Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Charles Babcock

Charles Babcock

Editor At Large, InformationWeek

Zynga Takes On Amazon In IaaS Game

Zynga will sell cloud infrastructure-as-a-service to other game makers who want a hosting platform. With this innovative play, Zynga just became Amazon's competitor.

Zynga, owner of eight of the ten most popular social networking games on Facebook, is expanding its business to offer a game hosting platform, providing the technology on which other game makers can launch and run online games.

Zynga is not the first company to build out cloud computing infrastructure-as-a-service, but it's the first to produce an infrastructure that's uniquely geared to the burgeoning online game industry. This move reminds me of how Amazon.com went from selling books to serving as an all-around online retail store, then to selling and shipping other retailers' products, and finally to supplying raw computing infrastructure-as-a-service. You could also compare Zynga's plan to the New York Stock Exchange's efforts to sell cloud computing services to financial traders: Both Zynga and NYSE are trying to sell computing services finely tuned to an industry need.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

With the move, Zynga has swiftly moved from being highly dependent on Amazon to becoming its competitor in the cloud infrastructure services market. Just 12 months ago, Zynga relied on Amazon for 80% of its computing capacity, running only 20% on its own data center. Since then, it has flipped that percentage to rely on Amazon for just 20%. Investors, who have been complaining about Zynga's successive quarterly losses, should be heartened by that trend, which bodes well for Zynga's long-term prospects.

[ Learn more about how cloud data centers can work together with direct telecommunications links. Read Data Center Chains In Cloud Promise Easier Moves. ]

Another advantage is that Zynga understands how a modern social networking game business should operate. Zynga's games share many common functions--such as "notify other players of this move"--so that much of the underlying logic and services can serve more than one game. In equipping its data centers, Zynga built and organized arrays of servers to perform different functions--for example, huge memory servers for caching content on Web servers; high I/O servers to process database calls; and CPU-intensive servers to execute complex game logic. Other arrays serve as high-speed firewalls, load balancers, or switching mechanisms. (Zynga lets wholesalers build and operate data center facilities, then equips its space the way it wants.)

For more on Zynga's innovative approach to big data and the cloud, check out this interview with CTO Allan Leinwand:

Zynga's move away from Amazon into its own zCloud infrastructure has been hailed as proof that enterprises can build private clouds and profit from their use without relying on the public cloud. But Zynga differs from most conventional enterprise IT data centers in some critical ways. First, Zynga has designed its data center arrays as a single computer serving one application: the collective, underlying logic and services that run its games. If you know your application as well as Zynga does, you can arrange server arrays like components on a circuit board, bringing to life Google's view of "the data center as the computer." In this way, Zynga says it has reduced the number of servers to one-third of what it had been using in Amazon.

 1 | 2  | Next Page »


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.