step-functions

AWS Step Functions orchestrate multi-service workflows by using state machines to coordinate Lambda, DynamoDB, and S3. You define the workflow logic using ASL JSON, enabling reliable execution of complex business processes like order processing and data pipelines.

Yes, serverless state machines support robust error handling and automatic retries within their ASL JSON definitions. You can configure catchers and retry policies on Task states to ensure long-running workflows recover from transient failures without custom wiring.

The best way to process arrays in AWS Step Functions is using the Map state. The Map state allows you to iterate over items in parallel, applying the same processing logic to each item for efficient data processing workflows.

Yes, AWS Step Functions supports nested workflows by invoking another state machine from within a Task state. This allows you to modularize complex orchestration logic, isolating sub-processes while maintaining centralized monitoring of the parent workflow.

You can deploy an ASL JSON state machine definition using the AWS CLI or SDK. After defining your state machine with StartAt and Task states, execute the deployment commands to provision the workflow and start orchestrating your AWS services.