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Seo Master present to you:
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2013, By: Seo Master
Seo Master present to you:

We just concluded tonight's Campfire One, where we launched a preview release of Google App Engine, a way for developers to run their web applications on Google's infrastructure. We're still processing the videos from the event, which will be up shortly.

To learn more about Google App Engine, check out the documentation or read the team's announcement on the Google App Engine Blog.2013, By: Seo Master
Seo Master present to you: When I sat down to write this post I decided to glance back at my last post on this blog. One sentence in particular jumped out at me: "...I would never again feel compelled to build an [Object-Relational] Mapping framework in Java." Well, friends, never say never. Now that we've unveiled an early look at Java support for Google App Engine, I'm thrilled to announce the availability of a JDO and JPA implementation for the App Engine datastore under the Apache 2 open source license.

The App Engine datastore is an incredible piece of technology. Based on Google's own Bigtable, it's one of the key reasons App Engine enables developers to write web applications that scale without infrastructure headaches. But, it isn't necessarily what most of us are accustomed to using for persistence. Wouldn't it be lovely if we could use an existing programming model on top of the datastore API? And wouldn't it be even lovelier if that existing programming model simplified the process of porting web applications on and off App Engine?

Fortunately for us Java developers we have not one, but two persistence standards at our disposal, JDO and JPA. And, to make adopting these persistence standards easier, we have the DataNucleus project (formerly JPOX), which provides plugins that connect these standards to various types of datasources. Andy Jefferson, founder of the DataNucleus project, was not only enthusiastic about our effort to add an App Engine plugin to his project, he was also incredibly helpful (thanks Andy!). I hope you're as excited about the results as I am: Standards-based persistence for the App Engine datastore!

Since App Engine for Python launched almost a year ago I've admired not just the applications that have been built by the developer community but the infrastructure as well. Even though the DataNucleus App Engine plugin was developed by Googlers, it uses the public App Engine APIs that are available to everyone. It uses no backdoors or special privileges. Rather, it is merely the first instance of what I hope will be a torrent of Java infrastructure developed for App Engine for Java. Feel free to peruse the code at http://code.google.com/p/datanucleus-appengine. If you find a bug, send us a patch. And if you think you can do better, do better! There's absolutely nothing stopping you.

2013, By: Seo Master
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