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AWS Batch

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AWS Step Functions

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31
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AWS Batch vs AWS Step Functions: What are the differences?

AWS Batch automates batch computing, while AWS Step Functions coordinates distributed applications and microservices using visual workflows. Let's explore the key differences between them.

  1. Execution Model: AWS Batch is a fully managed service that enables you to run batch computing workloads, while AWS Step functions provide a serverless workflow service to coordinate distributed applications. AWS Batch focuses on managed batch processing and scheduling, while AWS Step Functions provide a flexible way to coordinate and manage various services in a workflow.

  2. Task Scheduling: AWS Batch allows you to schedule individual batch jobs or multi-step workflows using job queues, job definitions, and compute environments, allowing for fine-grained control over job execution. On the other hand, AWS Step Functions provide a visual, low-code way to define and orchestrate complex workflows, allowing for easy integration with various AWS services and custom logic.

  3. Built-in Job Monitoring: AWS Batch provides built-in job monitoring and logging features to track the progress and status of your jobs, allowing you to easily diagnose and troubleshoot any issues. AWS Step Functions also provide monitoring and logging capabilities, but they are more focused on the overall workflow execution rather than the individual tasks or jobs within the workflow.

  4. Retry and Error Handling: AWS Batch allows you to specify maximum retry attempts and define custom retry strategies for individual jobs, ensuring reliable job execution. AWS Step Functions provide built-in error handling and retry mechanisms, allowing you to handle failures and exceptions gracefully within the workflow.

  5. Integration with Services: AWS Batch integrates well with other AWS services like Amazon S3, Amazon DynamoDB, and AWS Lambda, allowing for seamless data transfer and processing between different services. AWS Step Functions also integrate with various AWS services, but their focus is more on coordinating and orchestrating the flow of data and tasks between these services.

  6. Cost Estimation: AWS Batch provides detailed cost estimation and forecasting tools that help you optimize your batch workload costs by analyzing resource utilization and scheduling. AWS Step Functions do not provide specific cost estimation tools, as their pricing is based on the number of state transitions and the execution time of the workflow.

In summary, AWS Batch is focused on managed batch processing and scheduling, while AWS Step Functions provide a serverless workflow service to coordinate distributed applications, with differences including execution model, task scheduling, monitoring, retry mechanisms, integration with services, and cost estimation.

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Pros of AWS Batch
Pros of AWS Step Functions
  • 3
    Containerized
  • 3
    Scalable
  • 7
    Integration with other services
  • 5
    Easily Accessible via AWS Console
  • 5
    Complex workflows
  • 5
    Pricing
  • 3
    Scalability
  • 3
    Workflow Processing
  • 3
    High Availability

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Cons of AWS Batch
Cons of AWS Step Functions
  • 3
    More overhead than lambda
  • 1
    Image management
    Be the first to leave a con

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    What is AWS Batch?

    It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.

    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.

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    What companies use AWS Batch?
    What companies use AWS Step Functions?
    See which teams inside your own company are using AWS Batch or AWS Step Functions.
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    What tools integrate with AWS Batch?
    What tools integrate with AWS Step Functions?
    What are some alternatives to AWS Batch and AWS Step Functions?
    AWS Lambda
    AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
    Beanstalk
    A single process to commit code, review with the team, and deploy the final result to your customers.
    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.
    Kubernetes
    Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
    Serverless
    Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.
    See all alternatives