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Google Cloud SQL is now Generally Available

Posted by Hemprasad Y. Badgujar on February 19, 2014

Google Cloud SQL is now Generally Available
Cloud SQL
Google Cloud SQL is a fully managed MySQL service hosted on Google Cloud Platform, providing a database backbone for applications running on Google App Engine or Google Compute Engine. Cloud SQL is now Generally Available and features encryption of customer data, a 99.95% uptime SLA, and support for databases up to 500GB in size. Read more or get started
Big Data processing with the Google Cloud Storage Connector for Hadoop
Compute Engine VMs provide a fast and reliable way to run Apache Hadoop. The new Cloud Storage connector for Hadoop lets you focus on your data processing logic instead of managing a cluster and file system. Read more or get started
Google Cloud Platform provides support for HIPAA Covered Entities
To serve developers who want to build healthcare-related applications that comply with Health Insurance Portability and Accountability Act, we’re announcing support for Business Associates Agreements. Read more or contact us
Join us on March 25th for Google Cloud Platform Live
Urs Hölzle, Senior Vice President for Technical Infrastructure, and the engineering leadership of Google Cloud Platform will be hosting a day-long developer summit. We’ll announce a number of new products, features and updates to Google Cloud Platform and showcase the investments we’re making in building the world’s best public cloud. Join us in San Francisco, New York, Seattle, or on YouTube to catch the action. Read more
Running Docker on Compute Engine
Get Programmatic Access to your Billing Data With the New Billing API
Performance advantages of the new Google Cloud Storage connector for Hadoop
Large Akka cluster on Google Compute Engine
Analyzing detailed web analytics data with Google Analytics and Google BigQuery
BigQuery, Python, Pandas and R for data science
PHP App Engine apps and file system concepts
A better way to explore and learn on Github
The Google Cloud Platform Team

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