What is AppFog?
What is Google App Engine?
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What are the cons of using AppFog?
What are the cons of using Google App Engine?
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Tsuru allows developers the necessary and dreamed autonomy, maintaining the infrastructure department confident and is very business oriented as it improves the time to market with safety. Where is the magic?! It is not just starting to treat people as adults(that is mandatory), you also need a system that automatically recover itself(self-healing) after any mistake, misconfiguration, infrastructure problem, etc and (auto)scale easily as needed. We have it for about 4 years at Globo.com using Tsuru PaaS, one of the most loved projects we maintain, totally opensource, powered by Docker, no vendor lock-in, no comercial version(what we use is what we provide) and very receptive to new contributions, discussions, and fix of serious issues(stop the line mindset). Tsuru manages applications with millions of users with no headaches. The main value is that tsuru allowed a new and desired culture, finally developer can have the freedow they want to deploy(the freedom comes with responsability) - thousands of deploys/month and increasing - with increased stability/availability of ours portals We can finally rest calmally at night and in the weekends, letting tsuru dealing automatically with any operational problem may happen. Try it in your company, you too deserve to be happy! https://tsuru.io https://github.com/tsuru/tsuru
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.
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.