Blog of our latest news, updates, and stories for developers
Create a blog on App Engine with Django and Google Cloud SQL
Thursday, February 20, 2014
This guest post was written by
Massimiliano Pippi
, Sr. Software Engineer,
Evonove
Python developers have been using
Django
for a many years, most notably through
django-nonrel
, a fork of the original project that adds support for NoSQL databases. In 2012, Google App Engine 1.6.2 was released, with direct support for official Django releases and
Google Cloud SQL
.
Now that App Engine works with Django, you can deploy fairly complex web apps together with packages and middleware that use Django’s
ORM
. For example, with a little help from applications like
Django Appengine Toolkit
, which abstracts part of the Google Cloud configuration, you can
deploy a fully functional blog in minutes
.
These days there don’t seem to be many in the Django community taking advantage of App Engine integration, but I think it’s a good time for that to change. The brand new
Cloud Console
and the
gCloud tool
, new services like Cloud SQL and the efforts in supporting the Python SDK can make the life of a Djangonaut a lot easier on Google Cloud platform. We’re all looking forward to continued improvement in the client libraries and docs, but the current tools make it worthwhile to use right now.
With a little code we can get very close to something like “one click deploy”
.
See
this post
for details.
Massimiliano Pippi
spends his day at work writing code, mostly Python, and experimenting with the whole stack of web applications, trying to stretch his skills in different directions. Open source fan and contributor, he is a passionate and active community member.
Posted by
Scott Knaster
, Editor
Google Cloud SQL now Generally Available with an SLA, larger databases up to 500GB, and encryption
Tuesday, February 11, 2014
By Joe Faith, Product Manager
Cross-posted from the
Google Cloud Platform Blog
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
. Today, we are announcing Cloud SQL is generally available (GA), now with: encryption of customer data, a 99.95% uptime SLA, and support for databases up to 500GB in size.
Secure Encrypted Data
Cloud SQL data is now automatically encrypted. This adds to the existing security and reliability features, including:
Customer data, including in database tables and temporary files, is automatically stored encrypted (with encryption of backups coming soon).
All Cloud SQL traffic on Google’s internal networks is encrypted.
External connections can be
encrypted using SSL
.
All hosts and Google App Engine applications connecting to your instance must be explicitly authorized.
MySQL user grants can be used to control access at the database, table, or even column level.
Data is replicated multiple times in multiple locations.
Scheduled backups are automatically taken by default.
Larger databases
All Cloud SQL instances can now store up to 500GB, from our smallest D0 instance costing just $0.025 per hour up to D32 instances with 16GB of RAM. Your data is replicated multiple times in multiple zones and automatically backed up, all included in the price of the service. And you only pay for the storage that you actually use, so you don’t need to reserve this storage in advance.
SLA for availability
Replicated storage means we can guarantee 99.95% availability of the service. And because even a reduced service is not acceptable for many applications, we have set a high bar for availability: for example, we regard a single minute of just 20% connection failure as a downtime. See the
SLA
for more details.
Developer traction
Cloud SQL has seen some great developer traction, with a range of businesses relying on it for core applications:
Costco
uses Google Compute Engine and Cloud SQL to run public e-commerce sites. As Don Burdick, Senior Vice President of Global Ecommerce at Costco, says, “Costco is the world's leading membership club warehouse with annual sales exceeding $100B. As part of our philosophy to keep costs down and pass savings on to our members, in June 2013 we implemented our ecommerce site for Mexico on Google Cloud Platform. The site has been operational since October 2013 and the Google Cloud Platform performance has exceeded our expectations. As a result of this project's success, we're currently migrating the website of one of our other countries to Google Cloud Platform.”
LiveHive
is a social selling application used by 25,000+ sales professionals. Fritz Mueller, Vice President of Products says, "We found Google's Cloud SQL service to be an ideal combination of performance and convenience. Performance is key to us because we provide our customers with real-time data about their sales execution. With Google's Cloud SQL, we focus on building the functionality our customers want without worrying about reliability, scalability and upgrades."
Ocado
manages logistics and e-commerce for some of the largest supermarkets in the UK. General Manager James Donkin says, “We're excited about the flexibility Cloud SQL brings to support quick development cycles that foster innovation, while scaling easily when required.”
Mark Kornfilt, co-founder of Live video streaming platform
LiveStream
, said “Thanks to Google App Engine and Cloud SQL, we were able to go from a new product concept to its launch in less than two months. This allows us to focus on building the product instead of worrying about operations, and provides all the tools needed to build a robust, reliable and scalable web app out of the box.”
Try it now
Learn more about Google Cloud SQL and try it now
here
.
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
Google Cloud SQL is now accessible from just about any application, anywhere
Wednesday, October 30, 2013
By Joe Faith, Product Manager
Cross-posted from the
Google Cloud Platform Blog
Google Cloud SQL
is a fully managed MySQL service hosted on Google Cloud Platform. Today, we are embracing open standards and expanding customers’ choice of tools, technologies and architectures by adding support for
native MySQL connections
.
MySQL Wire Protocol is the standard connection protocol for MySQL databases. It lets you access your replicated, managed, Cloud SQL database from just about any application, running anywhere. Here are some of the top features enabled by the MySQL Wire Protocol:
Low latency connections from applications running on
Google Compute Engine
and
Google App Engine
Use all your favourite tools such as
MySQL Workbench
,
Toad
and the
MySQL command-line tool
to manage your Cloud SQL instances
Use
standard drivers
, such as Connector/J, Connector/ODBC, and Connector/NET, making it exceptionally easy to access Cloud SQL from most applications
Replication to external MySQL databases for low latency connections and easy migration
Native connectivity also gives you great flexibility and control over managing and deploying your cloud databases. For example, you can use
DBMoto
from HiTSW to replicate data between Cloud SQL and on-premise databases -- including Oracle, SQL Server, and DB2. And you can use DBShards from CodeFutures to manage sharding across Cloud SQL instances, and migrate on- and off-cloud with no downtime.
Genoo
, a SaaS provider of online marketing tools, has already put wire protocol support to use. They were outgrowing their existing cloud services provider, but were worried about migrating a live application to another environment. So Kim Albee, Genoo’s founder and President, turned to
DBShards
who used native connectivity to migrate Genoo’s database without any service disruption. She said, "I've been amazed by what Cloud SQL's support for native connections can do. Before this feature, migrating between cloud providers would have been too costly."
You can
read more about how they did it in this case study
, or
learn more about 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
Improve your App Engine skills with Google Developers Academy
Thursday, February 28, 2013
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
Get started at no cost with a faster, larger Cloud SQL database
Thursday, November 8, 2012
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
Pricing plan announced for Google Cloud SQL
Thursday, May 10, 2012
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
Google Plugin for Eclipse now provides richer tooling for Cloud SQL and Google APIs
Friday, May 4, 2012
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
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