EPM Practice Manager at a tech services company with 1,001-5,000 employees
Real User
Top 5
2025-04-01T17:53:43Z
Apr 1, 2025
The primary use case was the execution of scripts and data migration related to data lakes. We were using Python and other AWS Step Functions ( /products/aws-step-functions-reviews ).
I use Step Functions for orchestrating several application workflows. Specifically, I often use Step Functions to automate processes requiring multiple steps and for application orchestration. I focus on integrating with multiple AWS services and managing automations.
AWS Step Functions is a useful tool for orchestration, particularly when using various AWS services. It helps create workflows and manage the order between services like Lambda and Glue jobs.
I worked with Step Functions about a year ago for six months. Currently, I don't have any use cases for Step Functions. But overall, I was pretty amazed with it. It has great integration with many AWS services, and if you use it correctly, it could save you a ton of money. Again, it leverages AWS serverless features. If you want to create a workflow to call one Lambda function after another, and other serverless features, it could save you a ton of money. That's for sure.
The major feature of AWS Step Functions is interdependency. Step Functions can determine what action to take next if one step returns a false status based on predefined logic. Step Functions aims to ensure that pipelines or workflows run smoothly by providing a backup function to execute in case of failures.
Senior Software Engineer at a tech services company with 11-50 employees
Real User
Top 20
2024-01-29T18:52:00Z
Jan 29, 2024
I was the second member to join a team tasked with creating a proof of concept. My responsibility was to demonstrate how to orchestrate microservices effectively using AWS Step Functions. Essentially, there are two approaches to orchestrating microservices within AWS: one involves using Step Functions as a master workflow to coordinate various microservices, while the other entails integrating the Amazon Java SDK into your products and using TechTokie to ensure smooth orchestration flow.
I use Amazon Step Functions to visually design and simplify the development of functions, automate various tasks, and coordinate workflows across different AWS services. I also use it to streamline the development of my Azure tool by visually orchestrating Lambda Functions and integrating them with different API services for a more efficient workflow.
Solution Architect at a comms service provider with 11-50 employees
Real User
Top 5
2023-09-14T11:53:33Z
Sep 14, 2023
It is like a workflow to find a sequence of tasks, like in Zapier, Appian, and Camunda. So, our use case was infrastructure-related orchestration. Not application-related infrastructure.
AWS Step Functions integrate seamlessly with other AWS services to offer efficient pipeline and workflow management. Its intuitive design allows for streamlined orchestration, easily handling complex tasks.AWS Step Functions provide robust orchestration and automation capabilities, simplifying the creation of workflows with graphical and JSON-based designs. It excels in managing tasks through advanced parallelization and error handling features. Automatic scaling further enhances performance,...
The primary use case was the execution of scripts and data migration related to data lakes. We were using Python and other AWS Step Functions ( /products/aws-step-functions-reviews ).
I use Step Functions for orchestrating several application workflows. Specifically, I often use Step Functions to automate processes requiring multiple steps and for application orchestration. I focus on integrating with multiple AWS services and managing automations.
AWS Step Functions is a useful tool for orchestration, particularly when using various AWS services. It helps create workflows and manage the order between services like Lambda and Glue jobs.
I worked with Step Functions about a year ago for six months. Currently, I don't have any use cases for Step Functions. But overall, I was pretty amazed with it. It has great integration with many AWS services, and if you use it correctly, it could save you a ton of money. Again, it leverages AWS serverless features. If you want to create a workflow to call one Lambda function after another, and other serverless features, it could save you a ton of money. That's for sure.
The major feature of AWS Step Functions is interdependency. Step Functions can determine what action to take next if one step returns a false status based on predefined logic. Step Functions aims to ensure that pipelines or workflows run smoothly by providing a backup function to execute in case of failures.
I was the second member to join a team tasked with creating a proof of concept. My responsibility was to demonstrate how to orchestrate microservices effectively using AWS Step Functions. Essentially, there are two approaches to orchestrating microservices within AWS: one involves using Step Functions as a master workflow to coordinate various microservices, while the other entails integrating the Amazon Java SDK into your products and using TechTokie to ensure smooth orchestration flow.
I use Amazon Step Functions to visually design and simplify the development of functions, automate various tasks, and coordinate workflows across different AWS services. I also use it to streamline the development of my Azure tool by visually orchestrating Lambda Functions and integrating them with different API services for a more efficient workflow.
It is like a workflow to find a sequence of tasks, like in Zapier, Appian, and Camunda. So, our use case was infrastructure-related orchestration. Not application-related infrastructure.
We use Step Functions to straighten out the events from the event grid.
We use the solution to mostly execute flows that contain parallel processing.
You can use Amazon Step Functions if you want to run multiple ETL jobs or in parallel, where you want to run your source data sets at different times.
In terms of our use case, we are building a pipeline to manage data. It's pretty simple. We validate the data and then write it in the database.