Section 27 AWS Step Function

This allows us to model workflows as state machines, one per workflow. It’s useful for order fulfillment, data processing, etc.

This are workflows are written in JSON, and gives you a visualization of the execution, as well as its history.

This is a used to create orchestration of different services, which can be done through a API Gateway, EventBridge, etc.

Task states

Tasks state do some work in your state machine, like invoke one AWS Service or running one activity in a EC2, for example. An example on how it looks is:

"Invoke Lambda function": {
  "Type" : "Task",
  "Resource": "arn:aws:states::lambda:invoke"
  "Parameters": {
    "FunctionName": "arn",
    "Payload": {
    "Input.$": "$"
    }
  },
  "Next": "NEXT_STATE"
  "TimeoutSeconds": 300
}

States types

We have:

Choice State: test for a condition to send to a branch.
Fail or succeed state: stop execution with failure or success.
Pass state: simply pass its input to its output without performing work.
Wait state: provide a delay for a certain amount of time or until a specified time.
Map state: dynamically iterate steps.
Parallel state: begin parallel branches of execution.

Section 27

Table of contents

AWS Step Function

Task states

States types