I use the Visual Workflow Editor feature of AWS Step Functions. I mainly work through code and then improve it through the visual aspect. There are two ways to do orchestration: through code and through visual. My main task is to develop flows. I have only implemented AWS Step Functions with AWS services, not with any third-party tools. The integration between AWS Step Functions and other AWS services is excellent, working seamlessly with EventBridge, Glue jobs, and databases. I have not encountered any challenges with customers regarding AWS Step Functions that needed me to find a workaround. The pricing of AWS Step Functions is moderate and not particularly costly. AWS Step Functions is affordable for small, medium, and enterprise businesses as an orchestration tool. I have not used any documentation, manuals, or guides for AWS Step Functions as it's very simple to implement. When help is needed, I consult Stack Overflow or AI for commands. Overall rating for AWS Step Functions: 9 out of 10.
Overall, I would rate AWS Step Functions at least nine out of ten. The technology is robust, but improving the payload size could enhance the product's utility further.
I would rate my experience with this product a ten out of ten. Step Functions obviously cannot solve every problem statement. But it makes sense for a wide range of use cases. Everything has some limitations, but Step Functions has done great. I recommend that others run some test programs first, then move to their actual use case. If they spend two or three days exploring Step Functions, they will get a better grasp of it and ultimately be able to use it for their actual use case.
For Step Functions error handling, one must use function calls and logging for error detection within state machines. Comparatively, AirFlow offers more room for improvement. It's like drag and drop. If you have to scale it, your diagram becomes too big. AWS suggests using a scripting language for easier measurement. I rate the initial step an eight out of ten.
Senior Software Engineer at a tech services company with 11-50 employees
Real User
Top 20
2024-01-29T18:52:00Z
Jan 29, 2024
Orchestrating microservices with Step Functions provides a high-level abstraction for organizing entire workflows. This approach addresses the challenges that arise when working with multiple microservices simultaneously. While microservices offer benefits like agility and rapid deployment for small teams, managing numerous microservices can lead to complexity and increased costs. Step Functions offer a solution by providing a higher level of abstraction, allowing for easier orchestration of microservices. This abstraction simplifies the management and coordination of microservices, potentially reducing costs and streamlining development efforts. My advice for anyone considering implementing AWS Step Functions is to start by familiarizing themselves with the user interface rather than attempting to read the entire documentation at once. AWS provides an intuitive and user-friendly UI, making it easy to navigate. However, it's essential to understand the underlying concepts and rationale behind using Step Functions. I recommend taking the time to explore the documentation and understand why this technology exists, its purpose, and the alternatives available. Once you have a clear understanding, start with small practical steps, such as creating a basic workflow and observing the JSON structure generated. Focus on comprehending how data flows through the workflow, as this is the core aspect of Step Functions. Overall, I would rate it nine out of ten.
The solution has a good interface and performance speed. I rate it a ten out of ten. I advise others to use the solution if they have to split their logic into a series of multiple lambda functions. It works better than Lambda functions in terms of orchestrating and managing parallel processing.
I rate this solution a seven out of ten. Regarding advice, you need to make sure of the changing workloads if you are trying to scale your operations. There is an underlying compute to run the number of steps your application needs for the workload. So we need to ensure the performance of our application, no matter the frequency of those requests increasing. Before starting anything on Amazon Step Functions, that needs to be part of a pre-requisite site. They could have API actions and new AWS SDK service integrations in the next release. So I think those are some things that I would make sure of.
I recommend speaking to a consultant if you are not familiar with workflow managers. Otherwise, it's very easy to understand how a workflow can be composed. I rate it a 9 out of 10.
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,...
I use the Visual Workflow Editor feature of AWS Step Functions. I mainly work through code and then improve it through the visual aspect. There are two ways to do orchestration: through code and through visual. My main task is to develop flows. I have only implemented AWS Step Functions with AWS services, not with any third-party tools. The integration between AWS Step Functions and other AWS services is excellent, working seamlessly with EventBridge, Glue jobs, and databases. I have not encountered any challenges with customers regarding AWS Step Functions that needed me to find a workaround. The pricing of AWS Step Functions is moderate and not particularly costly. AWS Step Functions is affordable for small, medium, and enterprise businesses as an orchestration tool. I have not used any documentation, manuals, or guides for AWS Step Functions as it's very simple to implement. When help is needed, I consult Stack Overflow or AI for commands. Overall rating for AWS Step Functions: 9 out of 10.
I would recommend AWS Step Functions to others. Overall, I rate AWS Step Functions an eight out of ten.
Overall, I would rate AWS Step Functions at least nine out of ten. The technology is robust, but improving the payload size could enhance the product's utility further.
Overall, I rate Step Functions nine out of ten. Such ratings are subjective, and I generally do not rate any service a ten out of ten.
I would rate my experience with this product a ten out of ten. Step Functions obviously cannot solve every problem statement. But it makes sense for a wide range of use cases. Everything has some limitations, but Step Functions has done great. I recommend that others run some test programs first, then move to their actual use case. If they spend two or three days exploring Step Functions, they will get a better grasp of it and ultimately be able to use it for their actual use case.
For Step Functions error handling, one must use function calls and logging for error detection within state machines. Comparatively, AirFlow offers more room for improvement. It's like drag and drop. If you have to scale it, your diagram becomes too big. AWS suggests using a scripting language for easier measurement. I rate the initial step an eight out of ten.
Orchestrating microservices with Step Functions provides a high-level abstraction for organizing entire workflows. This approach addresses the challenges that arise when working with multiple microservices simultaneously. While microservices offer benefits like agility and rapid deployment for small teams, managing numerous microservices can lead to complexity and increased costs. Step Functions offer a solution by providing a higher level of abstraction, allowing for easier orchestration of microservices. This abstraction simplifies the management and coordination of microservices, potentially reducing costs and streamlining development efforts. My advice for anyone considering implementing AWS Step Functions is to start by familiarizing themselves with the user interface rather than attempting to read the entire documentation at once. AWS provides an intuitive and user-friendly UI, making it easy to navigate. However, it's essential to understand the underlying concepts and rationale behind using Step Functions. I recommend taking the time to explore the documentation and understand why this technology exists, its purpose, and the alternatives available. Once you have a clear understanding, start with small practical steps, such as creating a basic workflow and observing the JSON structure generated. Focus on comprehending how data flows through the workflow, as this is the core aspect of Step Functions. Overall, I would rate it nine out of ten.
Overall, I would rate Amazon Step Functions as a nine out of ten. It is a great product.
Technically, it's okay, but otherwise, it's Amazon taking all your money if you're not careful. Overall, I would rate the solution a five out of ten.
I rate the overall solution a six out of ten as it needs a receipt feature to function better.
The solution has a good interface and performance speed. I rate it a ten out of ten. I advise others to use the solution if they have to split their logic into a series of multiple lambda functions. It works better than Lambda functions in terms of orchestrating and managing parallel processing.
I rate this solution a seven out of ten. Regarding advice, you need to make sure of the changing workloads if you are trying to scale your operations. There is an underlying compute to run the number of steps your application needs for the workload. So we need to ensure the performance of our application, no matter the frequency of those requests increasing. Before starting anything on Amazon Step Functions, that needs to be part of a pre-requisite site. They could have API actions and new AWS SDK service integrations in the next release. So I think those are some things that I would make sure of.
I recommend speaking to a consultant if you are not familiar with workflow managers. Otherwise, it's very easy to understand how a workflow can be composed. I rate it a 9 out of 10.