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AWS Batch

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250
+ 1
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LambdaPHP

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AWS Batch vs LambdaPHP: What are the differences?

Developers describe AWS Batch as "Fully Managed Batch Processing at Any Scale". 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. On the other hand, LambdaPHP is detailed as "Host any PHP website on AWS Lambda instantly". Host your website on Aws Lambda with full PHP 7 support (i.e. pay by requests instead of paying a fixed monthly hosting fee).

AWS Batch and LambdaPHP belong to "Serverless / Task Processing" category of the tech stack.

LambdaPHP is an open source tool with 446 GitHub stars and 21 GitHub forks. Here's a link to LambdaPHP's open source repository on GitHub.

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Pros of AWS Batch
Pros of LambdaPHP
  • 3
    Containerized
  • 3
    Scalable
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    Cons of AWS Batch
    Cons of LambdaPHP
    • 3
      More overhead than lambda
    • 1
      Image management
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      - No public GitHub repository available -

      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 LambdaPHP?

      Host your website on Aws Lambda with full PHP 7 support (i.e. pay by requests instead of paying a fixed monthly hosting fee).

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use AWS Batch?
      What companies use LambdaPHP?
        No companies found
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        What tools integrate with AWS Batch?
        What tools integrate with LambdaPHP?
        What are some alternatives to AWS Batch and LambdaPHP?
        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.
        NGINX
        nginx [engine x] is an HTTP and reverse proxy server, as well as a mail proxy server, written by Igor Sysoev. According to Netcraft nginx served or proxied 30.46% of the top million busiest sites in Jan 2018.
        See all alternatives