Cloud Foundry vs Google App Engine: What are the differences?
What is Cloud Foundry? 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.
What is 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.
Cloud Foundry and Google App Engine belong to "Platform as a Service" category of the tech stack.
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 App Engine provides the following key features:
- Zero to sixty: Scale your app automatically without worrying about managing machines.
- Supercharged APIs: Supercharge your app with services such as Task Queue, XMPP, and Cloud SQL, all powered by the same infrastructure that powers the Google services you use every day.
- You're in control: Manage your application with a simple, web-based dashboard allowing you to customize your app's performance.
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.
According to the StackShare community, Google App Engine has a broader approval, being mentioned in 481 company stacks & 343 developers stacks; compared to Cloud Foundry, which is listed in 8 company stacks and 13 developer stacks.
What is Cloud Foundry?
What is Google App Engine?
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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.
With Cloud Endpoints you can create and deploy mobile backend in one hour or less.
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.
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.
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
App engine fills in the gaps in the increasingly smaller case where it's necessary for us to run our own APIs.
Very easy to make cloud computing of ML models , and use containers like Kubernetes.