Recent Posts

Some great new articles over at InfoWorld on the Cloud -

The dangers of cloud computing

What cloud computing really means

Early experiments in cloud computing

A step closer to the integrated cloud

Amazon's cloud computing service fuels startup's launch

Amazon adds resilience to cloud computing service

Adoption of the Cloud

There is an interesting article over at Infoworld talking about the dangers of cloud computing. It is an intriguing read about how cloud computing infrastructure is not secure enough for the Enterprise - but more secure than existing mid-size enterprises probably have in place.

The premise is that cloud vendors don't put as much investment and resources into security as do large Enterprises - but more than small companies. This might well be true. Ephraim Schwartz, the author of the piece, goes on to talk about the what applications truly belong in the cloud, and which don't. Non-mission critical applications belong within the cloud, and mission-critical applications do not.

I tend to agree. However, there is another classification of applications that will not readily map to the cloud - ones that support business processes that differentiate an organization.

Companies gain competitive advantage in the marketplace through many factors. I would argue that many companies today have only a small number of factors to play with - Service, Quality, Price, and Availability. The way they deliver these four factors is their competitive advantage. This competitive advantage is built into their internal business processes, culture and approach to the market. All of which are supported by technology.

The way a company uses technology to create business advantage, link internal processes, communicate, share information and support their business - is the competitive differentiator most companies have.

Many business critical applications will not move to the Cloud - not because of a concern about security - but because of it's inability to enable differentiation. Based on some of these assumptions I believe that we can map out, to some level of accuracy, the types of applications that different businesses will adopt.








Large Enterprise - Early adopters of Transactional Service, Moderate Adopters of Infrastructure (for non-critical applications), and late adopters of SaaS applications.

Small to Mid Size Enterprises - These folk will also be early adopters of Transactional services, and medium to early adopters of Infrastructure. They will view the cost savings related to using infrastructure services as a competitive advantage. They will also adopt SaaS applications, but at a slower rate - and for specific types of applications that are either commodities, non-critical or require a level of B2B collaboration. For instance Sales Force Automation, Supply Chain Demand Planning and Business Process Hubs.

Small to Mid Size Businesses - Early adopters of Applications (SaaS) due to it's cost benefit, pricing flexibility and low up-front cost structure. They will also take advantage of Cloud Infrastructure capabilities - but only as they are wrapped with business friendly applications. Don't look for this group to directly write web services that take advantage of Amazon S3, they will wait for the application they can install on their Windows XP Server. Low adopters of Transactional services - due to the IT requirements around the data integration.

Market Sizing the Computing Cloud

When looking at the Computing Cloud from a market perspective a number of very obvious questions start to arise. How big is the computing cloud? How many companies are in the cloud. How much revenue is actually being generated by the Computing Cloud, who is actually buying Cloud services and most importantly what is the Growth and opportunity within the Computing Cloud?

My gut tells me that the Computing Cloud very well might be another disruptive technology. A game changer that transforms how applications and services are delivered to the market. But good companies don't make decisions based on a gut feels, they make them based on business models that promise a strong return on investment.

Many companies are looking at the Computing Cloud as a way of reducing costs and delivering core services to market faster. However some companies are looking at the Computing Cloud as a new market itself. Companies like Google, Microsoft, Amazon, eBay and SaleForce.com are already in the market. Others like RightScale, who recently raised $4.5M in financing, are just now entering. How do these companies figure out what the Market opportunity is?

I have started to scan the web to try and see how much information is actually available on the topic so far. The results are pretty slim. Gartner, Forrester and the like might have some market data, but nothing that showed up on any of the public sites.

So far I have been able to find a few data points on Cloud Computing. There is a great site for registering all of the APIs available for Cloud Computing - programmableweb.com. The site not only lists all of the APIs available (755 as of this writing), but also lists the mashups that use these APIs. They also track the most used APIs, by category and vendor, by all of the Mashups. I took a couple of snapshots of the API usage and plotted it's 1 month growth, by category.

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This chart tells us a few things. First off the most used APIs for mashups are mapping. This does make sense, as many web sites are now embedding maps and context sensitive location information. All one has to do is look at the proliferation of map information within Realty web sites to see this phenomena.

Second we can see that the second tier of mashups are using APIs for Photos, Shopping, Video and Search. These are all consumer related APIs, not enterprise related. Part of this is related to the nature of mashups and the source of our data. We are not likely to see corporate activity and usage patterns within this data set. However it is interesting to note that the sum of usage for Storage, Hosting, Identity, Office and Database is less than 1/3 of the total usage for Video and only 1/20th of Mapping.

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The next chart shows us the number of mashups added during the period by Category. Again this shows us that Mapping is by far the leader. Widgets and Search also added 3 new mashups.

Summary
So what does this tell us? First off we have to realize that the data set is limited, and comes from a site very focused on mashups and the usage of APIs by those mashups. Even within that context it is obvious that Mapping is the big winner in the early use of Cloud Computing. This does make sense. There are a tremendous number of web-sites that can immediately benefit from embedding location sensitive maps directly onto their site. With the publication of easy to use map tools from companies like Google and Microsoft it is inevitable that sites would start to take advantage of them.

This trend should continue, and even accelerate. How long until every corporate web-site has an embedded Google map on their Corporate Location Page? Who is going to write their own video or photo management application when they can just embed that service onto their web site from a site like Flickr or YouTube.

The transition is now in full swing. Base services for mapping, photo management, video, advertising and other web-based services are becoming commodity applications delivered from a core set of providers. It will be left up to the rest of us to figure out how to use these services in unique and interesting ways.

Classifying the Computing Cloud

Introduction

More and more we see references to the Computing Cloud appear in articles and blogs across the Internet. Just the other day Scientific American wrote and article highlighting the shift away from traditional data centers to the Computing Cloud. You can find that article here.

This article is interesting because it talks about the Black-Box data center strategy being aggressively pursued by Sun Microsystems. In a nutshell these Data centers give organizations the flexibility to place a fully functional Data Center wherever they need it. This flexibility allows companies to realize cost savings by locating their computing power either closer to where it's needed, or in locations with cheaper power costs.

These Black-Box data centers are tremendously powerful and cost effective, but are they part of the Computing Cloud? This begs the question, "What is the Computing Cloud"? How do OnDemand applications, utilities, data feeds and Black Box data centers all fit under the same definition? Is the term Cloud Computing in danger of becoming overloaded like Enterprise Content Management (ECM). A term so broad as to be unhelpful in helping classify and understand an applications function?

This confusion has led us to attempt to start defining and classifying the broad parameters of the Computing Cloud. This is a work in progress and an exercise in understanding what is, and what isn't in the Computing Cloud.

What is a Cloud Computing Application?

As you look across the spectrum of Cloud, Utility and Grid computing a clear separation in functionality becomes evident. What's more, companies utilize the Cloud for very different purposes.

Some organizations are looking to companies like Google, SalesForce.com and eBay for user level applications; Email, Blogging, Word Processing, Customer Relationship Management (CRM) and the like.

Other companies see value in leveraging infrastructure level components. Offloading storage and computing power into centralized service centers enable them to benefit from the inherent economies of scale in the Computing Cloud. At the same time they can take advantage of best of breed data centers, network management and operational capabilities.

Finally companies look to the Cloud for discreet transactional information and capabilities. Want to know what the temperature is in San Francisco? Just look it up on a Web Service call at XMethods. Trying to calculate the risk associated with the Yen carry trade? Look up the current Yen to Dollar conversion rate at XIgnite.

While these Cloud Computing applications offer very different capabilities, and solve different business solutions, they do share common elements.

1. Computing Cloud applications are shared between organizations and reside on a common platform.
2. Computing Cloud applications are accessed remotely across an Internet connection.
3. Computing Cloud applications are priced using different revenue models than Enterprise and Traditional Software.
   

There are many other differences between Enterprise/Traditional applications and the Computing Cloud. However the three factors above seem to be common among all the Cloud Computing applications we looked at.

Types of Computing Cloud Applications

Different organizations use the Cloud for different reasons. By compartmentalizing the Cloud we start to understand how and why organizations use it. The natural divisions seem to be; Applications, Infrastructure and Transactions.

Applications encompass all of the services delivered directly to an end user. These are typically web-driven programs that help users with day-to-day business functions. For instance Google Desktop Apps, SalesForce.com, Microsoft Live and Siebel OnDemand CRM are all instances of Cloud computing applications.

Cloud Infrastructure components are services that provide capabilities you would typically associate with physical hardware or application development, specifically storage and computational power. Amazon is a classic example of making infrastructure capabilities available in the Cloud. Their Simple Storage Service, Elastic Compute Cloud and Simple Queue Services are all instances of Infrastructure capabilities. Google's own Data API is also a Cloud Infrastructure component.

SalesForce Apex and Adobe's Apollo application development platforms are another example of Cloud Infrastructure components. Specifically these platforms give developers storage, processing and development capabilities that deploy onto a remote Cloud infrastructure. Developers can create, test and deploy entire applications that run completely within the Cloud Infrastructure which in turn gives companies tremendous flexibility to create value added applications, while significantly lowering the risks and costs associated with large scale Web based deployments.

The rest of the Cloud falls under the Transactional classification. Transactional elements of the Computing Cloud help you perform discreet actions that either retrieve, manipulate or transform data and information. Cloud Transactional capabilities range from the thousands Web Services available from organizations like XMethods and XIgnite to Amazon's Alexa services, encompassing everything from Thumbnail creation to the Webs top sites.

This leaves us with what is not part of the Computing Cloud. I would propose that while Black Box service centers are an attempt to help with some of the same problems that the Computing Cloud solves, it is not by definition part of the Computing Cloud. An organization might use a Black Box service center to deliver a Cloud Computing component but the Black Box itself is not inherently a part of the Cloud. It is just an extension of an existing network.

Additionally not all Web Services are Cloud Computing. At it's core a Web Service is just a way of communicating between two applications. It might be a key mechanism of delivering Cloud Computing capabilities, but is not inherently part of the cloud itself.


Summary

There are real fundamental issues that IT organizations are struggling to solve today. The explosion of information, connectivity and user expectations are rapidly increasing the demands put on MIS departments. Add to this the drive for cost containment present in every modern company and you have a real pain point.

Cloud Computing is beginning to offer viable solutions to these problems. By using Cloud Computing solutions companies can stop spending time on commodity Application, Infrastructure and Transactional capabilities and focus on adding real value and differentiation through their IT departments.

IT departments will use Cloud Computing for three reasons - Cost reduction of commodity application deployments, management of peaks in infrastructure demands and delivering to business segments that demand linear or exponential growth in computing power, storage and delivery.

Through the next two to three years we will see companies begin to experiment with Cloud Computing in test or pilot applications. After that companies will start to adopt Cloud Computing wholeheartedly. However, companies will not abandon their data-centers. Instead Cloud Computing will become an integral part of delivering a companies value, sitting right alongside and integrated directly into their existing network and data center.