Which AWS service is commonly used to orchestrate multi-step workflows across serverless components?

Which AWS service is commonly used to orchestrate multi-step workflows across serverless components?

• A. AWS Lambda
• B. Amazon CloudWatch Events
• C. AWS Fargate
• D. AWS Step Functions

Answer: (D)

Coordinating multiple serverless steps requires an orchestrator that maintains state across tasks and handles progression, retries, and branching. AWS Step Functions provides state machines that sequence tasks, manage retries and errors, run tasks in parallel, and even map over collections, all while coordinating Lambda functions and other AWS services. This built-in workflow management makes it the natural choice for multi-step serverless workflows, plus it offers a visual representation of the process and clear visibility into execution status. In contrast, a single Lambda function runs one piece of logic and doesn’t track overall workflow state; CloudWatch Events (EventBridge) routes events or schedules tasks but doesn’t orchestrate multi-step flows; Fargate runs containers and isn’t built for orchestrating serverless steps.

Coordinating multiple serverless steps requires an orchestrator that maintains state across tasks and handles progression, retries, and branching. AWS Step Functions provides state machines that sequence tasks, manage retries and errors, run tasks in parallel, and even map over collections, all while coordinating Lambda functions and other AWS services. This built-in workflow management makes it the natural choice for multi-step serverless workflows, plus it offers a visual representation of the process and clear visibility into execution status. In contrast, a single Lambda function runs one piece of logic and doesn’t track overall workflow state; CloudWatch Events (EventBridge) routes events or schedules tasks but doesn’t orchestrate multi-step flows; Fargate runs containers and isn’t built for orchestrating serverless steps.