Support is as important as product features when choosing a platform for your applications. And let’s face it, sometimes we all need a bit of help. No matter which Google Cloud Platform services you are using—App Engine, Compute Engine, Cloud Storage, Cloud SQL, BigQuery, etc.—or what time of day, you should be able to get the answers you need. While you can go to Stack Overflow or Google Groups, we realize some of you may need 24x7 coverage, phone support or direct access to a Technical Account Manager team.

To meet your support requirements, we’re introducing a comprehensive collection of support packages for services on Google Cloud Platform, so you can decide what level best fits your needs:

  • Bronze: All customers get access to online documentation, community forums, and billing support. (Free) 
  • Silver: In addition to Bronze, you can email our support team for questions related to product functionality, best practices, and service errors. ($150/month) 
  • Gold: In addition to Silver, you'll receive 24x7 phone support and consultation on application development, best practices or architecture for your specific use case. (Starts at $400/month) 
  • Platinum: The most comprehensive and personalized support. In addition to Gold, you’ll get direct access to a Technical Account Manager team. (Contact Sales for more information)

Sign up or click here to find out more information about the new Google Cloud Platform support options.


(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.


(Cross-posted on the Google Developers 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
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 trading off some data availability while maintaining the same latency performance and durability as standard Google Cloud Storage. DRA can be used for things like batch compute jobs that can easily be rescheduled or for data back-up 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.


(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.


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.


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.


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.]


While Google Apps for Business is built for simplicity, many businesses and organizations have found a way to go beyond the basics with Google Apps. How? These companies have taken advantage of the expertise of a Google Apps Reseller. Google Apps Resellers have invested people, time, and resources into becoming an expert on and providing specialized services for Google Apps – so you don’t have to.

When should you engage a Google Apps Reseller? Here are some ways that Resellers have assisted businesses to date:
  • Assessing the initial move to cloud-based solutions
  • Helping set up and manage Google Apps
  • Training employees to fully explore and use the many features of Google Apps
  • Data, data, data – migrating data, implementing data policies, managing storage with Google Drive, and more
  • Integrating Google Apps with other business applications
  • And more, including support, network and security management, and building Google Sites

This community has grown to over 6,000 resellers, serving businesses, government agencies, and educational institutions around the world. Our resellers have always been the trusted face of your relationship with Google Apps, managing everything from billing to your support needs. Within the community is a set of Google Apps Premier Resellers. These experts have proven an exceptional level of success helping Google Apps customers, and they have staff who are officially certified in deploying Google Apps. We named one Premier Reseller, Cloud Sherpas, Partner of the Year earlier this year for their track record and strong customer references.

Want to get connected with a Google Apps expert? Let us know and we’ll put you in touch.


(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, 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, 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.


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.


Today, we’re making it easier for larger businesses to use Google’s cloud services by announcing the Cloud Transformation Program.

With the Cloud Transformation Program, we’ve identified select Google partners that can help you get the most out of Google’s cloud services, including Google App Engine, Google Storage for Developers, Google Apps Script and Google Prediction API. Initially, Cloud Transformation Program partners will offer customized solutions in the following areas:
  • Cloud-based applications such as websites, mobile apps, social media apps, business process apps and customer-facing web apps built using Google App Engine and Google Apps Script
  • Predictive solutions such as fraud detection, customer sentiment analysis, and customer churn prediction built using Google Prediction API
  • Enterprise storage solutions such as storage for applications, data sharing and high-reliability backup built using Google Storage for Developers
Over time, we expect that partners will expand their focus as we add new cloud services.

We’re excited to have CSC, Cloud Sherpas, Cognizant, Opera Solutions, Razorfish, SADA Systems and TempusNova as our initial Cloud Transformation Program partners. These partners all have deep expertise and a proven track record of success helping businesses make the most of their IT investments, so we appreciate their support. To learn how you can use Google’s cloud services in your business, please contact one of our partners directly.