MatrixAdapt | Logiciel de gestion d'Entreprise, Création et référencement des sites web

Seo Master present to you: 2013, By: Seo Master

Seo Master present to you: By Artem Livshits, CEO of OblakSoft

This guest post was written by Artem Livshits, CEO of OblakSoft, which makes the ClouSE MySQL storage engine for cloud development. In this post, Artem describes his experience using Google Cloud Storage to store and serve a WordPress blog.


WordPress is popular blogging software used by over 60 million people. If you have a WordPress blog, you want to ensure that your server load is manageable and that your load times are fast. You also want your data to be protected in case your server fails. With that in mind, we at OblakSoft created the Cloud Storage Engine for MySQL (ClouSE). It stores all your WordPress data on Google Cloud Storage, taking the load off your server to improve reliability and speed, and to reduce hosting costs.

We’ve been very impressed with the performance of Google Cloud Storage. Because it’s built on Google’s infrastructure, storage objects are cached within Google’s global network and distributed globally without the need for a Content Distribution Network (CDN). This ensures content is delivered with the best possible performance.

Here is a high-level architectural diagram of a WordPress-powered website that uses Google Cloud Storage to store and serve content:


The website’s content management is done through WordPress, which uses a MySQL server to store the website’s data. It uses the WP2Cloud WordPress plugin we created to upload pictures (and other media files) to Google Cloud Storage. ClouSE makes the web server stateless by storing all data in Google Cloud Storage using the Google Cloud Storage API. Web pages (lightweight HTML) are served by WordPress, while media files are served by Google Cloud Storage directly.

WordPress is one example of a MySQL-based application that can take full advantage of Google Cloud Storage to:

• Keep the data highly available and highly durable.
• Serve media files in a highly scalable fashion.
• Distribute media files across the globe for fast access.

This solution works with any hosting provider, so our users can keep their current hosting arrangement, and move their data to Google Cloud Storage using WP2Cloud and ClouSE. Users who are limited preview customers of Google Compute Engine can get started immediately using a fully configured WordPress image that we created.

We’re very excited about the potential of the Google Cloud Platform to power dynamic web server applications. Launch your own WordPress site in the cloud today - it’s easy and there’s minimal setup. We found it easy to make ClouSe work with Google Cloud Storage, and you can see how you can integrate Google Cloud Storage into your app as well.


Artem Livshits is the Founder, CEO and software architect at OblakSoft, a company focusing on technologies that simplify adoption of cloud computing. Previously Artem led the development of several server products from inception to maturity during his 12 years at Microsoft, including the source control system managing most of the Microsoft code base.

Posted by Scott Knaster, Editor

2013, By: Seo Master

Seo Master present to you:
By Jessie Jiang, Product Management Director

(Cross-posted on the Official Google Enterprise Blog.)

We're constantly making updates to our Google Cloud Platform products—Google App Engine, Cloud Storage, Big Query, Compute Engine and others—based on user feedback and to improve the overall experience. For example, two weeks ago we introduced a major update to Google Cloud SQL providing faster performance, larger databases (100GB), an EU zone, and a no-cost trial. But, we know there is more to do. Today, we’re continuing to improve the platform with new storage and compute capabilities, significantly lower prices, and more European Datacenter support.

Lower storage prices and new Durable Reduced Availability (DRA) Storage

Updated 3:23 PM to provide more details about DRA. To give you more flexibility in your storage options and prices, we’re reducing the price of standard Google Cloud Storage by over 20% and introducing a limited preview of Durable Reduced Availability (DRA) storage. DRA storage lowers prices by reducing some data availability, while maintaining the same latency performance and durability as standard Google Cloud Storage. This makes it a great option for batch compute jobs that can easily be rescheduled or for data backup where quick access to your data is important. DRA achieves cost savings by keeping fewer redundant replicas of data. Unlike other reduced redundancy cloud storage offerings, DRA is implemented in a manner that maintains data durability so you don't have to worry about losing your data in the cloud.


And, to automatically keep a history of old versions of your data, we’re introducing Object Versioning. You can also use it to help protect against deleting or overwriting your data by mistake or due to an application error.

More European Datacenter support
We are continuing to roll out our European Datacenter support. Now, customers using Google App Engine, Google Cloud Storage, Google Cloud SQL and (soon) Google Compute Engine can deploy their applications, data and virtual machines to European Datacenters. This helps bring your solutions even closer to your customers for faster performance and enables international redundancy.

36 New Compute Engine instance types and overall reduced prices
Earlier this year we introduced a Limited Preview of Google Compute Engine with four standard instance types. Today, we are announcing 36 additional instance types and are reducing the price of our original 4 standard instances by about 5% for those currently in our preview. In the coming weeks, the following will be available:

• High Memory Instance - High performance instances tailored for applications that demand large amounts of memory.
• High CPU Instance - Reduced cost option when applications don’t require as much memory.
• Diskless Configurations - Lower cost options for applications that do not require ephemeral disk and can exclusively utilize persistent disk.

We are also introducing Persistent Disk Snapshotting which makes it simple to instantly create a backup of your disk, move it around Google datacenters, and use the snapshot to start up a new VM.

We want to thank you, the community of developers and businesses who are pushing the platform into new areas and building innovative applications. We look forward to seeing where you take it next. Find out more about the new Cloud Storage pricing and Compute Engine instances. Sign up now and get started today.


Jessie Jiang is the Product Management Director, Google Cloud Platform. She is passionate about building the best platform for developers and businesses in the cloud.

Posted by Scott Knaster, Editor

2013, By: Seo Master

Seo Master present to you:
By Craig McLuckie, Product Manager, Google Compute Engine

Over the years, Google has built some of the most high performing, scalable and efficient data centers in the world by constantly refining our hardware and software. Since 2008, we've been working to open up our infrastructure to outside developers and businesses so they can take advantage of our cloud as they build applications and websites and store and analyze data. So far this includes products like Google App Engine, Google Cloud Storage, and Google BigQuery.

Today, in response to many requests from developers and businesses, we're going a step further. We're introducing Google Compute Engine, an Infrastructure-as-a-Service product that lets you run Linux Virtual Machines (VMs) on the same infrastructure that powers Google. This goes beyond just giving you greater flexibility and control; access to computing resources at this scale can fundamentally change the way you think about tackling a problem.

Google Compute Engine offers:

• Scale. At Google we tackle huge computing tasks all the time, like indexing the web, or handling billions of search queries a day. Using Google's data centers, Google Compute Engine reduces the time to scale up for tasks that require large amounts of computing power. You can launch enormous compute clusters - tens of thousands of cores or more.
• Performance. Many of you have learned to live with erratic performance in the cloud. We have built our systems to offer strong and consistent performance even at massive scale. For example, we have sophisticated network connections that ensure consistency. Even in a shared cloud you don’t see interruptions; you can tune your app and rely on it not degrading.
• Value. Computing in the cloud is getting even more appealing from a cost perspective. The economy of scale and efficiency of our data centers allows Google Compute Engine to give you 50% more compute for your money than with other leading cloud providers. You can see pricing details here.

The capabilities of Google Compute Engine include:

• Compute. Launch Linux VMs on-demand. 1, 2, 4 and 8 virtual core VMs are available with 3.75GB RAM per virtual core.
• Storage. Store data on local disk, on our new persistent block device, or on our Internet-scale object store, Google Cloud Storage.
• Network. Connect your VMs together using our high-performance network technology to form powerful compute clusters and manage connectivity to the Internet with configurable firewalls.
• Tooling. Configure and control your VMs via a scriptable command line tool or web UI. Or you can create your own dynamic management system using our API.

At launch, we have worked with a number of partners - such as RightScale, Puppet Labs, OpsCode, Numerate, Cliqr and MapR - to integrate their products with Google Compute Engine. These partners offer management services that make it easy for you to move your applications to the cloud and between different cloud environments.

You can learn more about Google Compute Engine here. We’re going to pace ourselves and start with Google Compute Engine in limited preview (sign up here), but our goal is to give you all the pieces you need to build anything you want in the cloud. Whether you need a platform like Google App Engine, or virtual machines like Google Compute Engine, these days, you define your limits. We’re just at the start of what the cloud can do.


Craig McLuckie is the Product Management Lead for Google Compute Engine. He spends his days working with an amazing engineering team to open Google’s infrastructure to the world.

Posted by Scott Knaster, Editor

2013, By: Seo Master

Seo Master present to you:

Ville

Navneet

By Navneet Joneja, Product Manager,
and Ville Aikas, Technical Lead

When evaluating options for cloud storage, customers often wonder, "How can we optimize our storage to get the highest performance possible?". We believe you shouldn't have to, so we do all the optimization for you – enabling you to focus on your application instead of the minutiae of storage optimization.

The performance of cloud storage services (and indeed most web services) depends on two main factors: the network that moves the data between us and the end user, and the performance of the storage service itself.

1. Network

When you make a request to Google Cloud Storage, one of the key determinants of performance is the network path between you and our servers. This path is critical because if the network is slow or unreliable, it doesn’t really matter how fast the backend is.

There are two main ways to make the network faster:

• Serve the request from as close to the user as possible
• Optimize the network routing between the end-user and the service, including avoiding pockets of network congestion and minimizing the number of network hops between the user and the service.

2. Storage

The other component of system performance is how quickly our servers process your request. The data needs to be managed optimally and once an end-user’s request reaches our servers, we need to serve the request as fast as possible. In a sense, Google Cloud Storage is a gigantic filesystem: authorization checks need to happen, the object in question needs to be looked up, and the data requested needs to be read from the physical storage medium and transferred to the end user, all as efficiently as possible.

So, how do we make sure your requests are served as fast as possible?

• Google Cloud Storage is built on Google’s proprietary network and datacenter technology. We’ve spent more than a decade building out proprietary infrastructure and technology to power Google’s sites (after all, we believe that fast is better than slow). When you use Google Cloud Storage, the same network goes to work for your data.
• We replicate data to multiple data centers and serve an end-user’s request from the nearest data center that holds a copy of the data. We also offer a choice of regions (currently U.S. and Europe) to allow you to keep your data close to where it’s most needed. We then take this one step further. When you upload an object and mark it as cacheable (by setting the standard HTTP Cache-Control header), we automatically figure out how best to serve it using Google’s broad network footprint, including caching it closer to the end-user if possible.
• Finally, you don’t need to worry about optimizing your storage layout (like you would on a physical disk), or the lookups (i.e. directory and naming structure) like you would on most file systems and some other storage services. We take care of all the "file system" optimizations behind the scenes.

In other words, when you store your data on Google Cloud Storage, we do all the background work to make it fast so that you can focus on your application.


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.

Ville Aikas likes to work on tools and services that make developers lives easier and "just work". When not busy cranking out code, he loves to play soccer with his kids, build robots and watch F1.

Posted by Scott Knaster, Editor

2013, By: Seo Master

Seo Master present to you:
By Navneet Joneja, Product Manager

Google Cloud Storage enables you to use our storage and network infrastructure to store and access your data with high reliability, scale and performance. Today, we’re launching several frequently requested new features:

Signed URLs and updated browser uploads

Many of you have asked us for "virtual valet keys" that give limited access to specific data to the bearer for a short time, enabling them to implement application-managed access control for mobile applications, premium content distribution, and so on. You can now implement these applications and more using short-lived signed URLs to address any object stored in Google Cloud Storage. This feature gives your application another powerful tool to control access to any piece of data. You can also use this feature to enable browser-based uploads from your end users to Google Cloud Storage without requiring them to have Google accounts (browser-based uploads were previously limited to the interoperable API). URL signing is implemented using PKCS-12 keys and the industry-standard RSA algorithm and is currently experimental.

Cross-Origin Resource Sharing

We now support configuring storage buckets to return appropriate Cross-Origin Resource Sharing (CORS) headers, which streamlines the development of advanced JavaScript applications (such as browser-based games) using Google Cloud Storage. Other uses include serving web fonts from Google Cloud Storage and enabling trusted JavaScript access from your App Engine applications.

gsutil 3.0

We've been hard at work making gsutil easier to use at all levels. This latest release includes significant enhancements:

• A refactored, cleaner code-base
• Better in-tool documentation
• Easy in-place update to new releases
• Multithreaded operations
• A hierarchical file tree abstraction layer that maps more closely to the way traditional file systems are organized.

To try all these features and more, download the latest version of gsutil (zip, tarball). Please note that wildcard and list bucket semantics have changed in gsutil to make the tool easier to use in a broad variety of use cases. You can read all about the latest update in the release notes.

We also recently reduced storage prices across all usage tiers by up to 15%.

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

2013, By: Seo Master

Seo Master present to you: By Julia Ferraioli, Developer Advocate, Google Compute Engine

Cross-posted from the Google Open Source Blog

Today, we’re announcing that you can now find Google Cloud Platform on GitHub! The GitHub organization for the Google Cloud Platform is your destination for samples and tools relating to App Engine, BigQuery, Compute Engine, Cloud SQL, and Cloud Storage. Most Google Cloud Platform existing open source tools will be migrated to the organization over time. You can quickly get your app running by forking any of our repositories and diving into the code.

Currently, the GitHub organization for the Google Cloud Platform has 36 public repositories, some of which are currently undergoing their initial code reviews, which you can follow on the repo. The Google Cloud Platform Developer Relations Team will be using GitHub to maintain our starter projects, which show how to get started with our APIs using different stacks. We will continue to add repositories that illustrate solutions, such as the classic guest book app on Google App Engine. For good measure, you will also see some tools that will make your life easier, such as an OAuth 2.0 helper.

From getting started with Python on Google Cloud Storage to monitoring your Google Compute Engine instances with App Engine, our GitHub organization is home to it all.

Trick of the trade: to find samples relating to a specific platform, try filtering on the name in the “Find a Repository” text field.

We set up this organization not only to give you an easy way to find and follow our samples, but also to give you a way to get involved and start hacking alongside us. We’ll be monitoring our repositories for any reported issues as well as for pull requests. If you’re interested in seeing what a code review looks like for Google’s open source code, you can follow along with the discussion happening right on the commits.

Let us know about your suggestions for samples. We look forward to seeing what you create!


Julia Ferraioli is a Developer Advocate for Google Compute Engine, based in Seattle. She helps developers harness the power of Google's infrastructure to tackle their computationally intensive processes and jobs. She comes from an industrial background in software engineering, and an academic background in machine learning and assistive technology.

Posted by Scott Knaster, Editor

2013, By: Seo Master