Big Data. Big Decisions
InformationWeek
Special Coverage Series


Savvis Cloud Storage Takes On Amazon, Google

Savvis Symphony Cloud Storage marries data center management expertise with CenturyLink's networking savvy to simplify data replication and increase disaster recovery reliability.

7 Cheap Cloud Storage Options
7 Cheap Cloud Storage Options
(click image for larger view and for slideshow)
Savvis is moving more convincingly into standard cloud services. The managed hosting provider launched Savvis Direct as a beta compute service Monday, following on its Dec. 3 launch of Symphony Cloud Storage, its long-term storage equivalent to Amazon's S3.

Savvis comes to the party with some of its own particular bells and whistles. To provide cloud services, it's marrying its experience in managing large data centers with CenturyLink's networking savvy. CenturyLink is the third-largest carrier in the United States, and that means if you're already a CenturyLink business customer, you can move your data between CenturyLink cloud centers at no additional charge on the private network.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

There could be advantages to that. With security the number one concern about public cloud data centers, Savvis can offer its telecom services users a chance to access cloud servers over private lines. That could easily prove an attractive option versus relying on the public Internet for archiving sensitive business data, as say, Microsoft Azure or Amazon Web Services customers do.

Likewise, with a strong telecommunications network undergirding them, Savvis' five cloud data centers around the world are interlinked by lines that allow easier data replication services. Customers can set up workloads and store the data they produce in Symphony Storage at their compute site, then replicate it to another cloud location. The second location might be across town -- Savvis operates redundant data centers at its cloud locations -- or it might be across the country. It has cloud centers in Santa Clara, Calif.; Sterling, Va.; Toronto, Canada; Slough, U.K.; and Singapore.

[ Want to learn more about how Savvis is plunging into cloud services? See Savvis Challenges Amazon With On-Demand IaaS. ]

When setting up your Symphony storage, "you can pick one to replicate to via a checkbox procedure, or you can go to all five" for those who demand the highest guarantee of data survivability, said P. J. Farmer, Savvis' director of cloud storage product management.

With Amazon Web Services, you can also choose a second availability zone and achieve greater data survivability and availability, also. Amazon doesn't specify availability zones by location, but a second zone for a workload in its popular northern Virginia data center complex, U.S. East-1, is still in northern Virginia. So are zones 3, 4 and 5. That's a drawback when a storm with an 800-mile wide front comes ashore on the East Coast.

A user in Toronto can replicate to Slough, or a user in Sterling can replicate to Santa Clara, noted Farmer, which would tend to get the data out of a natural disaster area.

Savvis uses this networking capability to add more services to its cloud service, still in a limited customer offering. For example, Savvis has "geo-intelligent routing" that can respond to a customer data replication choice without the customer needing to set network parameters or make destination adjustments. At the same time, it has a global namespace system that captures metadata on stored objects. The metadata is shared, in what functions as a federated directory, across the five cloud data centers. That means any employee with access rights can call up the employer's data by seeking the correct file name. The system resolves the location of the requested file or files and delivers them -- from multiple locations, if necessary.

The global namespace works through one URL, where the requestor's location determines the first stop for his or her request, i.e., the nearest Savvis cloud center. "A request for a file in Germany will be routed to Slough, regardless of where the file is located," said Farmer. At its first stop, the global namespace system at that data center resolves the actual location of the data, retrieves it and sends it back to the user.

"From a mobile application development perspective, this has a lot of benefit," noted Farmer. "You could distribute an application around the world using one URL. You would not need to regionalize it," she said.

In addition to international mobile apps, there could be many other uses. "You can do things you couldn't do before. You have to think what your use case is going to be," she said. An international hotel chain, for example, might wish to distribute its room directory to cloud centers on a regional basis, serving those closest and most likely to need a room the fastest.

Symphony Storage is built on an EMC Atmos storage platform and is compatible with the Atmos API framework, she said.

So what does such a storage system cost? Farmer said she had planned to set pricing at a competitive level with Amazon and Google storage services, until a price war broke out Nov. 29 when Amazon Web Services announced it would be cutting S3 storage prices from 24% to 27%. Google responded the next day, announcing similar cuts.

"I planned to be quite competitive on pricing until [Nov. 29]. Now I'll have to think it over," she said. Savvis is bringing added value to storage with its features and it may not follow Amazon and Google as far as they are willing to go down the price reduction path, she said.

Symphony Storage is in limited availability to select customers until early in the first quarter of 2013, when it will become generally available. Savvis says 30 of the top 100 companies in the Fortune 500 are already its cloud customers.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.