Google Mobile Backend Starter
Google offered one of the first app platforms sold as a metered service: App Engine. Now Google wants to be the mobile back end as well, and to do this, it has bundled together some of its existing cloud infrastructure. Google already had a storage engine with a REST API, an authentication system for your Google log-in, and a messaging system. Turning it into a cohesive mobile product wasn't hard.
The basics for a mobile app can be built with any of these parts. Google's collection of APIs is huge, and it's always been a good start for any app or desktop tool. It's easy to begin storing information in the Google cloud with just a bit of work.
The Mobile Backend is focused more on messaging, authentication, and continuous queries, the last being a tool for dealing with the endless stream of information from the hypersharing world. While the App Engine will accept code in PHP, Python, and Go, all of the examples for the Mobile Backend come as Java.
Digging into these tools was surprisingly onerous. After hours of downloading plug-ins for Eclipse, I couldn't get the libraries and the code into a magic alignment. A big part of the problem was the Google Play Services, the closed source pathway for more and more of what we think of as Google. There will always be debate about the right amount of openness, but I spent hours trying to get the library to install. Part of the problem was that the simulators now come in two flavors: Google and Android. Keep the difference straight because the code won't run on Android alone without Google Play Services.
Google's Mobile Backend API Explorer lets you test and debug your API calls.
The newer features are fascinating and a bit scary. Google wants to compete with some of the newer, seemingly continuous services like Twitter. If you write one of the new continuous queries, you can ask App Engine to search either the past, the future, or both. The searches of the future don't use a time machine; they just sit on the server waiting for new data to be stored. If the new information matches the query, it's pushed out to the client. The documentation notes there's a current limit of 10,000 clients who can be waiting. You won't be spinning up a project as big as Twitter right away, at least until Google deals with this limit.
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