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Step-Functions.md

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AWS Step Functions

Step Functions lets you orchestrate multiple AWS services into serverless workflows so you can build and update apps quickly.

Useful Links

Best Practices

  • Use Timeouts to avoid stuck executions
  • Use ARNs instead of passing large payloads
  • Avoid reaching the history quota
  • Handle Lambda service exceptions
  • Avoid latency when polling for activity tasks
  • Choose the right workflow type for your application, Standard or Express

General Notes

  • Allows you to visualize and test your serverless applications
  • Provides a graphical console to arrange and visualize the components of your application as series of steps, making it simple to build and run multistep applications
  • Automatically triggers and tracks each step, retrying when there are errors, so your application executes in order and as expected
  • Logs the state of each step, so when things do go wrong, you can diagnose and debug problems quickly
  • Workflows are defined using JSON-based Amazon States Language
  • Common use cases:
    • Data processing: consolidating data from multiple sources into unified reports, refining and reducing large data sets into useful formats, or coordinating multi-step analytics and machine learning workflows
    • DevOps and IT automation: build tools for CI/CD or even-driven applications that automatically respond to changes in infrastructure
    • E-commerce: automating mission-cricital business process, such as order fulfillment and invetory tracking
    • Web apps: implementing robust user registration processes and sign-on authentication
  • There are two workflow types
    • Standard workflows: default type, should be used when you need long-running, durable and auditable workflows
    • Express workflows: should be used for high-volume, event processing workloads
  • Your state machine executions will behave differently depending on which type you select
    • The type cannot be changed after the state machine has been created