Blog of our latest news, updates, and stories for developers
Ushering in the next generation of computing at Google I/O
Wednesday, May 15, 2013
By Urs Hölzle, Senior Vice President, Technical Infrastructure, and Google Fellow
Cross-posted from the
Google Cloud Platform Blog
Watch the video of the Cloud track kickoff.
Over the last fourteen years we have been developing some of the best infrastructure in the world to power Google’s global-scale services. With
Google Cloud Platform
, our goal is to open that infrastructure and make it available to any business or developer anywhere. Today, we are introducing improvements to the platform and making
Google Compute Engine
available for anyone to use.
Google Compute Engine - now available for everyone
Google Compute Engine provides a fast, consistently high-performance environment for running virtual machines. Later today, you’ll be able to go online to cloud.google.com and start using Compute Engine.
In addition, we’re introducing new Compute Engine features:
Sub-hour billing
charges for instances in one-minute increments with a ten-minute minimum, so you don’t pay for compute minutes that you don’t use
Shared-core instances
provide smaller instance shapes for low-intensity workloads
Advanced Routing
features help you create gateways and VPN servers, and enable you to build applications that span your local network and Google’s cloud
Large
persistent disks
support up to 10 terabytes per volume, which translates to 10X the industry standard
We’ve also completed ISO 27001:2005 international security certification for Compute Engine,
Google App Engine
, and
Google Cloud Storage
.
Google App Engine adds the PHP runtime
App Engine 1.8.0
is now available and includes a Limited Preview of the
PHP runtime
- your
top requested feature
. We’re bringing one of the most popular web programming languages to App Engine so that you can run open source apps like WordPress. It also offers deep integration with other parts of Cloud Platform including
Google Cloud SQL
and Cloud Storage.
We’ve also heard that we need to make building modularized applications on App Engine easier. We are
introducing
the ability to partition apps into components with separate scaling, deployments, versioning and performance settings.
Introducing Google Cloud Datastore
Google Cloud Datastore
is a fully managed and schemaless solution for storing non-relational data. Based on the popular
App Engine High Replication Datastore
, Cloud Datastore is a standalone service that features automatic scalability and high availability while still providing powerful capabilities such as ACID transactions, SQL-like queries, indexes and more.
Over the last year we have continued our focus on feature enhancement and developer experience across
App Engine
,
Compute Engine,
Google BigQuery
,
Cloud Storage
and
Cloud SQL
. We also introduced
Google Cloud Endpoints
and
Google Cloud Console
.
With these improvements, we have seen increased usage with over 3 million applications and over 300,000 unique developers using Cloud Platform in a given month. Our developers inspire us everyday, and we can’t wait to see what you build next.
Urs Hölzle is Senior Vice President of Technical Infrastructure and Google Fellow. As one of Google's first ten employees and its first VP of Engineering, he has shaped much of Google's development processes and infrastructure.
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 Cloud Storage: concurrency controls and deeper App Engine integration
Tuesday, January 17, 2012
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 store and serve their data. Today, we’re announcing a new feature that gives you greater control over concurrent writes to the same object, and the availability of an App Engine Files API that makes it easier to read and write data from Java App Engine applications.
Write concurrency control
A number of our customers have asked us for greater control over concurrent writes, in order to implement features like strongly consistent write operations and distributed locking semantics in the cloud. In response to your feedback, we’re announcing the release of
version-based concurrency control
. Every time you update an object, it gets assigned a 32-bit, monotonically increasing sequence number. This version number is returned as a header with every GET or HEAD request. You can then use a conditional write operation to manage concurrent updates to the object (for example, when you want read-modify-write semantics). This feature is currently experimental.
AppEngine Files API for Java applications
Last fall, we
announced
the ability to read and write your Google Cloud Storage data using the App Engine Files API for Python applications. Today, we’re making the
Files API available to Java App Engine applications
too. This feature is currently experimental, and we’ll continue to enhance it in the months to come.
As always, we welcome your feedback in our
discussion group
. If you haven’t tried Google Cloud Storage yet, 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 almost-two-year-old.
Posted by
Scott Knaster
, Editor
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