Amazon Step Functions Documentation

Using Amazon Step Functions, you define your workflows as state machines, which transform complex code into easier to understand statements and diagrams.

Amazon Step Functions provides ready-made steps for your workflow called states that implement basic service primitives for you, which means you can remove that logic from your application. With states, you can pass data to other states and microservices, handle exceptions, add timeouts, make decisions, execute multiple paths in parallel, and more.

Using Amazon Step Functions service tasks, you can configure your Step Functions workflow to call other services of Amazon Web Services China Regions. This includes compute services (Amazon Lambda, Amazon ECS, Amazon EKS, and Amazon Fargate), database services (Amazon DynamoDB), messaging services (Amazon SNS and Amazon SQS), data processing and analytics services (Amazon Athena, Amazon Batch, Amazon Glue, Amazon EMR, and Amazon Glue DataBrew), machine learning services (Amazon SageMaker), and APIs created by Amazon API Gateway.

Amazon Step Functions allow you to coordinate any application that can make an HTTPS connection, regardless of where it is hosted—for example, on Amazon EC2 instances, mobile devices, or on-premises servers.

With Amazon Step Functions, you can coordinate your existing Lambda functions and microservices into robust applications, and rewire them into new compositions.

Amazon Step Functions allows you to keep the logic of your application strictly separated from the implementation of your application. Through this separation of concerns, your workflows gain modularity, simplified maintenance, scalability, and code reuse.

Amazon Step Functions maintains the state of your application during execution, including tracking what step of execution it is in, and storing data that is moving between the steps of your workflow.

You can use Amazon Step Functions to handle errors and exceptions with built-in try/catch and retry, whether the task takes seconds or months to complete. You can automatically retry failed or timed-out tasks, respond differently to different types of errors, and recover gracefully by falling back to designated cleanup and recovery code.

Amazon Step Functions delivers real-time diagnostics and dashboards, integrates with Amazon CloudWatch and Amazon CloudTrail, and logs every execution, including overall state, failed steps, inputs, and outputs.

Amazon Step Functions has built-in fault tolerance and maintains service capacity across multiple Availability Zones in each region to protect applications against individual machine or data center failures. This helps ensure high availability for both the service itself and for the application workflow it operates.

Amazon Step Functions scales the operations and underlying compute to run the steps of your application for you in response to changing workloads. Step Functions scales to help ensure the performance of your application workflow remains consistent as the frequency of requests increases.

Amazon Step Functions adds Express Workflows. Express Workflows support event rates greater than 100,000 per second, enabling you to build high volume, short duration workflows. Express Workflows can coordinate Amazon Lambda function invocations, Amazon IoT Rules Engine actions, and Amazon EventBridge events from over a hundred Amazon Web Services third-party SaaS event sources.

For additional information about service controls, security features and functionalities, including, as applicable, information about storing, retrieving, modifying, restricting, and deleting data, please see https://docs.amazonaws.cn/en_us/. This additional information does not form part of the Documentation for purposes of the Sinnet Customer Agreement for Amazon Web Services (Beijing Region), Western Cloud Data Customer Agreement for Amazon Web Services (Ningxia Region) or other agreement between you and Sinnet or NWCD governing your use of services of Amazon Web Services China Regions.