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Cloud Foundry
Cloud Foundry

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Google AI Platform
Google AI Platform

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Cloud Foundry vs Google AI Platform: What are the differences?

Developers describe Cloud Foundry as "Deploy and scale applications in seconds on your choice of private or public cloud". Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications. On the other hand, Google AI Platform is detailed as "Create your AI applications once, then run them easily on both GCP and on-premises". Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.

Cloud Foundry belongs to "Platform as a Service" category of the tech stack, while Google AI Platform can be primarily classified under "Machine Learning as a Service".

Some of the features offered by Cloud Foundry are:

  • Application and services centric lifecycle API
  • High performance dynamic routing
  • Buildpack support

On the other hand, Google AI Platform provides the following key features:

  • “No lock-in” flexibility
  • Supports Kubeflow
  • Supports TensorFlow

Cloud Foundry is an open source tool with 605 GitHub stars and 532 GitHub forks. Here's a link to Cloud Foundry's open source repository on GitHub.

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What is Cloud Foundry?

Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications.

What is Google AI Platform?

Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.
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        What are some alternatives to Cloud Foundry and Google AI Platform?
        Docker
        The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere
        OpenShift
        OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.
        Kubernetes
        Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
        OpenStack
        OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface.
        Terraform
        With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.
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        Avatar of Giovanni Candido da Silva
        Giovanni Candido da Silva uses Cloud FoundryCloud Foundry

        Easy host and monitor the application on the cloud, using a platform that is hight integrated with Spring Framework, but is also agnostic of technology

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