Google Cloud Storage Is Out of Labs

 
 
By Darryl K. Taft  |  Posted 2011-10-12 Email Print this article Print
 
 
 
 
 
 
 


 

As of Oct. 11, Google Storage for Developers is out of Labs, and has a new name-Google Cloud Storage, Jiang said. "In addition to leaving Labs, we are announcing several new features. You can now read and write files to Google Cloud Storage via the App Engine Files API. We are also making detailed usage information, including access analytics and storage use data, available to all our customers."

Moreover, "we are lowering the prices for storage and bandwidth across the board," Jiang said. "We are not charging for ingress and introducing volume discounts for our larger users. Depending on your usage patterns, you could save over 40 percent of your monthly bill."

In a separate Oct 11 post, Navneet Joneja, product manager for Google Cloud Storage, said:

"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."

The updated pricing can be found here.

Joneja also said Google has introduced a new, experimental API that gives users access to detailed usage information-including network access and storage use data-that they can use to analyze their usage, integrate with their analysis systems and build their own value-added applications using Google Cloud Storage.

Meanwhile, not only did Google Cloud Storage graduate from Google Code Labs, so has the Google Prediction API, which gives developers access to machine learning in the cloud to build smarter apps. Google announced version 1.4 of its Prediction API, which Jiang says includes two of the most requested features: Predictive Model Markup Language (PMML) v4.01 support and data anomaly detection.

According to Jiang, the Google Prediction API has a variety of use cases, from helping increase fuel economy to creating movie recommendation services. It is hosted in the cloud and is well-suited for integration with developers' Web applications.

"We are enabling our enterprise customers to build business solutions that take advantage of the computing power and scalability of Google's cloud services without all the hassles of deployment of applications," Jiang said. "We have been making great progress on Google App Engine, Cloud Storage and Prediction API. There is more to come, stay tuned."

Google also introduced App Engine File API support, Joneja said. Developers can now read and write their 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," he said. "This feature is experimental and currently Python-only, but we're working on adding Java support and additional features."

Google announced other features and offerings. The company said App Engine now supports Python 2.7. Meanwhile, Google also announced two "trusted tester" programs. One is for the Full-Text Search API-fill out this form if interested in trying it out. The other is program is for Google's Conversion API, which allows for the conversion of text to PDF in an application, Google officials said. Interested developers can sign up here.

 

 




 
 
 
 
Darryl K. Taft covers the development tools and developer-related issues beat from his office in Baltimore. He has more than 10 years of experience in the business and is always looking for the next scoop. Taft is a member of the Association for Computing Machinery (ACM) and was named 'one of the most active middleware reporters in the world' by The Middleware Co. He also has his own card in the 'Who's Who in Enterprise Java' deck.
 
 
 
 
 
 
 

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