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AppHarbor
AppHarbor

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Google AI Platform
Google AI Platform

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AppHarbor vs Google AI Platform: What are the differences?

What is AppHarbor? Instantly deploy and scale .NET applications. AppHarbor is a fully hosted .NET Platform as a Service. AppHarbor can deploy and scale any standard .NET application to the cloud.

What is Google AI Platform? 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.

AppHarbor can be classified as a tool in the "Platform as a Service" category, while Google AI Platform is grouped under "Machine Learning as a Service".

Some of the features offered by AppHarbor are:

  • You push .NET and Windows code to AppHarbor using Git, Mercurial, Subversion or Team Foundation Server with the complimentary Git service or through integrations offered in collaboration with Bitbucket, CodePlex and GitHub.
  • When AppHarbor receives your code it will be built by a build server. If the code compiles all unit tests contained in the compiled assemblies will be run. The result and progress of the build and unit test status can be monitored on the application dashboard. AppHarbor will call any service hooks that you add to notify you of the build result.
  • If everything checks out the application is deployed and configured on AppHarbor application servers. AppHarbor can scale an application vertically and horizontally within seconds for better request throughout, performance and failover. AppHarbor balance load across all instances running that application. Scaling an application gives higher request thoughput, redundancy in case of instance failure and better performance.

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

  • “No lock-in” flexibility
  • Supports Kubeflow
  • Supports TensorFlow
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What is AppHarbor?

AppHarbor is a fully hosted .NET Platform as a Service. AppHarbor can deploy and scale any standard .NET application to the cloud.

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 AppHarbor and Google AI Platform?
        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.
        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 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.
        Apollo
        Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
        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.
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        Reviews of AppHarbor and Google AI Platform
        Avatar of uygary
        Software Engineer at Viagogo
        Review ofAppHarborAppHarbor

        AppHarbor is an amazing tool for indie developers or startups that are just getting on their feet. To put it short, AppHarbor is the Heroku of .NET, being developer friendly, cost effective and performant.

        Their platform has some nice features including the plugins (integrations with different services such as shared or dedicated RDBMS instances, document repositories, messaging queues, logging and monitoring services, etc.) that are extremely easy to use, and especially integrations with BitBucket and GitHub.

        It's such a pleasure to work with the integrations mentioned, that whenever a developer pushes commits to the selected branch, AppHarbor automatically pulls, updates, builds, runs the unit tests and deploys. The cream of the crop is the fact that even the free tier supports this workflow which is practically a continuous delivery approach. And this makes AppHarbor perfect for startups and independent developers.

        And, for established companies, I have to add the fact that their customer support is quite good.

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