gwt-gae-book - Project Hosting on Google Code To introduce engineers on how to professionally develop applications using Google Web Toolkit and App Engine by developing a full real application step by step. Rather than writing a full book, gwt-gae-book complements existing online materials in a logical, structured, easy to follow way. With the help of community, this set of guides and samples intends to Introduce engineers to GWT and GAE Show by example best practices for implementing common functionality Complement and heavily reference existing online materials, rather than duplicating existing contents Along the book, we'll develop a full real application used to practically illustrate the concepts explained.
Getting Started: Java - Google App Engine - Google Code
This page contains the following categories of information. Click to jump down: Elastic Web-Scale Computing – Amazon EC2 enables you to increase or decrease capacity within minutes, not hours or days. You can commission one, hundreds or even thousands of server instances simultaneously.
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From Semantic Web Standards Overview RDF is a standard model for data interchange on the Web. RDF has features that facilitate data merging even if the underlying schemas differ, and it specifically supports the evolution of schemas over time without requiring all the data consumers to be changed. RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link (this is usually referred to as a “triple”).
Google I/O offered 90+ sessions featuring highly technical, in-depth content covering a number of technologies and developer products. All videos and slides are available below. Android is the first free, open source, and fully customizable mobile platform. I/O 2010
gwt-gae-book - Project Hosting on Google Code
The main purpose when I started to look at Google App Engine (3 days ago) was to use it as a “CDN for the rest of us”, a way to cache static content (initially) and have this content distributed along all the infrastructure of Google (maybe the most powerful cloud rigth now) What we want?: Create a CDN easy to update and free of charge for static resources (images, css, js)Consume as less bandwidth as possible leveraging the If-Modified-Since/Last-Modified/304 Not Modified model Hands-on: The first approach, of course, was to look on Google for some help, the post of Andreas Krohn helped a lot to start. Blog » How to create a simple but powerful CDN with Google App Engine (GAE)
Using Google App Engine to Extend Yahoo! Pipes | java rants Update: A commenter pointed out that you can from django.utils import simplejson instead of including it. Makes this even easier.
My goal was to archive and display my internet lifestream. My first approach was writing a client for each API of the social networks that I'm in. This turned out to be a complete waste of time and effort. All that I needed after all was a FriendFeed account that would centralize all my feeds. Nuno Mariz Weblog | Blog: "Internet lifestream with Django"
Posted by Nick Johnson | Filed under python, app-engine, datastore, relational-modelling One source of difficulty for people who are used to relational databases - and certain ORMs in particular - is how to handle references and relationships on App Engine. There's two basic questions here: First, what does a relationship entail, in any database system? And second, how do we use them in App Engine? The nature of relationships Modeling relationships in App Engine
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Running Pure Django Projects on Google App Engine - Google App Engine - Google Code
Tech Blog » Develop and deploy Applications using Google App Engine : Tutorial About two years back Google launched a platform that enabled developers to develop and host web applications in Google’s web server. Though Google has offered many APIs for the ease of the programmers, many are reluctant to release their apps in Google’s web sphere. Recently I was talking to a web developer about this and he told me that the interface offered by Google is some what obscure.
Google App Engine for Java: Part 3: Persistence and relationships App Engine for Java seeks to take the worry out of writing a persistence layer for scalable Web applications, but how well does it achieve that aim? In this article, I conclude my introduction to App Engine for Java with an overview of its persistence framework, which is based on Java Data Objects (JDO) and Java Persistence API (JPA). While initially promising, App Engine's Java-based persistence currently has some serious drawbacks, which I explain and demonstrate. You'll learn how App Engine for Java persistence works, what the challenges are, and also what persistence options you have when working with Google's cloud platform for Java developers. As you read the article and work through the examples, you'll want to keep in mind the fact that the App Engine for Java is currently a preview release. While the Java-based persistence may not be all that you could hope for, or need, at present, that could and should change in the future.
Google App Engine Tutorial for Java Copyright © 2009 - 2011 Lars Vogel Google App Engine Tutorial for Java
I’m a front-end engineer slash designer who likes to think he can dabble in code. With my simple side projects I do a passable job and my hacks limps along, most likely inefficiently and always on the verge of breaking, but getting the job (mostly) done. But where I almost always trip up and get lost — in days of hair pulling frustration — is when I’m setting up my local development or live production environment. It’s so difficult to find an accurate, knowledgeable and up-to-date walkthrough for frameworks like Rails or Django that it’s almost comical. And if, by the grace of the server gods, I do finally get something that runs and deploys my code — well now I get to monitor it, keep it updated and running 24/7. Yay! Developing with Google App Engine, Part I
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