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Chalice
Chalice

21
24
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0
IronWorker
IronWorker

11
9
+ 1
0
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Chalice vs IronWorker: What are the differences?

Developers describe Chalice as "Python Serverless Microframework for AWS (by Amazon)". The python serverless microframework for AWS allows you to quickly create and deploy applications that use Amazon API Gateway and AWS Lambda. On the other hand, IronWorker is detailed as "High-Scale Async Task Processing". IronWorker provides the muscle for modern applications by efficiently isolating the code and dependencies of individual tasks to be processed on demand. Run in a multi-language containerized environment with streamlined orchestration, IronWorker gives you the flexibility to power any task in parallel at massive scale.

Chalice and IronWorker can be primarily classified as "Serverless / Task Processing" tools.

Chalice is an open source tool with 5.75K GitHub stars and 563 GitHub forks. Here's a link to Chalice's open source repository on GitHub.

- No public GitHub repository available -

What is Chalice?

The python serverless microframework for AWS allows you to quickly create and deploy applications that use Amazon API Gateway and AWS Lambda.

What is IronWorker?

IronWorker provides the muscle for modern applications by efficiently isolating the code and dependencies of individual tasks to be processed on demand. Run in a multi-language containerized environment with streamlined orchestration, IronWorker gives you the flexibility to power any task in parallel at massive scale.
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          What are some alternatives to Chalice and IronWorker?
          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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