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  1. Parallel workflow state - AWS Step Functions

    Learn about Passing data between states with variables and Transforming data with JSONata. The Parallel state ("Type": "Parallel") can be used to add separate branches of execution in your state machine. In addition to the common state fields, …

  2. Parallel States Merge the output in Step Function

    Jan 9, 2019 · You can tell AWS step functions to append the output into new (or existing) property in the original input with "ResultPath": "$.ParallelOut" in your parallel state definition, but this is not what you seem to be trying to achieve.

  3. Using Map state in Distributed mode for large-scale parallel

    To set up a large-scale parallel workload in your workflows, include a Map state in Distributed mode. The Map state processes items in a dataset concurrently. A Map state set to Distributed is known as a Distributed Map state. In Distributed mode, the …

  4. AWS Step Functions for Massive Parallel Workflows

    Apr 30, 2023 · In this blog, we will deep dive into the “ Distributed Map ” feature which makes step functions a great option for orchestrating workloads with a high degree of parallelism — even up to ten...

  5. Accelerating workloads using parallelism in AWS Step Functions

    Mar 10, 2021 · In this blog post, you learn how to use AWS Step Functions and parallel processing to complete four hours of work in 60 seconds. You learn how to apply the pattern of decomposition to achieve improved scalability and manageability.

  6. Implementing patterns that exit early out of a parallel state in AWS ...

    Jul 20, 2023 · This blog post explains how to implement patterns in AWS Step Functions that control the break out of a parallel state as soon as a minimum requirement is met. The parallel state usually completes only when all the parallel flows inside it are completed.

  7. Orchestrating Lambda functions with Step Functions - AWS

    The Parallel state executes multiple branches of your workflow simultaneously. Use this when you need to run different functions in parallel, such as generating thumbnails while extracting image metadata. The Inline Map state processes arrays of data with up to 40 concurrent iterations. Use this for small to medium datasets where you need to perform the same operation on each item.

  8. AWS Step Function - Dynamically select branches to run in parallel

    I am working on a solution where a state functions is suppose to fetch the required functions to be completed (based on input) and then needs to trigger those functions in parallel, so that i have a consolidated output in the end. This can be illustrated as below - State Machine Graph.

  9. How to achieve partially dependent parallel flows in AWS Step Functions

    Jul 27, 2023 · In this blog post, we will explore how to achieve partially dependent parallel flows in AWS Step Functions, enabling you to pass data between parallel states during their runtime efficiently.

  10. Step Functions and Dynamic Parallelism | by Ifitzsimmons | AWS

    Aug 28, 2022 · Build Step Functions as a Service using Dynamic Parallelism. Use the CDK to build a State Machine that fits many use cases.

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