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Seo Master present to you: By Joe Faith, Product Manager

Cross-posted with the Official Google Enterprise Blog

You want your applications to be fast, even with millions of users. Anytime your user tries to retrieve information from the app or update settings, it should happen instantly. For the best performance, you need faster, larger databases - especially if you have a growing user base to serve.

Google App Engine is designed to scale. And now Google Cloud SQL—a MySQL database that lives in Google’s cloud—has new features to meet the demand for faster access to more data. With today’s updates, you can now work with bigger, faster MySQL databases in the cloud:

• More Storage: We’re increasing the available storage on Cloud SQL to 100GB – ten times more than what used to be available.
  
• Faster Reads: We’re increasing the maximum size of instances to 16GB RAM, a 4 times increase in the amount of data you can cache.
  
• Faster Writes: We’re adding functionality for optional asynchronous replication, which gives the write performance of a non-replicated database, but the availability of a replicated one.
  
• EU datacenter availability: Now you can choose to store your data and run your Cloud SQL database instance in either our US or EU data centers.
  
• Integration with Google Apps Script: We’re making it quick and easy for businesses using Google Apps to use Cloud SQL. Publish and share data with Google Sheets, add data to Google Sites pages or create simple Google Forms without worrying about hosting or configuring servers. 

Introducing a new trial offer 
Many of you have requested a trial offer to test out Cloud SQL. Today, we’re introducing a 6- month trial offer at no charge, effective until June 1, 2013. This will include one Cloud SQL instance with 0.5 GB of storage. Sign up now and get started on Cloud SQL at no cost.


Joe Faith is a Product Manager on the Google Cloud Team. In a previous life he was a researcher in machine learning, bioinformatics, and information visualization, and was founder of charity fundraising site Fundraising Skills.

Posted by Scott Knaster, Editor

2013, By: Seo Master

Seo Master present to you:
By Joe Faith, Product Manager

Google Cloud SQL provides a fully managed database service for Google App Engine applications. Hosted on Google's infrastructure and based on the familiar MySQL database, Google Cloud SQL automatically provisions and maintains your databases, allowing you to focus on your applications and services.

In March, we were delighted to welcome our 10,000th developer on Google Cloud SQL, joining businesses like Daffodil, who halved their development time by building on Google's platform.

Since the preview launch in October 2011, we’ve been busy working on improving the performance, adding features like scheduled backups, and multihoming to increase availability and improve performance. We are also now offering more powerful instances with up to 4GB of RAM. Today, we are announcing our pricing, with two options to choose from:

• For developers who want to try out the service, or who have lightweight applications, we offer a flexible "per use" pricing scheme. For example, you can get started with a cloud hosted MySQL database for around a dollar per month. You pay for just what you use.
• For developers with more traffic, there are package plans that are more economical and help you predict your costs in advance.

We will not start charging for the service until June 12th. Full details of the pricing plans are available here: https://developers.google.com/cloud-sql/docs/billing

Google Cloud SQL is currently in limited preview. If you want to give us a try, start here: https://developers.google.com/cloud-sql/.


Joe Faith is a Product Manager on the Google Cloud Team. In a previous life he was a researcher in machine learning, bioinformatics, and information visualization, and was founder of charity fundraising site Fundraising Skills.

Posted by Scott Knaster, Editor

2013, By: Seo Master

Seo Master present to you: By Sriram Saroop, Product Manager

We are pleased to announce the latest release of Google Plugin for Eclipse (GPE 2.6) with improved tooling for Cloud SQL and Google APIs. GPE 2.6 introduces the following features:

• Tooling for using Java Persistence API (JPA) to access Cloud SQL
• Importing the latest Google APIs into your GPE project

Tooling for using Java Persistence API (JPA) to access Cloud SQL

Object-Relational Mapping (ORM) frameworks are very popular in the Java community for accessing relational databases. The Eclipse Web Tools Platform offers a robust set of tools to configure and use JPA with an implementation of your choice. With the new Google Plugin for Eclipse (GPE) 2.6, you can now take advantage of these tools with Cloud SQL and Google App Engine. In any GPE project, JPA can now be enabled and configured as a project facet. The screenshot below shows the JPA facet configuration for a GPE project.



Importing the latest Google APIs into your GPE project

With GPE 2.6, you now have access to all the latest Google APIs at the click of a button within Eclipse. You can now download the latest Google APIs Java client library with the required dependencies to access Google APIs right within your App Engine project using GPE. Update notifications for API version changes will appear in your App Engine project, so you can easily keep your client libraries updated all the time. The screenshot below shows the GPE UI for adding a Google API to a GPE project.



The next time we update the App Engine Engine SDK, you will be happy to see an update notification within Eclipse prompting you to update to the latest SDK.

Please go ahead and install GPE 2.6 by following the instructions here. You can start using the ORM tooling for Cloud SQL and the latest Google APIs for your App Engine projects. We always love to hear your feedback and the GPE group is a great place to share your thoughts.


Sriram Saroop is the Product Manager for the Google Plugin for Eclipse and the Google Admin APIs. He has been a software engineer in his previous life and he is now working toward creating an awesome developer experience for Google products.

Posted by Scott Knaster, Editor

2013, By: Seo Master

Seo Master present to you: By Wesley Chun, Developer Relations Team

Cross-posted with the Google App Engine Blog

Are you developing on App Engine today or interested in learning how to use it? If you've gone through all the great App Engine docs and Getting Started tutorials (Python, Java, or Go) but want to take your App Engine skills a step further, then Google Developers Academy (GDA) is the place to go! We launched GDA this past summer at Google I/O 2012, with content for beginners as well as seasoned developers. What can you find on App Engine in GDA today?


If you’re interested in getting more background on what cloud computing is and where App Engine fits into that ecosystem, then this intro class (Introduction to Google App Engine) is for you. Once you’re done with this class, you’ll be ready to tackle the Getting Started tutorial, and after that, move on to the App Engine 101 in Python class.

While some of the material found in App Engine 101 is similar to what's in the Getting Started tutorial, the 101 class targets developers who skipped the tutorial or completed it at some point in the past but don't want to repeat the exact same thing. The main differences include the following changes to the tutorial's content:

• Use of the Python NDB API
• Jinja2 templates
• Discussion of data consistency and datastore indexes

You can use the relational MySQL-compatible Google Cloud SQL service as an alternative to App Engine's native non-relational datastore. Some applications do require a relational database, especially if you’re porting an existing app that relies on one. In this case, you want to learn about Cloud SQL and how to use it with App Engine. That’s why we have the Using Python App Engine with Google Cloud SQL class.

Of course, Google is best known for search. With App Engine's powerful Search API, you can index not only plain text, but also HTML, atoms, numbers, dates, and locations (lat/long). Getting Started with the Python Search API is a two-part class that will indeed get you started: in the first part of the class, you’ll create an application using a variety of data and learn how to index such data (using "documents"). In Part 2, you’ll learn how to execute queries as well as how to update your indexes when you modify your data.

If variety is what you're after, then look no further than the newest class in GDA: Getting Started with Go, App Engine and Google+ API. You will not only learn how to create an App Engine app using the Go programming language, but also learn how to connect to the Google+ API with the Google APIs Client Library for Go.

These are just a few examples of the types of classes you'll find in GDA. We also have content that features many other Google technologies, including Android, Chrome, YouTube, Maps, Drive, and Wallet. We invite you to swing by for a visit soon.


+Wesley Chun (@wescpy) is author of the bestselling Core Python books and a Developer Advocate at Google, specializing in cloud computing and academia. He loves traveling worldwide to meet Google users everywhere, whether at a developers conference, user group meeting, or on a university campus!

Posted by Scott Knaster, Editor

2013, By: Seo Master