectures who need high performance at low cost. Attendees will leave with a clear understanding of how Confluent Cloud and MongoDB Atlas work together in modern data streaming architectures, along with practical code samples they can use in their own projects.