The text announces the private preview of Atlas Stream Processing, a new product from MongoDB that simplifies the path to reactive and event-driven applications. The world is evolving rapidly, and applications must be able to keep up. Reactive and event-driven applications provide unique experiences for clients, accelerate time-to-understand and act for businesses, and allow for real-time processing and analysis of data streams. Atlas Stream Processing helps developers build these applications more quickly by simplifying the process of working with continuous data streams. The product is built on top of MongoDB's document model and provides a unified experience across all types of data, allowing developers to work with data in motion and at rest using a single API and interface. The product also integrates with popular streaming platforms such as Apache Kafka, Confluent Cloud, AWS, Microsoft, Redpanda, and Google, providing native performance and low-latency processing. Atlas Stream Processing offers three key features: continuous processing, validation, and fusion, which enable developers to transform stream data into a differentiated client experience. The product is fully managed in MongoDB Atlas, requiring only a few lines of code to set up a stream processor, pipeline, or API. Developers can create pipelines using the same syntax as for MongoDB's document database, and the product provides a secure and reliable way to handle data streams, with features such as Dead Letter Queues and real-time processing.