AWS Lambda vs Graphcool Framework vs Serverless

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AWS Lambda

15.4K
11.4K
+ 1
411
Graphcool Framework

15
19
+ 1
1
Serverless

1K
940
+ 1
23
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Pros of AWS Lambda
Pros of Graphcool Framework
Pros of Serverless
  • 126
    No infrastructure
  • 81
    Cheap
  • 68
    Quick
  • 57
    Stateless
  • 47
    No deploy, no server, great sleep
  • 9
    AWS Lambda went down taking many sites with it
  • 5
    Easy to deploy
  • 5
    Event Driven Governance
  • 5
    Extensive API
  • 4
    Auto scale and cost effective
  • 3
    VPC Support
  • 1
    Integrated with various AWS services
  • 1
    Fun and quick to get started. Great customer support
  • 12
    API integration
  • 7
    Supports cloud functions for Google, Azure, and IBM
  • 2
    Lower cost
  • 1
    Openwhisk
  • 1
    Auto scale

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Cons of AWS Lambda
Cons of Graphcool Framework
Cons of Serverless
  • 5
    Cant execute ruby or go
  • 0
    Can't execute PHP w/o significant effort
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      - No public GitHub repository available -
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      What is 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.

      What is Graphcool Framework?

      Graphcool is an open-source backend development framework to develop and deploy production-ready GraphQL microservices. The Graphcool Framework is a comprehensive collection of building blocks covering the entire spectrum of developing modern, data-centric GraphQL APIs.

      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.

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      What companies use AWS Lambda?
      What companies use Graphcool Framework?
      What companies use Serverless?

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      What tools integrate with AWS Lambda?
      What tools integrate with Graphcool Framework?
      What tools integrate with Serverless?

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      What are some alternatives to AWS Lambda, Graphcool Framework, and Serverless?
      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.
      AWS Elastic Beanstalk
      Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
      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.
      Google App Engine
      Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
      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.
      See all alternatives