Atlas Stream Processing 现已推出公共预览版

Atlas Stream Processing has released its public preview version, allowing developers to handle data streams like coding. The platform was first launched in 2023 and is now redefining the experience of processing high-speed event data streams by unifying how dynamic and static data are handled. Several use cases have been reported, including a leading global airline using complex aggregations for maintenance and operational data to ensure timely flights for thousands of daily passengers. Other users include an energy device manufacturer monitoring large pump data continuously to avoid downtime and optimize output, and a SaaS provider enriching its product with real-time contextual alerts. The platform supports processing Kafka data from partners like Confluent, Amazon MSK, Azure Event Hubs, and Redpanda. New features in the public preview include VS Code integration for stream handling within familiar development environments, improved dead letter queue functionality, enhanced window functions, and support for dynamic expressions in merging and emitting phases. The platform also offers new capabilities like $search to access data from a remote Atlas cluster during stream processing, change stream previews and postviews, and the ability to use dynamic expressions for conditional routing. Other improvements include checkpoints for state preservation during processing, Terraform support for creating connection and stream handling instances, project-level roles for secure task execution, and Kafka consumer group support for offset tracking. The report also highlights how AI technologies are being used in the banking industry today to address various workflows and customer-facing services, from process automation and optimization in middle and back offices to real-time risk and liquidity management, cash flow forecasting, service personalization in front offices, and virtual assistants for customer support.