AWS Step Functions Express Workflows - Serverless Applications Lens

AWS Step Functions Express Workflows

When you are creating a workflow with AWS Step Functions you will be given two options for the type of workflow that you want to create: Standard or Express.

Standard Workflows are ideal for long-running, durable, and auditable workflows. Standard Workflows can support an execution start rate of over 2K executions per second. They can run for up to a year and you can retrieve the full execution history using the Step Functions API. Standard Workflows employ an exactly-once execution model, where your tasks and states are never started more than once unless you have specified the Retry behavior in your state machine. This makes them suited to orchestrating non-idempotent actions, such as starting an Amazon EMR cluster or processing payments. Standard Workflow executions are billed according to the number of state transitions processed.

Because the Standard Workflows pricing is based on state transitions, try to avoid the pattern of managing an asynchronous job by using a polling loop and prefer instead to use Callbacks or the .sync Service integration where possible. Using Callbacks or the .sync Service integration will most likely reduce the number of state transitions and cost. With the .sync Service integration in particular, you can have Step Functions wait for a request to complete before progressing to the next state. This is applicable for integrated services such as AWS Batch and Amazon ECS.

See diagrams below that describe each scenario:


          Diagram showing a job poller

Figure 36: Job Poller


          Diagram showing a wait for callback

Figure 37: Wait for Callback

For example, pausing the workflow until a callback is received from an external service.


          Diagram showing using the .sync Service Integration and waiting for a Fargate
            task completion

Figure 38: Using the .sync Service Integration and waiting for a Fargate task completion

Express Workflows are ideal for high-volume, event-processing workloads such as IoT data ingestion, streaming data processing and transformation, and mobile application backends. Express Workflows can support an execution start rate of over 100K executions per second. They can run for up to five minutes. Express Workflows can run either synchronously or asynchronously and employ an at-most-once or at-least-once workflow execution model, respectively. This means that there is a possibility that an execution might be run more than once.

Ensure your Express Workflow state machine logic is idempotent and that it will not be affected adversely by multiple concurrent executions of the same input.

Good examples of using Express Workflows is orchestrating idempotent actions, such as transforming input data and storing with PUT in Amazon DynamoDB. Express Workflow executions are billed by the number of executions, the duration of execution, and the memory consumed. There are also cases where combining a Standard and an Express Workflow might offer a good combination of cost optimization and functionality. An example of a combining Standard and Express workflows is shown in the diagram below. More specifically, in the diagram below, the Approve Order Request state might be implemented by integrating with a service like Amazon SQS, and the workflow can be paused while waiting for a manual approval. This type of state would be good fit for a Standard Workflow. Whereas for the Workflow to Update Backend Systems state implementation you can start an execution of an Express Workflow to handle backend updates. Express Workflows can be fast and cost-effective for steps where checkpointing is not required.


          Diagram showing Express and Standard Workflows combined

Figure 39: Express and Standard Workflows combined

In summary, deciding between Express and Standard Workflows largely depends your use case. Consider using Express Workflows for a high throughput system, as Express Workflows will probably be more cost-efficient compared to Standard Workflows for the same level of throughput. In order to be able to determine which type of workflow is best for you, consider the differences in execution semantics between Standard and Express Workflows on top of cost.