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Chalice

43
87
+ 1
0
Serverless

1.2K
993
+ 1
23
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Chalice vs Serverless: What are the differences?

Chalice: 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; Serverless: The most widely-adopted toolkit for building serverless applications. 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.

Chalice and Serverless can be categorized as "Serverless / Task Processing" tools.

Chalice and Serverless are both open source tools. It seems that Serverless with 30.9K GitHub stars and 3.43K forks on GitHub has more adoption than Chalice with 5.75K GitHub stars and 563 GitHub forks.

Decisions about Chalice and Serverless

When adding a new feature to Checkly rearchitecting some older piece, I tend to pick Heroku for rolling it out. But not always, because sometimes I pick AWS Lambda . The short story:

  • Developer Experience trumps everything.
  • AWS Lambda is cheap. Up to a limit though. This impact not only your wallet.
  • If you need geographic spread, AWS is lonely at the top.
The setup

Recently, I was doing a brainstorm at a startup here in Berlin on the future of their infrastructure. They were ready to move on from their initial, almost 100% Ec2 + Chef based setup. Everything was on the table. But we crossed out a lot quite quickly:

  • Pure, uncut, self hosted Kubernetes — way too much complexity
  • Managed Kubernetes in various flavors — still too much complexity
  • Zeit — Maybe, but no Docker support
  • Elastic Beanstalk — Maybe, bit old but does the job
  • Heroku
  • Lambda

It became clear a mix of PaaS and FaaS was the way to go. What a surprise! That is exactly what I use for Checkly! But when do you pick which model?

I chopped that question up into the following categories:

  • Developer Experience / DX 🤓
  • Ops Experience / OX 🐂 (?)
  • Cost 💵
  • Lock in 🔐

Read the full post linked below for all details

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Pros of Chalice
Pros of Serverless
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    • 12
      API integration
    • 7
      Supports cloud functions for Google, Azure, and IBM
    • 2
      Lower cost
    • 1
      Openwhisk
    • 1
      Auto scale

    Sign up to add or upvote prosMake informed product decisions

    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 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.

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

    What companies use Chalice?
    What companies use Serverless?
    See which teams inside your own company are using Chalice or Serverless.
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    What tools integrate with Chalice?
    What tools integrate with Serverless?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to Chalice and Serverless?
    Zappa
    Zappa makes it super easy to deploy all Python WSGI applications on AWS Lambda + API Gateway. Think of it as "serverless" web hosting for your Python web apps. That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments!
    Flask
    Flask is intended for getting started very quickly and was developed with best intentions in mind.
    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.
    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.
    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.
    See all alternatives