MatrixAdapt | Logiciel de gestion d'Entreprise, Création et référencement des sites web

Seo Master present to you:
By Dan Holevoet, Developer Relations Team

A platform is more than the sum of its component parts. You can read about it or hear about it, but to really learn what makes up a platform you have to try it out for yourself, play with the parts, and discover what you can build.

With that in mind, we started a project called Au-to-do: a full sample application implementing a ticket tracker, built using Google APIs, that developers can download and dissect.


Au-to-do currently uses the following APIs and technologies:

• Google App Engine (with the Python runtime, Datastore API, and Task Queues API)
• Google Cloud Storage
• Google Prediction API
• Google Tasks API
• OAuth 2.0

Additional integrations with Google APIs are on their way. We are also planning a series of follow-up blog posts discussing each of the integrations in depth, with details on our design decisions and best practices you can use in your own projects.

By the way, if you’re wondering how to pronounce Au-to-do, you can say "auto-do" or "ought-to-do" — either is correct.

Ready to take a look at the code? Check out the getting started guide. Found a bug? Have a great idea for a feature or API integration? Let us know by filing a request.

Happy hacking!


Dan Holevoet joined the Google Developer Relations team in 2007. When not playing Starcraft, he works on Google Apps, with a focus on the Calendar and Contacts APIs. He's previously worked on iGoogle, OpenSocial, Gmail contextual gadgets, and the Google Apps Marketplace.

Posted by Scott Knaster, Editor

2013, By: Seo Master

Seo Master present to you:
By Navneet Joneja, Product Manager

Google Cloud Storage is a robust, high-performance service that enables developers and businesses to use Google’s infrastructure to power their data. Today, we’re announcing a new feature that makes it even easier to control and share your data.

Per-Bucket Default Object ACLs

Customers building a wide variety of applications have asked us for an easier mechanism to control the permissions granted on newly created objects. Now you can define your access control policy for a bucket once by specifying a Default Object ACL for any bucket, and we’ll automatically apply that ACL to any object without an explicitly defined ACL. You can always override the default by providing a canned ACL when you upload the object or by updating the object’s ACL afterwards. This mechanism simplifies wide variety of use cases, including data sharing, controlled-access data sets and corporate drop-boxes.

New buckets without Default ACLs

After analyzing how customers use our service, we’ve also decided to make a few small changes to the behavior of buckets that have no explicit default object ACL. Effective today, new buckets are created with an implied project-private default object ACL. In other words, project editors and owners will have FULL_CONTROL access to new objects, and project viewers will have READ access to them. This change better aligns the default behavior with how our customers use storage. You can change a bucket’s default object ACL at any time after creating the bucket.

Existing buckets have an effective default object ACL of "private", and they will continue to work as they always have until and unless you specify a new default object ACL for them.


Navneet Joneja loves being at the forefront of the next generation of simple and reliable software infrastructure, the foundation on which next-generation technology is being built. When not working, he can usually be found dreaming up new ways to entertain his intensely curious one-year-old.

Posted by Scott Knaster, Editor

2013, By: Seo Master

Seo Master present to you:
By Ju-kay Kwek, Product Manager

(Cross-posted on the Google App Engine Blog and the Google Enterprise Blog.)

Rapidly crunching terabytes of big data can lead to better business decisions, but this has traditionally required tremendous IT investments. Imagine a large online retailer that wants to provide better product recommendations by analyzing website usage and purchase patterns from millions of website visits. Or consider a car manufacturer that wants to maximize its advertising impact by learning how its last global campaign performed across billions of multimedia impressions. Fortune 500 companies struggle to unlock the potential of data, so it’s no surprise that it’s been even harder for smaller businesses.

We developed Google BigQuery Service for large-scale internal data analytics. At Google I/O last year, we opened a preview of the service to a limited number of enterprises and developers. Today we're releasing some big improvements, and putting one of Google's most powerful data analysis systems into the hands of more companies of all sizes.

• We’ve added a graphical user interface for analysts and developers to rapidly explore massive data through a web application.
• We’ve made big improvements for customers accessing the service programmatically through the API. The new REST API lets you run multiple jobs in the background and manage tables and permissions with more granularity.
• Whether you use the BigQuery web application or API, you can now write even more powerful queries with JOIN statements. This lets you run queries across multiple data tables, linked by data that tables have in common.
• It’s also now easy to manage, secure, and share access to your data tables in BigQuery, and export query results to the desktop or to Google Cloud Storage.

Michael J. Franklin, Professor of Computer Science at UC Berkeley, remarked that BigQuery (internally known as Dremel) leverages “thousands of machines to process data at a scale that is simply jaw-dropping given the current state of the art.” We’re looking forward to helping businesses innovate faster by harnessing their own large data sets. BigQuery is available free of charge for now, and we’ll let customers know at least 30 days before the free period ends. We’re bringing on a new batch of pilot customers, so let us know if your business wants to test drive BigQuery Service.


Ju-kay Kwek is a Product Manager for Google BigQuery Service.

Posted by Scott Knaster, Editor

2013, By: Seo Master

Seo Master present to you:
By Navneet Joneja, Product Manager for Google Cloud Storage

Google Storage for Developers is now out of Code Labs, and has a new name: Google Cloud Storage. In addition, we're also happy to announce some new features, and a significant price reduction.

App Engine File API Support

When we opened the service to all this summer, many of our customers asked for an easier way to use Google Cloud Storage with their App Engine applications. In response to your feedback, you can now read and write your data via the App Engine Files API, enabling you to quickly build your content management tools, data sharing applications, web games and more using the powerful combination of App Engine and Cloud Storage. This feature is experimental and currently Python-only, but we’re working on adding Java support and additional features.

Usage Information

We’re introducing a new API that gives you access to detailed usage information (including network access and storage use data). You can use this feature to analyze your usage, integrate with your analysis systems and build your own value-added applications using Google Cloud Storage. This feature is currently experimental.

Lower Prices

We're no longer charging for upload bandwidth into the Google cloud. In addition, we’re lowering our prices across the board and introducing volume discounts for our larger users. We are committed to offering an extremely high quality of service to all our customers. As the product has evolved, we’ve found ways to offer the same great service at a lower cost, so now our prices are lower too. For example, under our new prices, a customer storing a hundred terabytes of data, reading twenty terabytes and writing ten terabytes a month would pay approximately 40% less a month. The difference is even greater for customers with higher usage. Our new prices are retroactive to the beginning of October. Please see our updated pricing here.

As always, we welcome your feedback in our discussion group. If you haven’t yet tried Google Cloud Storage, you can sign up and get started here.


Navneet Joneja loves being at the forefront of the next generation of simple and reliable software infrastructure, the foundation on which next-generation technology is being built. When not working, he can usually be found dreaming up new ways to entertain his intensely curious one-year-old.

Posted by Scott Knaster, Editor

2013, By: Seo Master