Google Data » Raj Sarkar https://googledata.org Everything Google: News, Products, Services, Content, Culture Fri, 27 Mar 2015 22:49:36 +0000 en-US hourly 1 http://wordpress.org/?v=3.7.5 Google Cloud Storage – more value for performance https://googledata.org/google-enterprise/google-cloud-storage-more-value-for-performance/?utm_source=rss&utm_medium=rss&utm_campaign=google-cloud-storage-more-value-for-performance https://googledata.org/google-enterprise/google-cloud-storage-more-value-for-performance/#comments Thu, 29 Nov 2012 18:32:00 +0000 https://googledata.org/?guid=7b6d619e1b7fab158663ab13ddbe0e30 Posted by Dave Barth, Product Manager

(Cross-posted to Google Developers Blog)

Earlier this week, we announced a collection of improvements across Google Cloud Platform including 36 new Compute Engine instances, Durable Reduced Availability (DRA) storage, Object Versioning, and European datacenter support. We also announced that we are reducing the price of standard Google Cloud Storage by over 20%.  

We are committed to delivering the best value in the marketplace to businesses and developers looking to operate in the cloud.  That’s why today we are reducing the price of Google Cloud Storage by an additional 10%, resulting in a total price reduction of over 30%.  This price reduction applies to all Cloud Storage regions and the new DRA Storage.

Find out more about the new Cloud Storage pricing and sign up now to get started.]]> https://googledata.org/google-enterprise/google-cloud-storage-more-value-for-performance/feed/ 0 Get started at no cost with a faster, larger Cloud SQL database https://googledata.org/google-enterprise/get-started-at-no-cost-with-a-faster-larger-cloud-sql-database/?utm_source=rss&utm_medium=rss&utm_campaign=get-started-at-no-cost-with-a-faster-larger-cloud-sql-database https://googledata.org/google-enterprise/get-started-at-no-cost-with-a-faster-larger-cloud-sql-database/#comments Thu, 08 Nov 2012 19:01:00 +0000 https://googledata.org/?guid=0b5b5cf41acacad3efd89bf58e5285e9 Posted by Joe Faith, Product Manager

(Cross-posted on Google Developers 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.
]]> https://googledata.org/google-enterprise/get-started-at-no-cost-with-a-faster-larger-cloud-sql-database/feed/ 0 Streak powers their business on Google Cloud Platform https://googledata.org/google-app-engine/streak-powers-their-business-on-google-cloud-platform/?utm_source=rss&utm_medium=rss&utm_campaign=streak-powers-their-business-on-google-cloud-platform https://googledata.org/google-app-engine/streak-powers-their-business-on-google-cloud-platform/#comments Tue, 09 Oct 2012 18:00:00 +0000 https://googledata.org/?guid=02e74634733d1b6f9c91796983b00afd
Posted by Aleem Mawani, co-founder of Streak

Editors note: Today’s guest blogger is Aleem Mawani, co-founder of Streak, a startup alum of Y Combinator, a Silicon Valley incubator. Streak is a CRM tool built into Gmail. Aleem shares why Streak chose Google Cloud Platform to run their business.

Everyone relies on email to get work done – yet most people use separate applications from their email to help them with various business processes. Streak fixes this problem by letting you do sales, hiring, fundraising, bug tracking, product development, deal flow, project management and almost any other business process right inside Gmail. We decided to build Streak on Google Cloud Platform to operate at scale, to understand our users and improve the application over time, and to rapidly grow our business.




We chose to build Streak with Google App Engine for many reasons: it can handle tons of load; it requires no maintenance; and it guarantees 99.95% uptime. Streak’s user base grew 30% week over week for 4 consecutive months after launch. Being able to handle the load and data requirements at our scale would have required us to hire a full team of backend engineers just to keep the application running. Instead, the Streak backend on App Engine is built and maintained by a single engineer.

All of our data is stored in the App Engine Datastore, but we also mirror our data using Google Cloud Storage. As a result, Cloud Storage is a conduit to route this data to other Google cloud services, such as BigQuery and the Prediction API.

Last, we use Google BigQuery to better understand our users. It allows us to analyze large amounts of data from our usage logs and query it to answer complex questions such as:

How much does the average request cost broken down by type? How many users are running an old version of Streak? Are there currently any abnormal error rates in our application? On average, if a user is working in a 3 person team, how many deals do they have assigned to them?

We bundle the insights gained from BigQuery and use it to power our dashboards with key business metrics.

One of many Streak dashboards powered by BigQuery showing current usage statistics

When we first launched our business, we had gigabytes worth of data. Now, we anticipate growing to terabytes of data in just a few months. We couldn’t have scaled this easily without Google Cloud Platform. To learn more, check out our case study and our post on the App Engine blog for a detailed technical explaination.
]]> https://googledata.org/google-app-engine/streak-powers-their-business-on-google-cloud-platform/feed/ 0 Google BigQuery updates: Faster, easier and more data formats https://googledata.org/google-enterprise/google-bigquery-updates-faster-easier-and-more-data-formats/?utm_source=rss&utm_medium=rss&utm_campaign=google-bigquery-updates-faster-easier-and-more-data-formats https://googledata.org/google-enterprise/google-bigquery-updates-faster-easier-and-more-data-formats/#comments Mon, 01 Oct 2012 17:14:00 +0000 https://googledata.org/?guid=9ec2257eb37d4def73afba15c8ab7ce4 Posted by Ju-kay Kwek, Product Manager

We know you have a lot of data to work with within your organization, which can present big challenges. Your data can be large in volume and complex in structure. For example, large-scale web applications have millions of users, documents and events to manage. As a result, many engineering teams choose highly scalable NoSQL databases over relational databases. Though this approach is effective in storing and retrieving data, it poses challenges for interactive data analysis.

Today’s release of Google BigQuery tackles these hurdles with several new features:

  • Support for JSON: JSON is used to power most modern websites, is a native format for many NoSQL databases hosting large scale web applications, and is used as the primary data format in many REST APIs. With this update, it’s now possible to import data formatted in JSON directly to BigQuery without the hassle of writing extra code to convert the data format.

  • Nested and Repeated Fields: If you’re using App Engine Datastore or other NoSQL databases, it’s likely you’re taking advantage of nested and repeated data in your data model. For example, a customer data entity might have multiple accounts, each storing a list of invoices. Now, instead of having to flatten that data, you can keep your data in a hierarchical format when you import to BigQuery.
     
  • Additional improvements: 
    • Increased import quotas from 1000 jobs per day to 1000 jobs per table per day, and boosted the file size limit from 4GB to 100GB 
    • Faster data exports from BigQuery to Google Cloud Storage, by enabling large tables to be exported as multiple files in parallel 
    • Permanently save common queries in the BigQuery interface 

To learn more about how Google BigQuery can help you gain insights from your data in the cloud, click here to sign up.
]]> https://googledata.org/google-enterprise/google-bigquery-updates-faster-easier-and-more-data-formats/feed/ 0 Google BigQuery new features let you do more with your data https://googledata.org/google-enterprise/google-bigquery-new-features-let-you-do-more-with-your-data/?utm_source=rss&utm_medium=rss&utm_campaign=google-bigquery-new-features-let-you-do-more-with-your-data https://googledata.org/google-enterprise/google-bigquery-new-features-let-you-do-more-with-your-data/#comments Wed, 29 Aug 2012 17:00:00 +0000 https://googledata.org/?guid=eb045a50ebcb3745dd0a32501f24029a Posted by Ju-kay Kwek, Product Manager, Google BigQuery

Big Data can be a challenge for businesses and developers. There is so much information available today that it can be difficult to gain insights and make business decisions based on that data. Last month, Google BigQuery integrated several partner solutions, making it easier to import data from other cloud and on-premise solutions and visualize your data with rich interactive dashboards. Today, we’re giving you new ways to work with your data by adding two new features to BigQuery.

Batch Queries

While BigQuery specializes in getting insights quickly, we understand that there are important, non-interactive queries, such as nightly reports, that businesses also need to run. Now, you can designate a query as a batch query and it will complete within a few hours.If you’re using BigQuery via our standard self-service model, you pay 2 cents per GB processed for batch queries and 3.5 cents per GB processed for interactive queries.

BigQuery Connector for Excel

Analysts and executives use spreadsheets to explore large data sets. Last year, we launched the ability for BigQuery users to execute queries inside Google spreadsheets using the Google Apps Script integration. With the new BigQuery Connector for Excel, we’re now making it simpler to execute BigQuery queries using Microsoft® Excel. This connector takes advantage of Excel’s standard web query feature to eliminate the extra work of manually importing data and running queries directly within Excel. For instructions on how to download and use the connector, see the BigQuery Connector for Excel page.

If you haven’t gotten started with Google BigQuery yet, you can sign up here.

[Microsoft and Excel are registered trademarks of Microsoft Corporation.]
]]> https://googledata.org/google-enterprise/google-bigquery-new-features-let-you-do-more-with-your-data/feed/ 0 Neural Network for Breast Cancer Data Built on Google App Engine https://googledata.org/google-app-engine/neural-network-for-breast-cancer-data-built-on-google-app-engine-2/?utm_source=rss&utm_medium=rss&utm_campaign=neural-network-for-breast-cancer-data-built-on-google-app-engine-2 https://googledata.org/google-app-engine/neural-network-for-breast-cancer-data-built-on-google-app-engine-2/#comments Tue, 07 Aug 2012 16:00:00 +0000 https://googledata.org/?guid=be85f35fb71a8941b50b423ae77cf280 Posted by Brittany Wenger, Winner of Google Science Fair 2012

(Cross-posted from Google App Engine Blog)

Editors note: Today’s guest blog post comes from 17-year-old Brittany Wenger, the winner of this year’s Google Science Fair. Brittany built an application on Google App Engine called the Global Neural Network Cloud Service for Breast Cancer. This artificial neural network can detect complex patterns in data, learning how to classify malignant or cancerous cells it hasn’t seen before. Learn more about her project.



When a patient has a palpable breast lump, the first step a doctor takes is to determine whether the mass is malignant or benign. One relatively simple diagnostic procedure is a form of biopsy called fine needle aspiration (FNA). Though these tests are less invasive than others, they are historically less accurate as well. My goal was to create a tool for doctors to use when interpreting test results from these procedures.

For this project, I decided to create a neural network built on Google App Engine, using data published to the Machine Learning Repository by the University of Wisconsin. A neural network attempts to replicate the brain as a form of artificial intelligence through networks of computers and can be used to detect extremely complex patterns. It learns from its mistakes, so it can classify a case it hasn’t seen before as malignant or cancerous based on specific criteria like clump thickness or bland chromatin. Because the diagnostic power of the network improves the more data it has, building on App Engine is a way to ensure the app can continue to scale easily, no matter how much information goes into the system.

I got started integrating my neural network application code, written in Java, with App Engine in a few hours using the SDK’s Greeting Service sample code as a starting point. The application has two main parts, a training module, that implements the neural network itself and runs the training process over the input data stored in static files, and a web interface that takes input data and returns the network’s analysis.

Google App Engine provides the scalable infrastructure I need to collect information from every hospital in the world and run when there are many concurrent requests, as usage of my application increases. Because my network is built as a cloud service, not only is my app working on the web, but mobile tablets, smartphones, old PC systems, or new technologies can also easily access the service from any hospital with an internet connection.

The neural network I developed is 99.11% sensitive to malignancy when using leave-one-out testing with original data. Thus far, I have run 7.6 million trials. Moving forward my goal is to make the application accessible to the global medical community so more data can be deposited and used to improve the diagnostic power of the network.
]]> https://googledata.org/google-app-engine/neural-network-for-breast-cancer-data-built-on-google-app-engine-2/feed/ 0 Introducing the Google Cloud Platform Partner Program: Helping businesses move to the cloud https://googledata.org/google-enterprise/introducing-the-google-cloud-platform-partner-program-helping-businesses-move-to-the-cloud/?utm_source=rss&utm_medium=rss&utm_campaign=introducing-the-google-cloud-platform-partner-program-helping-businesses-move-to-the-cloud https://googledata.org/google-enterprise/introducing-the-google-cloud-platform-partner-program-helping-businesses-move-to-the-cloud/#comments Tue, 24 Jul 2012 17:00:00 +0000 https://googledata.org/?guid=6c9cc72bc1e43d00f6c71e0537bebd40 Posted by Eric Morse, Head of Sales and Business Development, Google Cloud Platform

Cloud is core to everything we do here at Google. In the last decade, we’ve invested in building an infrastructure that can serve 4 billion hours of video every month, support 425 million Gmail users and store 100 petabytes of web index, and it’s growing every day. We’ve taken this technology and extended it via Google Cloud Platform so that you can benefit from the same infrastructure that powers Google's applications.

As a business, we know you spend a lot of valuable time thinking about IT solutions. We think it’s important to provide you with the best options for your business, which is why we are thrilled to introduce the Google Cloud Platform Partner Program. This program provides our partners with the tools, training and resources they need to successfully address your business’ IT needs. For example, Orangescape Technologies, one of our partners, integrated Google App Engine as part of their platform to help United Biscuits, a leading manufacturer of biscuits and snacks in Europe, migrate their legacy Lotus Notes applications to the cloud.

The Google Cloud Platform partner program has two types of partners.

Service Partners
Service Partners provide consulting and implementation services on various Google Cloud Platform products. You can use their knowledge and expertise to develop applications like:
  • Business apps: Ci&T, a global systems integrator, built a new quotation app on Google App Engine to help SulAmerica, one of the largest insurance providers in Brazil, provide better policy quotations to millions of their customers.
  • Mobile apps: Agosto built a smartphone app running on Google App Engine to help the Minneapolis Loppet Foundation register thousands of participants in a Nordic ski event.
  • Social apps: PA Consulting built a crowd-sourced app on Google App Engine and Google Maps for MetOffice to provide richer, up-to-date local weather forecasts around the world.

Technology Partners
Technology Partners provide tools that integrate with Google’s platform or use one of our services as a foundation for their products.
  • Google Compute Engine: Compute Engine technology partners offer a rich set of management services that help you configure and manage applications running on Google’s infrastructure.
  • Google BigQuery: BigQuery technology partners enable you to import data from a wide range of existing on-premise and cloud data sources into BigQuery, as well as build rich, visually interactive dashboards on top of BigQuery.
  • Google Cloud Storage: Cloud Storage technology partners have integrated Google Cloud Storage directly into their offerings to provide you with active archiving, backup and recovery, and primary storage solutions.

Contact a Google Cloud Platform partner directly to learn how they can help you make the most of your IT investments by taking advantage of Google Cloud Platform.
]]> https://googledata.org/google-enterprise/introducing-the-google-cloud-platform-partner-program-helping-businesses-move-to-the-cloud/feed/ 0 Use Google BigQuery for your visual interactive dashboards https://googledata.org/google-enterprise/use-google-bigquery-for-your-visual-interactive-dashboards/?utm_source=rss&utm_medium=rss&utm_campaign=use-google-bigquery-for-your-visual-interactive-dashboards https://googledata.org/google-enterprise/use-google-bigquery-for-your-visual-interactive-dashboards/#comments Mon, 18 Jun 2012 17:02:00 +0000 https://googledata.org/?guid=1ce792e7eb1eb19680095681d0efa300 Posted by Ju-kay Kwek and Momchil Filev, Google BigQuery Team

(Cross-posted from the Google Developers Blog.)

Last month we announced the public launch of Google BigQuery, which enables developers and businesses to gain real-time business insights from massive amounts of data without any hardware or software investments.

Since then, we’ve added new features to Google BigQuery every week. For example, our most recent release includes support for running up to 20 concurrent queries, depending on the volume of data. This enables developers to build visually interactive dashboards on Google BigQuery.

Today, we’re highlighting two data visualization providers, QlikView and Bime, who are using Google BigQuery’s latest features to build dashboards with snappier and richer experiences.

QlikView


QlikView, one of the leaders in the Business Intelligence market, has developed a dashboard that visualizes the birth-record data for all babies born to mothers of different ages and races. With the help of BigQuery, QlikView can crunch millions of rows of data in seconds to answer questions like, “What's the average age of a mother in New York vs. in Texas?"

Bime


Bime, a cloud-based Business Intelligence provider based in France, is another early adopter of Google BigQuery. They’ve built a slick UI on top of the Google BigQuery platform that allows users to slice and dice 432 million rows of business data. For example, you can adjust a few simple parameters to see the sales distribution across products or regions on a map.

This is just a snapshot of how developers can use Google BigQuery to build interactive visual dashboards using a browser and without the hassle of managing SQL. Sign up and share your BigQuery use cases via our developer feedback form or on the Google Enterprise Google+ page.

]]> https://googledata.org/google-enterprise/use-google-bigquery-for-your-visual-interactive-dashboards/feed/ 0 Turn on your cloud databases, Google Cloud SQL has a new pricing plan https://googledata.org/google-enterprise/turn-on-your-cloud-databases-google-cloud-sql-has-a-new-pricing-plan/?utm_source=rss&utm_medium=rss&utm_campaign=turn-on-your-cloud-databases-google-cloud-sql-has-a-new-pricing-plan https://googledata.org/google-enterprise/turn-on-your-cloud-databases-google-cloud-sql-has-a-new-pricing-plan/#comments Thu, 10 May 2012 17:00:00 +0000 https://googledata.org/?guid=43aa5aa1cc6d7887b9e812762bf462d6 Posted by Joe Faith, Product Manager

Google Cloud SQL frees you from the chores of managing, maintaining and administering relational databases. It powers your App Engine applications with a familiar relational database (MySQL) in a fully-managed cloud environment.

Since we launched preview last October, Cloud SQL has improved performance and added features like scheduled backups, multihoming to increase availability and to improve application performance, and more powerful instances. Many businesses and developers have also started using Cloud SQL to administer their databases in the cloud.

For example, Daffodil, a global software firm, wanted to build and scale cloud applications with an easy-to-use database management system. After trying different solutions, they migrated to Google App Engine and Google Cloud SQL last year. After the migration, the engineers at Daffodil saved 100 hours of engineering work, allowing them to focus on their app and worry less about infrastructure.

Today, we’re announcing a two-tier pricing plan to Cloud SQL that will be enabled on June 12th:
  • If you’re a business building lightweight applications or just want to try out the service, the flexible pricing option is for you. You pay for what you use.
  • If you’re a business building heavy-traffic applications, we offer pricing packages, which are more economical and help you predict costs in advance.
We hope the new Cloud SQL pricing plans help you build App Engine applications tailored to your business’s needs. Post your questions in our user forums or comments on our Enterprise Google+ page.
]]> https://googledata.org/google-enterprise/turn-on-your-cloud-databases-google-cloud-sql-has-a-new-pricing-plan/feed/ 0 Google Cloud Storage brings more storage solutions to the enterprise https://googledata.org/google-enterprise/google-cloud-storage-brings-more-storage-solutions-to-the-enterprise/?utm_source=rss&utm_medium=rss&utm_campaign=google-cloud-storage-brings-more-storage-solutions-to-the-enterprise https://googledata.org/google-enterprise/google-cloud-storage-brings-more-storage-solutions-to-the-enterprise/#comments Tue, 06 Mar 2012 18:00:00 +0000 https://googledata.org/?guid=fbf85fc29dfb163eabbd8914d297ff3f Posted by Navneet Joneja, Product Manager for Google Cloud Storage

Google Cloud Storage enables developers to store and access massive amounts of data on Google’s infrastructure with high reliability, availability and performance. Since Google Cloud Storage graduated from preview last year, many developers have tapped directly into Google’s storage capabilities.

We are also seeing lots of technology providers integrating Google Cloud Storage directly into their offerings. For example, several providers of enterprise storage solutions have integrated with Google Cloud Storage to make their products and services even better.

Here’s how a few of these companies are helping their customers build a bridge to the cloud with Google Cloud Storage:
  • Panzura allows globally distributed enterprises to store, collaborate and backup files in the cloud using Panzura File System and Google Cloud Storage.
  • StorSimple offers a single integrated appliance for primary storage, data protection and disaster recovery. Now, you can connect your StorSimple appliances to the cloud with Google Cloud Storage.
  • TwinStrata’s storage gateway can now be used in conjunction with Google Cloud Storage for data storage, backup and disaster recovery in the cloud.
  • Zmanda provides backup and disaster recovery solutions for businesses. You can now use Zmanda’s software to backup your on-premise data to Google Cloud Storage.
  • Gladinet makes it easy to upload a file from your desktop to Google Cloud Storage, share it with your team and manage access controls using a web-based interface.
I'm thrilled to see other companies building innovative products using Google Cloud Storage. Today, we're also announcing lower storage prices to make it even more affordable to store your data in Google's cloud. The new pricing will be effective retroactively from March 1st, 2012.

If you’re interested in learning how you can tap into Google’s cloud storage capabilities to serve your company’s storage needs, we’d love to have a conversation or you can get started online.
]]> https://googledata.org/google-enterprise/google-cloud-storage-brings-more-storage-solutions-to-the-enterprise/feed/ 0 Updates to Google Docs app for Android: Offline access and improved tablet experience https://googledata.org/google-enterprise/updates-to-google-docs-app-for-android-offline-access-and-improved-tablet-experience/?utm_source=rss&utm_medium=rss&utm_campaign=updates-to-google-docs-app-for-android-offline-access-and-improved-tablet-experience https://googledata.org/google-enterprise/updates-to-google-docs-app-for-android-offline-access-and-improved-tablet-experience/#comments Wed, 01 Feb 2012 18:46:00 +0000 https://googledata.org/?guid=63183db74e99ef1ce46c72604bda4fa2 Posted by Freeman Liu, Software Engineer

(Cross-posted from the Google Docs Blog.)

There may be times when you don’t have an Internet connection on your Android device, but you still want access to a file you’ve saved in Google Docs. Now you can select any file in Google Docs to make it available offline. So regardless of whether you’re connected to the internet, you’re always connected to those files.

Even better, Google Docs automatically updates your offline files when you’re on Wi-Fi. You can also manually update files anytime you have a data connection by opening the file or tapping ‘Update’ from the Offline section of the app.





  
Make file available offlineUpdate online file


Make file available offline


Update offline file

For those of you with Android tablets, we’ve also improved the Google Docs reading experience. Now, when you open a Google document on your tablet while online, you’ll get a high-resolution version of the document. Swipe left and right to flip between pages, or use the slider at the bottom to page ahead quickly.


New reading layout on Android tablet


You can learn more about offline capabilities and the new reading layout in our Help Center.

Whether you’re offline or online, these improvements will make it easier to be productive from anywhere.
]]> https://googledata.org/google-enterprise/updates-to-google-docs-app-for-android-offline-access-and-improved-tablet-experience/feed/ 0 Happy New Year from the App Engine team https://googledata.org/uncategorized/happy-new-year-from-the-app-engine-team-2/?utm_source=rss&utm_medium=rss&utm_campaign=happy-new-year-from-the-app-engine-team-2 https://googledata.org/uncategorized/happy-new-year-from-the-app-engine-team-2/#comments Tue, 17 Jan 2012 18:36:00 +0000 https://googledata.org/?guid=5dbf8bb7615c496f503a1f50a50dd9d0 Posted by Peter S Magnusson, Engineering Director

(Cross-posted from the Google App Engine blog)

Happy New Year! As we return from our New Year's celebrations, brush the dust off our workstations and gear up for our first release of 2012, we thought it would be fun to take a look back at improvements we have made and what developers have accomplished with App Engine in 2011.

Let’s start with the features and functionality we added last year:
Best of all, with your continued support we accomplished our goal of graduating from preview and became a full fledged Google product.

We’ve seen excellent growth and adoption over the past year, with businesses like Pulse, Evite and Best Buy choosing App Engine for their applications. Even St. James’s Palace chose App Engine to host the Royal Wedding site. We had so much fun collaborating with 17 of the world’s most renowned museums for the Google Art Project and with other Googlers building iGoogle gadgets and Doodles on App Engine. We’ve added more than 1 million registered applications and have more than 150,000 active developers on the App Engine platform generating more than 5 billion page hits per day.

Back in our first blog post in 2008, we asked you to “start your engines” and what a ride we’ve taken. Thank you for making 2011 our best year yet and here’s to making 2012 even better!
]]> https://googledata.org/uncategorized/happy-new-year-from-the-app-engine-team-2/feed/ 0 Google App Engine, Cloud Storage and Prediction API are open for business https://googledata.org/uncategorized/google-app-engine-cloud-storage-and-prediction-api-are-open-for-business/?utm_source=rss&utm_medium=rss&utm_campaign=google-app-engine-cloud-storage-and-prediction-api-are-open-for-business https://googledata.org/uncategorized/google-app-engine-cloud-storage-and-prediction-api-are-open-for-business/#comments Tue, 11 Oct 2011 17:00:00 +0000 https://googledata.org/?guid=240c275150e32bffaa747886e18c9838 Posted by Jessie Jiang, Group Product Manager

Google’s cloud services allow you to host your applications in the cloud and leverage the same infrastructure that power Google's own applications.There are more than 200,000 developers who have created apps on Google’s cloud services. Today, we are announcing several enhancements to our services targeted at businesses looking to build applications in the cloud.

New enterprise level service and support option for Google App Engine

When choosing a platform for your most critical business applications or standardizing on one across your organization, we recognize that uptime guarantees, easy management and support are just as important as product features. So today, we are launching Google App Engine Premier Accounts. For $500 per month, you’ll receive premier support, a 99.95% uptime service level agreement and the ability to create unlimited number of apps on your premier account domain.

To sign up for a premier account, email our sales team at appengine_premier_requests@google.com.

Google Cloud SQL - Your database in the cloud

Last week, we announced the limited preview of Google Cloud SQL. It powers your App Engine applications with a familiar relational database in a fully managed cloud environment. This allows you to focus on developing your applications and services, free from the chores of managing, maintaining and administering relational databases.

Cloud SQL is available free of charge for now. It will continue to evolve as we work out the kinks during the preview. Let us know if you’d like to take it for a spin.

Google Cloud Storage is out of Code Labs, with new features and lower price

Last year, we introduced Google Storage for developers, a service that lets you store data on Google’s infrastructure with very high reliability, availability and performance. You can use it for your online archives, storing and serving static content (e.g. images and video), sharing data with your customers and partners, as well for use with other Google services like App Engine, Prediction API and Big Query.

Today, Google Storage for Developers is out of Labs, and has a new name - Google Cloud Storage. In addition to leaving Labs, we are announcing several new features. You can now read and write files to Google Cloud Storage via the App Engine Files API. We are also making detailed usage information, including access analytics and storage use data, available to all our customers.

Finally, we are lowering the prices for storage and bandwidth across the board. We are not charging for ingress and introducing volume discounts for our larger users. Depending on your usage patterns, you could save over 40% of your monthly bill. Please see our updated pricing here.

Google Prediction API graduates from labs, adds new features

Since the general availability launch of the Prediction API earlier this year, we have been very excited about giving you access to machine learning in the cloud to build smarter apps. Today, we are announcing the latest release of Prediction API - v1.4. With the release of this version, Prediction API is graduating from Google Code Labs. The new release will also includes two of your most requested features: PMML v4.01 support and data anomaly detection.

Prediction API has a variety of use cases from helping increase fuel economy to creating movie recommendation services. It is one of the services which provides a clean and simple API to  machine learning that anybody can understand. At the same time, it is hosted in the cloud and ideally situated for integration with your web application.

We are enabling our enterprise customers to build business solutions that take advantage of the computing power and scalability of Google’s cloud services without all the hassles of deployment of applications. We have been making great progress on Google App Engine, Cloud Storage, and Prediction API. There is more to come, stay tuned.

Let us know if you are interested to talk to a Google representative to get more details. We are always happy to hear from you, so feel free to leave your comments below.
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