Release notes for CloudFlow

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Track feature releases, optimizations, and other changes to CloudFlow.

October 2024

FeatureTypeDescriptionReferences
Distributed mode for Map statesNew featureMap states now support distributed mode, which enhances the efficiency and capacity of data processing. The distributed mode is applicable to big data processing and parallel computing.Distributed mode

September 2024

FeatureTypeDescriptionReferences
Map states (renamed from foreach)OptimizationForeach states are now called Map states to better reflect their function. For more information, see Map.Map
Increased I/O limitsOptimizationThe maximum execution input, execution output, and event size increased from 32 KiB to 64 KiB.Inputs and outputs, Limits, EventBridge event scheduling

August 2024

FeatureTypeDescriptionReferences
RoleArn field in StopExecution responseNew featureThe StopExecution API operation now returns the RoleArn field, which contains the Alibaba Cloud Resource Name (ARN) of the role used during the execution.StopExecution
AI-based workflow frameworksNew featureGenerate a complete workflow from specific business requirements. The output includes input and output configuration examples, complete sample code, and a workflow description.Create a workflow by using an AI-based workflow framework

October 2023

FeatureTypeDescriptionReferences
Product update and new featuresNew featureThis release introduces several capabilities: Workflow Studio -- a visual flow designer. Online debugging -- debug workflows directly in Workflow Studio. Spec flow definition -- a new flow definition that supports more flexible flow logic orchestration. New execution mode -- supports online business orchestration. Microservice integration -- CloudFlow OpenAPI now integrates with the microservice general protocol.Announcement on product updates, Differences and compatibility of the old and new versions of CloudFlow
Renamed from Serverless Workflow to CloudFlowOptimizationThe service name changed from Serverless Workflow to CloudFlow to better align with cloud standards and reflect the core logic of the service.None