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Some OpenSocial apps can be written entirely with client-side JavaScript and HTML, leveraging the container to serve the page and store application data. In this case, the app can scale effortlessly because the only request hitting your server is for the gadget specification which is typically cached by the container anyway. However, there are lots of reasons to consider using your own server: * Allows you to write code in the programing language of your choice. * Puts you in control of how much application data you can store. * Lets you combine data from users on multiple social networks. * Enables interaction with the OpenSocial REST API. Setting up an OpenSocial app that uses a third party server is fairly simple. There are a few gotchas and caveats, but the real issues come up when your app becomes successful - serving millions of users and sending thousands of requests per second. Apps can grow especially fast on social networks, so before you launch your next social app, you should think about how to scale up quickly if your app takes off. Unfortunately, scaling is a complex problem that's hard to solve quickly and expensive to implement. Luckily, there are several companies that provide cloud computing resources-places you can store data or run processes on virtual machines. These computing solutions manage huge infrastructures so you can focus on your applications and let the "cloud" handle all the requests and data at scale. This tutorial focuses on a simple photo-sharing app that uses a third-party server to host photos and associated metadata. If this app is going to host millions of images and support many requests per second, we won't be able to run it on a single dedicated host. We'll break the app down and analyze the interactions between the OpenSocial App and the back end server. Then we'll implement the app in the cloud, first using Google App Engine, then leveraging Amazon's S3 data storage service. Finally, we'll look at s

Have you signed up to try Google App Engine for Java yet? We were so overwhelmed with the response to our early look at Java support on App Engine that we decided to let more developers in now, without waiting. Thus, we're expanding the early look signups to 25,000 developers, in order to give more of you a chance to try it out. So please sign up, give it a try, and let us know what you think. We've already seen a number of interesting apps built and deployed. Stay tuned for us to point some of the cooler ones out in the coming weeks.

"The entry of the Google App Engine into the "Data Stores in the Cloud" arena on April 7, 2008 increases the number of high-profile Storage as a Service (StaaS?) players to three. Here's are brief highlights of the three entrants' features in the order of their arrival as beta versions" [Note: Not updated since 2008-05-06?]

More than a year old, but still useful...?

Porting Google App Engine (GAE) applications to IBM middleware

A very thorough and in detail comparison of the some of the heavy hitters of the Cloud Computing Industry