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Cloudify
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Cloudify vs Google App Engine: What are the differences?

Developers describe Cloudify as "Cloud Orchestration and Automation Made Easy". Orchestrate real apps on the cloud with Cloudify, an open source application management framework that allows users to manage even the most complex apps by automating their DevOps processes. On the other hand, Google App Engine is detailed as "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.

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

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What is Cloudify?

Orchestrate real apps on the cloud with Cloudify, an open source application management framework that allows users to manage even the most complex apps by automating their DevOps processes.

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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            What are some alternatives to Cloudify and Google App Engine?
            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.
            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.
            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.
            Ansible
            Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.
            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.
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            Decisions about Cloudify and Google App Engine
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            Reviews of Cloudify 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 Cloudify 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 Cloudify cost?
            How much does Google App Engine cost?
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