Amazon SWF vs AWS Step Functions vs Dyn

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Amazon SWF

35
79
+ 1
0
AWS Step Functions

240
390
+ 1
31
Dyn

1.7K
109
+ 1
24
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Pros of Amazon SWF
Pros of AWS Step Functions
Pros of Dyn
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    • 7
      Integration with other services
    • 5
      Easily Accessible via AWS Console
    • 5
      Complex workflows
    • 5
      Pricing
    • 3
      Scalability
    • 3
      Workflow Processing
    • 3
      High Availability
    • 6
      API
    • 5
      Managed DNS
    • 5
      Web interface
    • 4
      Security
    • 3
      Customer Service Access
    • 1
      Fast

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    What is Amazon SWF?

    Amazon Simple Workflow allows you to structure the various processing steps in an application that runs across one or more machines as a set of “tasks.” Amazon SWF manages dependencies between the tasks, schedules the tasks for execution, and runs any logic that needs to be executed in parallel. The service also stores the tasks, reliably dispatches them to application components, tracks their progress, and keeps their latest state.

    What is AWS Step Functions?

    AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.

    What is Dyn?

    An all-in-one Managed DNS service for your registered domain names. Dyn DNS is the perfect solution for your domain name’s DNS needs, whether it is for personal or business use. It gives you complete control over your DNS zone and its associated DNS records, complete with a simple DNS management web interface.

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    What companies use Amazon SWF?
    What companies use AWS Step Functions?
    What companies use Dyn?

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    What tools integrate with Amazon SWF?
    What tools integrate with AWS Step Functions?
    What tools integrate with Dyn?

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    What are some alternatives to Amazon SWF, AWS Step Functions, and Dyn?
    Celery
    Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
    Airflow
    Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
    Amazon SQS
    Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
    Postman
    It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
    Postman
    It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
    See all alternatives