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Apex
Apex

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AWS Batch
AWS Batch

20
6
+ 1
0
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Apex vs AWS Batch: What are the differences?

Developers describe Apex as "Serverless Architecture with AWS Lambda". Apex is a small tool for deploying and managing AWS Lambda functions. With shims for languages not yet supported by Lambda, you can use Golang out of the box. On the other hand, AWS Batch is detailed 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.

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

Apex is an open source tool with 7.87K GitHub stars and 573 GitHub forks. Here's a link to Apex's open source repository on GitHub.

- No public GitHub repository available -

What is Apex?

Apex is a small tool for deploying and managing AWS Lambda functions. With shims for languages not yet supported by Lambda, you can use Golang out of the box.

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.
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            What are some alternatives to Apex and AWS Batch?
            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.
            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.
            Cloud Functions for Firebase
            Cloud Functions for Firebase lets you create functions that are triggered by Firebase products, such as changes to data in the Realtime Database, uploads to Cloud Storage, new user sign ups via Authentication, and conversion events in Analytics.
            Google Cloud Functions
            Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running
            Azure Functions
            Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.
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