gwt-gae-book - Project Hosting on Google Code 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.
Seattle Hadoop Meeting: Nov 17th 2011 Posted by Sean | Filed under announcements We will be meeting at the University Heights in room 209 @ 7:15pm. Cluster Deployments, Pig and Python: Chris Henry of Audience Science and the UW Math Dept will talk about automatically provisioning Hadoop clusters locally and in the cloud. Chris Wilkes will present what is new in Pig 0.9.1, including Avro and Jython support Sean Jensen-Grey will cover Python support for Map Reduce Seattle Hadoop
Nick's Blog Posted by Nick Johnson | Filed under electronics , dfpga , open-7400 The winners are out! See the blog post for details. My own entry, the Discrete FPGA is one of the 15(!) Nick's Blog
Getting Started: Java - Google App Engine - Google Code

Elastic Compute Cloud (Amazon EC2)

Elastic Compute Cloud (Amazon EC2) Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers. Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment.
appscale - Project Hosting on Google Code
App Engine Articles - Google App Engine - Google Code
Google App Engine Blog Since this blog's inception, Google App Engine has gone from the primary component of our nascent Cloud Platform to one of the many services we offer developers building in the cloud. In recognition of the growth of the platform in both usage and number of components, it's time to take a more holistic approach to our communications channels. With this in mind, we are introducing a new, comprehensive Google Cloud Platform blog. The Google Cloud Platform blog will be the home for all new App Engine blog content: the release updates, tips and tricks and customer stories you've grown accustomed to finding here. Google App Engine Blog
Google Technology User Groups: About

RDF - Semantic Web Standards

RDF - 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”). Using this simple model, it allows structured and semi-structured data to be mixed, exposed, and shared across different applications.
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) 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. Using Google App Engine to Extend Yahoo! Pipes | java rants
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" 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 Modeling relationships in App Engine
Setup - App Engine Bootcamp
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.
Google App Engine for Java - Tutorial Copyright © 2009 - 2011 Lars Vogel Google App Engine and JPA This article describes the creation of a Java web application on the Google App Engine. It uses JPA. The tutorial is based on Java 1.6, Eclipse 3.6 and GAE version 1.4.2. 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
Run Your Own Free Proxy Through the Google App Engine