step-functions

To design an AWS Step Functions state machine, you define states to orchestrate tasks across microservices, utilizing reliable state management to coordinate multi-step workflows and automate complex processes.

You handle errors and retries in Step Functions workflows by applying built-in error handling mechanisms, utilizing retry policies and catchers to manage failures and ensure reliable execution of multi-step processes.

The best way to coordinate a Saga pattern for distributed transactions in AWS is using Step Functions to orchestrate compensating actions across services, ensuring reliable rollback and state management for long-running processes.

You should choose between Standard vs Express workflows in AWS Step Functions by balancing your requirements for observability, workflow duration, and cost, as each type offers distinct trade-offs for long-running processes and high-throughput executions.

Yes, you can implement parallel branches and human-in-the-loop approvals using Step Functions to coordinate complex processes, allowing simultaneous task execution and pausing workflows for manual authorization across microservices.

Yes, Step Functions supports direct integrations with other AWS services for task execution, allowing you to coordinate Lambda invocations and other service endpoints natively without requiring custom code for each connection.