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Google Cloud Run

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Lambdacult

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Google Cloud Run vs Lambdacult: What are the differences?

What is Google Cloud Run? Run stateless HTTP containers on a fully managed environment or in your own GKE cluster. A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

What is Lambdacult? A low-cost alternative to API Gateway for Lambda functions. In our experience, API Gateway is often a major contributor to costs when running serverless APIs on top of AWS Lambda. We want to make it more affordable to call Lambdas over HTTP(S) while also being easier to setup.

Google Cloud Run and Lambdacult can be primarily classified as "Serverless / Task Processing" tools.

Decisions about Google Cloud Run and Lambdacult
Clifford Crerar
Software Engineer at Bidvest Advisory Services · | 9 upvotes · 66.6K views

Run cloud service containers instead of cloud-native services

  • Running containers means that your microservices are not "cooked" into a cloud provider's architecture.
  • Moving from one cloud to the next means that you simply spin up new instances of your containers in the new cloud using that cloud's container service.
  • Start redirecting your traffic to the new resources.
  • Turn off the containers in the cloud you migrated from.
See more
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Pros of Google Cloud Run
Pros of Lambdacult
  • 11
    HTTPS endpoints
  • 10
    Fully managed
  • 10
    Pay per use
  • 7
    Concurrency: multiple requests sent to each container
  • 7
    Deploy containers
  • 7
    Serverless
  • 6
    Custom domains with auto SSL
  • 4
    "Invoke IAM permission" to manage authentication
  • 0
    Cons
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    What is Google Cloud Run?

    A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

    What is Lambdacult?

    In our experience, API Gateway is often a major contributor to costs when running serverless APIs on top of AWS Lambda. We want to make it more affordable to call Lambdas over HTTP(S) while also being easier to setup.

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

    What companies use Google Cloud Run?
    What companies use Lambdacult?
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      See which teams inside your own company are using Google Cloud Run or Lambdacult.
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      What tools integrate with Google Cloud Run?
      What tools integrate with Lambdacult?

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      What are some alternatives to Google Cloud Run and Lambdacult?
      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.
      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 Fargate
      AWS Fargate is a technology for Amazon ECS and EKS* that allows you to run containers without having to manage servers or clusters. With AWS Fargate, you no longer have to provision, configure, and scale clusters of virtual machines to run containers.
      Heroku
      Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
      Firebase
      Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
      See all alternatives