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Azure App Service
Azure App Service

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Google App Engine
Google App Engine

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Azure App Service vs Google App Engine: What are the differences?

Azure App Service: Build, deploy, and scale web apps on a fully managed platform. Quickly build, deploy, and scale web apps created with popular frameworks .NET, .NET Core, Node.js, Java, PHP, Ruby, or Python, in containers or running on any operating system. Meet rigorous, enterprise-grade performance, security, and compliance requirements by using the fully managed platform for your operational and monitoring tasks; Google App Engine: Build web applications on the same scalable systems that power Google applications. 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.

Azure App Service and Google App Engine belong to "Platform as a Service" category of the tech stack.

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What is Azure App Service?

Quickly build, deploy, and scale web apps created with popular frameworks .NET, .NET Core, Node.js, Java, PHP, Ruby, or Python, in containers or running on any operating system. Meet rigorous, enterprise-grade performance, security, and compliance requirements by using the fully managed platform for your operational and monitoring tasks.

What is 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.
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Why do developers choose Azure App Service?
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        What tools integrate with Azure App Service?
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        What are some alternatives to Azure App Service and Google App Engine?
        Azure Service Fabric
        Azure Service Fabric is a distributed systems platform that makes it easy to package, deploy, and manage scalable and reliable microservices. Service Fabric addresses the significant challenges in developing and managing cloud apps.
        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.
        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.
        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.
        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.
        See all alternatives
        Decisions about Azure App Service and Google App Engine
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        Reviews of Azure App Service and Google App Engine
        Review ofGoogle App EngineGoogle App Engine

        With Cloud Endpoints you can create and deploy mobile backend in one hour or less. And it is free (until you need extra scale). I would not recommend to use Java - python is faster and has all new appengine features.

        Pros: everything is in one place: task queue, cron, backend instances for data processing, datastore, mapreduce. Cons: you cannot easily move your code from GAE. Even with special 3rd party services.

        Review ofGoogle App EngineGoogle App Engine

        With Cloud Endpoints you can create and deploy mobile backend in one hour or less.

        How developers use Azure App Service and Google App Engine
        Avatar of Casey Smith
        Casey Smith uses Google App EngineGoogle App Engine

        PaaS for back-end components, including external data ingestion APIs, front-end web service APIs, hosting of static front-end application assets, back-end data processing pipeline microservices, APIs to storage infrastructure (Cloud SQL and Memcached), and data processing pipeline task queues and cron jobs. Task queue fan-out and auto-scaling of back-end microservice instances provide parallelism for high velocity data processing.

        Avatar of Lawrence Cheuk
        Lawrence Cheuk uses Google App EngineGoogle App Engine

        checking a swap require a lot of cpu resource, roster normally come out same day of month, every month, at a particular time. Which make very high spike, our flag ship product, iSwap, with the capability looking swap possibility with 10000 other rosters base on user critieria, you need a cloud computing give you this magnitude of computing power. gae did it nicely, user friendly, easy to you, low cost.

        Avatar of CommentBox.io
        CommentBox.io uses Google App EngineGoogle App Engine

        App engine fills in the gaps in the increasingly smaller case where it's necessary for us to run our own APIs.

        Avatar of Abhijeet Gokar
        Abhijeet Gokar uses Google App EngineGoogle App Engine

        Very easy to make cloud computing of ML models , and use containers like Kubernetes.

        Avatar of Vamsi Krishna
        Vamsi Krishna uses Google App EngineGoogle App Engine

        Cloud instances to run our app, Cloud MySQL , Network Load Balancer

        How much does Azure App Service cost?
        How much does Google App Engine cost?
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