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Posts tagged ‘Software-as-a-Service’

Jul 20

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Rethinking Cloud ROI from a Customer’s Perspective

Seeing the proliferation of cloud ROI, TCO and cost calculators brings to mind my economics professors who strove with a passion to reduce complex consumer decisions into simple, very powerful formulas.  Like these calculators pervading the market, my economics professors showed a passion for accuracy, precision and measured perfection.

The only trouble is that people, companies and markets defy and will deliberately not conform to an equation, cause-and-effect strategy or series of artificial incentives to get them to change.  If there is one single, loudly reverberating fact in this economy, it is that marketing and selling strategies based on economic theory alone are failing.  The business benefits of cloud computing need to be more integrated into these ROI and TCO calculators to make them relevant.  They need to reflect more of the customers’ needs to be useful.

It’s Time To Bring The Customer and Their Strategies Into The Equation

Of the many white papers, e-books and websites all claiming to translate cloud computing server usage and capacity planning metrics into business benefits, the Open Groups’ white paper published in 2010 delivers useful insights.  The research and analysis was produced by Cloud Business Artifacts (CBA) project of The Open Group Cloud Computing Work Group.  You can find the entire document here.

The following table is from the section on building ROI for Cloud Computing using Key Performance Indicators (KPIs) and Metrics.  While this table is a start, what’s  missing  are more metrics related to the Web customer experience.  There needs to be more measures of whether customer experiences were successful or not by application, and if and how SaaS-based applications contributed to customers’ expectations being exceeded or not.

One of the biggest benefits all ROI and TCO calculators attempt to quantify is speed of cost reduction and time reduction, but what about speed of strategy execution? For many of these online tools, prospects using them would have no idea how their investment will accelerate their goals.  All they see are costs related to the technology.  Not much if any analysis is provided how the technology relates to their strategies being attained more quickly, completely and profitably.

And what about enabling channels to sell more effectively?  Launching products on time, synchronized across online and offline channels and having consistency of messaging, pricing, services – in short the entire user experience– is rarely if ever mentioned.  Ironically the greater the focus on ROI and TCO calculators, the greater the lack of focus on creating a truly exceptional customer experience while attaining complex selling strategies.

It’s time for the industry’s vendors to wake up and realize that they are selling for the most part to nonconformists not robots.  ROI and TCO calculators that don’t reflect what customers really want to accomplish and stay centered on technology alone are missing huge opportunities to sell on value.

Bottom line: The comfort that comes from attempting to take the chaos of a market and crystalize it into an equation is an illusion – the real test of a vendor’s value is being able to navigate customers to their goals using technology when necessary, not as a crutch.

Cloud ROI and TCO Calculators

Amazon Web Services Economics Center  http://aws.amazon.com/economics/

Amazon Web Services Simple Monthly Calculator http://calculator.s3.amazonaws.com/calc5.html

Astadia Cloud Computing ROI Calculator http://www.astadia.com/products-and-services/IT-cloud-transformation/roi/

Azure ROI Calculator (written in Silverlight)  http://azureroi.cloudapp.net/

Commentary: http://social.msdn.microsoft.com/Forums/en/windowsazure/thread/c4155f48-d51f-4c14-b79c-3f8248ac9646

Azure TCO calculator http://www.microsoft.com/windowsazure/offers/

Cloud Business Review – Cloud Migration ROI Calculator http://www.cloudbusinessreview.com/cloud-migration-roi-calculator.html

EMC ROI Analyst (requires opt-in) https://roianalyst.alinean.com/emc/Welcome.do

GetApp Cloud Computing Calculator http://www.getapp.com/cloud-computing-roi-calculator

Google Cloud Calculator http://www.gonegoogle.com/#/company-name

Rackspace Load Balancer Calculator http://www.rackspace.com/cloud/cloud_hosting_products/loadbalancers/pricing/

Salesforce.com Force.com Business Case Calculator (ROI) http://www.salesforce.com/platform/tco/calculator.jsp?d=70130000000EfON&internal=true

Stelligent ROI Calculator http://stelligent-roi.appspot.com/

VMWare ThinApp Calculator http://roitco.vmware.com/ThinApp/

Sources:

Open Group Publishes Guidelines on Cloud Computing ROI http://cloudcomputing.sys-con.com/node/1376952

Private cloud discredited, part 1 http://www.zdnet.com/blog/saas/private-cloud-discredited-part-1/1204?tag=mantle_skin;content

Jul 9

Image for SaaS Apps Post

Deciding Which Applications Belong on SaaS

The debate is getting louder by the week about which applications should move to SaaS versus be kept on-premise.  Wanting to it both ways, more and more companies are offering both SaaS and on-premise versions.

A recent report from Forrester, What CEOs Of Small Software Companies Need To Do In 2011 How To Find The Best Opportunities In A High-Growth Market, underscores the debates at enterprise software companies facing this dilemma.

A graphic from the report is shown below and served as the catalyst of the points show here:

  • Decide if your company can afford the revenue and potential profit hit of switching business models.  Vendors selling licensed on-premise systems often have annual maintenance revenue streams that contribute 60% or more of their annual revenues.  This revenue stream  gives companies a cushion to wait out long sales cycles and spend years developing new products.  Enterprise vendors in this position need to set aggressive goals for new sales, development and cultivate a culture of accountability so complacency doesn’t take hold.  With more than 50% of revenues gained often in the first year of the license, this model is very challenging to migrate off of in favor of SaaS.  Conversely, SaaS-based licenses have been known to generate only 20% of contract value the first year.  That’s why many investors tell SaaS start-ups and companies making the transition to get customers to pay multiple years ahead if at all possible.
  • SaaS is ideally suited for highly collaborative, distributed applications that need to match how your customers work.  CRM, Social CRM and its many related segments of the software market, along with enterprise collaboration, knowledge management and communication all fit here.  Reducing churn through greater loyalty to CRM and related applications, in addition to creating vertical market extensions have proven to be great strategies.   SaaS-based ERP, Supply Chain Management (SCM), Warehouse Management and other enterprise applications are gaining traction because the companies offering them are doing the hard work of simplifying very complex processes before moving the to SaaS.

  • Upgrade paths for both licensed and SaaS applications can force your company into being all things to all people.  Customers of  SaaS applications are going to expect incremental updates every three months or more at the least, while licensed customers are content with interim releases every six months and a major release every three to four years.

Bottom line: Migrating to SaaS from licensed applications often leads to sales and profits dropping for two to three years due to the change in maintenance and renewal revenue streams.  Being smart about which applications get moved when and not deviating from the plan can mean the difference between being profitable or not.

Source:   What CEOs Of Small Software Companies Need To Do In 2011 How To Find The Best Opportunities In A High-Growth Market by Andrew Bartels with Christopher Mines, Peter Burris, Sarah Musto. July 7, 2011

Jul 2

Sizing the Public Cloud Services Market

Gartner’s latest forecast of the public cloud services market predicts that by 2015, this worldwide market will be worth $176.8 billion, achieving a five-year compound annual growth rate (CAGR) of 18.9%.

Their latest forecast is based on defining the public cloud services market from revenue generation, not an IT spending perspective.  This is in contrast to the public cloud services forecast IDC also released this week, stating that public IT cloud services spending would reach $72.9B by 2015.  Of the two approaches, the one that is revenue-based delivers a more granular, detailed look at Platform-as-a-Service (PaaS) and Infrastructure-as-a-Service (IaaS) challenges and opportunities for growth (see tables below for details).  The Gartner report, Public Cloud Services, Worldwide and Regions, Industry Sectors, 2010-2015, 2011 Update, was published on June 29, 2011.

Gartner’s decision to base their methodology on revenue generated versus pure IT spending opens up the potential to evaluate entirely new business models based on services growth.  The forecast is based on revenue either directly or indirectly generated from the sales of services and from sales to enterprise or consumers.  Business process services are defined in this forecast as any process that can be delivered as a service over a scalable, elastic and secure connection over the web.  This includes advertising, payroll, printing, e-c0mmerce, in addition to applying applications and systems infrastructure. Presented below are key take-aways and analysis from the reports.

Key Take-Aways

  • By 2015, the total market will be worth $176.8 billion, which represents a five-year compound annual growth rate (CAGR) from 2010 of 18.9%. The largest part of this is revenue derived from advertising that is used to provide IT services ($77.1 billion in 2015), which represents an addition to the total size of the IT market.
  • The transition of software from licensed to service models continues, but it has yet to reach breakthrough proportions (9.6% in 2010, rising to 13.8% in 2015). Traditional outsourcing services also continue to transition to cloud delivery models, involving a high degree of service standardization. Gartner continues to take a conservative view of revenue recognition in terms of SaaS adoption compared to other research firms as is shown in the following table.

  • Application and systems infrastructure are projected to grow the fastest in terms of revenue generation through 2015, with advertising-related revenue being a significant proportion of the total public cloud services market through the forecast period.  The following table breaks out public cloud revenue globally by business process services, applications, application infrastructure and systems infrastructure.
  • The high-tech, manufacturing and financial services sectors and the public sector will continue to be the most-aggressive adopters of cloud services through 2015.  Presented below is a table comparing cloud services revenue by industry sector.
  • The North American market continues to be, by far, the largest regional market representing 60% of the global market currently, but growth in China remains of interesting potential.
  • Financial services organizations in aggregate represent the largest users of public cloud services.
  • Some smaller countries will demonstrate very high growth (more than 25%) in e-commerce cloud services, because of high growth in underlying retail e-commerce. The Census Bureau of the U.S. Department of Commerce estimates that e-commerce sales in the fourth quarter of 2010 accounted for 4.3% of total U.S. retail sales.

Bottom line: Taking a revenue-based approach to defining cloud services shows how critical the application and system infrastructure is to overall market growth.  Gartner predicts the fastest growing revenue generating segment of public clouds will be storage services (89.5%) followed by Compute Services (47.8%) and supply management (39.5%).

Jun 14

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Infographic of Cloud Computing Outlook 2011

Today Cloud.com, Zenoss and BitNami released the results of a recent survey to determine the key IT objectives and obstacles to cloud adoption.  The survey respondent base consisted of the development communities from BitNami, CloudStack and Zenoss Core, all open source projects, and included more than 500 IT professionals.  For an analysis of the results see Cloud Computing Survey Finds Scalability and Cost Savings Driving Cloud Adoption on CloudTweaks.com.  The following Infographic is based on the survey results.

Jun 12

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Gartner Search Analytics Shows Spike in Platform as a Service (PaaS) Inquiries in 2011

Trends of search terms from user accounts and topics of their inquiries form the catalyst of research agendas in many IT advisory firms.  At Gartner these two factors and others like them are commonly regarded as leading indicators of future IT spending.

Gartner has been delivering short analyses of these subject areas to clients in the form of reports, with the latest being Search Analytics Trends: Platform as a Service published on June 9, 2011.  This report covers user search activity from April, 2009 to March, 2011. For purposes of the report, Platform-as-a-Service (PaaS) is defined as cloud application infrastructure services delivered as a service.  Gartner makes the point that PaaS includes no traditional software license and is expensed on a metered or utility basis.  Presented below is the time series of searches by month from the report.

A few key take-aways emerge from the report, and they are presented below:

  • Cloud Middleware Services including Platform-as-a-Service (PaaS) are still unknown to many Gartner IT user clients.  As a result this area is seen with skepticism by many of their clients.  In studies of PaaS adoption from other analysts at Gartner and Forrester, it is evident that internal software development will make or break the credibility of PaaS initiatives for the long-term.
  • When Gartner IT users search for PaaS on the website and throughout online research, the four most common secondary terms are IaaS and SaaS (7.05%), Magic Quadrant (6.12%) and cloud (5.72%).  Clearly Gartner IT user clients are looking to define their own technology stack in this area and looking for a framework of reference of where PaaS fits into their own IT plans and architectures.  The competitive intensity across the analyst community will most likely go up as a result of the uncertainty many IT buyers have over PaaS.
  • The top three vendors that Gartner IT users search for are Microsoft (18%), Amazon (13%) and Tata (11%).  Additional vendors include IBM (11%), Salesforce.com (11%), SAP (7%), Google and Oracle (4%).

Bottom line: The key to PaaS adoption in larger enterprises, many of which are IT user clients of Gartner, is how successfully Independent Software Vendors (ISVs) clarify their value proposition and how their apps add value to the platform layer.

Jun 8

SaaS Start-up Metrics from an Investor’s Point of View: SaaS Math

Mark MacLeod, General Partner, Real Ventures is a frequent advisor and contributor to the efforts of the Canadian-based Medical and Related Sciences (MaRS) .  He often presents during their best practices speaking series and contributes to the organizations’ related incubator programs.

His latest presentation, SaaS Math, given on May 24th, is a pragmatic and hands-on look at which metrics are most relevant and valued by SaaS investors. I’ve included both the slides and video below.

Using Metrics to Define a Profitable SaaS Business Model

In this presentation Mr. MacLeod covers the key pricing decisions and metrics that need to be used for managing a recurring revenue business.  He also explores the most important customer metrics for new ventures including Average Revenue Per User (ARPU), Cost of Acquisition (CAC) and Customer Lifetime Value (CLTV).  Related metrics on acquisition, conversion, churn and referrals are also mentioned throughout the presentation and slides. He covers the specifics of SaaS pricing and how freemium can be effectively used in a SaaS business model.   He ends the discussion with an analysis of early stage valuations.

Bottom line: The presentation SaaS Math provides a useful framework of analytics for software companies looking to attain recurring revenue targets while still investing heavily to grow their businesses.

May 28

Succeeding with SaaS: Four Hot Tips For Start-Ups

Mark MacLeod, General Partner, Real Ventures, discusses four tips of how to succeed with a Software-as-a-Service (SaaS) start-up. Real Ventures is a Montreal based venture capital and private equity partnership that specializes in early-stage investments in web, mobile, software, digital media, social and casual gaming. The majority of its investments are at the seed level, between conceptualization and the validation of the business model. Funded companies include Fabric Technologies and MConcierge Systems. Typical funding rounds are below $500K with $1M being at the higher-end. 

Key take-aways from Mark MacLeod’s discussion on SaaS revenue models include the following key points:

  • Stakeholders and investors prefer recurring billing over one-time licenses – Investors in SaaS start-ups and seed investment rounds prefer recurring revenue models, as this approach reduces risk by providing greater revenue forecast accuracy. For customers, being able to forecast monthly costs makes recurring billing the most popular model on SaaS today. Mark also mentions how this fuels the dynamic of operating expense (OPEX) versus capital expense (CAPEX) budgeting on the part of customers. He makes the point that investors like the recurring revenue model because the lifetime value of customers can be more accurately tracked.       
  • Be data driven – The best-managed SaaS start-ups rely heavily on standard metrics and many of their own unique measures of performance to better understand and predict revenue and costs. Mark contends that all SaaS start-ups need to be data-driven to not only understand their existing customers, but also see how their levels of use and satisfaction are influencing potential new customers.  The best SaaS start-ups measure every aspect of application use and customer experience. These in-house custom analytics are a competitive advantage for any SaaS start-up, as these application-specific metrics can provide insights for further product development and customer loyalty programs.
  • Pricing decisions are the most complex to make– The greater the hard benefits in terms of measurable, recurring cost reduction or revenue generation, the greater the price that can be charged, according to Mark’s experiences funding SaaS start-ups. He also mentions the cost of a direct sales force, market position, and relative benefits delivered as factors in making a pricing decision.
  • Always go for customer prepay options when possible – Prepayment is critical for a SaaS start-up, not only for cash flow but more importantly because it shows that customers trust the application to deliver value over the long-term. It is a great proxy for how much value a customer sees in the application over time.

Jan 1

Google Insights Cloud Computing
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Roundup of Cloud Computing Forecasts and Market Estimates, 2011

During the last four months of 2010 the pace of published forecasts on cloud computing, IaaS, PaaS and SaaS forecasts quickened, yielding an eclectic and at times conflicting view of this emerging market. From the daily Google Alerts, RSS feeds, e-mail subscriptions and offers to buy research reports on cloud computing received, the pace is being matched by the variety of research being completed.


I did a quick review of the term “cloud computing” on Google Insights for Search, which produced the following graphic.  Google Insights for Search is an excellent analytical tool, as it will render a forecast based on previous results and show geographic concentrations.  Please click on the image to expand it for easier viewing.

Cloud Computing Was Gartner’s Most Popular Inquiry Topic Last Year

Gartner analyst Ben Pring sums it all up when he writes in the report, The Influence of Cloud in Outsourcing, 2010-2011 that cloud computing was the #1 area of inquiry for the advisory firm in 2010. The Google Insights analysis and the proliferation of reports underscore that point.

Before reviewing all these forecasts, it’s good to also take a look at the latest Gartner Hype Cycle for Cloud Computing, 2010.  Back in October 2010, Intel started offering it on their website for free.  You can get a copy of the Gartner Hype Cycle for Cloud Computing, 2010 by clicking here.

2011: When Cloud Computing Customer Results Became King

You can debate which area of the hype cycle the industry is on, yet after reviewing all these forecasts and projections the urgent need for real-world results is clear. As 2011 begins, any software company who has measurable results from customers, not just projections, of their cloud and SaaS-based strategies will be much further ahead of the mainstream.

Hopefully this year the research firms will cite more users than ever before an anchor these forecasts, as varied as they are, back to customer results.  That said, the energy and intensity going into forecasting the cloud computing and SaaS markets is impressive.

Here is the roundup of cloud computing forecasts and predictions for 2011:

  • Experton Group is forecasting that the German cloud computing market is forecast to grow from EUR 1.14 billion in 2010 to EUR 8.2 billion in 2015. This is equal to average annual growth of 48 percent. In 2015, cloud computing will account for around 10 percent of total IT expenditure in Germany. Around half of revenue in 2015 will be generated from cloud services, with a third coming from investment in cloud infrastructure, mainly data centres. The use of so-called ‘private clouds’ by businesses will account for EUR 2.6 billion in revenues by 2015, up from EUR 400 million in 2010. Source: http://professional.wsj.com/article/TPDMEUR00020101007e6a700061.html
  • Gartner analysts write in the report Predicts 2011: New Relationships Will Change BI and Analytics, that by 2013, 33% of business intelligence functionality will be consumed via handheld devices, and 15% of BI deployments will combine BI, collaboration and social software into decision-making environments. By 2014, 30% of analytic applications will use in-memory functions to add scale and computational speed. In addition, 30% of analytic applications will use proactive, predictive and forecasting capabilities and 40% of spending on business analytics will go to system integrators, not software vendors.  All of this is predicated on the security and scalability of cloud-based analytics.
    Source:  Predicts 2011: New Relationships Will Change BI and Analytics
  • TechMarketView predicts the value of the UK cloud computing market will more than double between now and 2014 from £2.4bn to £6.1bn according to the study UK Software and IT Services Market Forecast published in December by the firm.
  • MarketsandMarkets.com in their report, Cloud Computing Market – Global Forecast (2010 -2015) predicts that the global cloud computing market is expected to grow from $37.8 billion in 2010 to $121.1 billion in 2015 at a CAGR of 26.2% from 2010 to 2015. SaaS is the largest contributor in the cloud computing services market, accounting for 73% of the market’s revenues 2010. Source: http://www.marketsandmarkets.com/Market-Reports/cloud-computing-234.html
  • Renub Research has made the following predictions in their latest report titled Cloud Computing – SaaS, PaaS, IaaS Market, Mobile Cloud Computing, M&A, Investments, and Future Forecast, Worldwide.Here are the key take-aways from the summary sent to me of the study:
    • Worldwide Cloud Computing market is growing at a rapid rate and it is expected to cross $25 Billion by the end of 2013
    • Renub predicts the Platform as a Service (PaaS) market size will reach US$ 400 Million by the year 2013
    • Renub also predicts that Infrastructure as a Service (IaaS) market will increase at a CAGR value of 52.53% for the period spanning 2010 – 2013
    • US Federal IT budget devoted to Cloud Computing Spending will reach nearly US$ 1 Billion by 2014

Source: http://www.reportlinker.com/p0293136/Cloud-Computing-SaaS-PaaS-IaaS-Market-Mobile-Cloud-Computing-M-A-Investments-and-Future-Forecast-Worldwide.html

You can also find additional market forecasts in my post from July 19, 2010 titled Sizing the Cloud Computing Market and IDC Predicts SaaS Will Re-Order Software Landscape by 2012.

Happy New Year and I hope you find these links useful.  I’ve been tracking this activity a while and thought this would be a good time to publish the list.

Best Regards

Louis

Dec 22

2 Comments

Data Science Shows Potential To Redefine Cloud-based Analytics

The emerging field of data science is a fascinating one that has major implications on the potential of cloud-based analytics, CRM, search, supply chain management and logistics.

Instead of relying purely on latent semantic indexing or the Google PageRank algorithm to define relevance of a search, data science techniques analyze content and its context to determine relevance.  Google today looks at the content of a page; data science considers its surrounding data and relevance.

Earlier this month TechCrunch published the blog post Marissa Mayer’s Next Big Thing: “Contextual Discovery” — Google Results Without Search.  The techniques of contextual discovery Google is experimenting with rely on a very rapid aggregation and transforming of data, which are part of the methodologies of data science.   When Google moves fully into contextual discovery the potential exists for cloud-based analytics, CRM, search, supply chain management and logistics to be completely revolutionized by solving the big data problems associated with each of these areas.

In CRM, this would mean finally being able to access external and internal content (including the massive amount of data on social networks), aggregate the data, and transform it into meaningful analysis.  The vision of social CRM would be realized once data science serves as the catalyst of contextual search or as Google calls it, contextual discovery.

Exploring Data Science

Two of the best blog posts are both from O’Reilly Radar on the emerging topic of data science.  What is data science? By Mike Loukides and Six months after “What is data science?” by Mac Slocum O’Reilly Radar are worth reading and giving some serious thought to.  O’Reilly also has also created a free report titled What is Data Science, which can be downloaded here.

Authors Mike Loukides and Mac Slocum set the foundation for how transformational data science has the potential of being by concentrating on the nascent area of data products.  A data product is the result of accessing, aggregating and transforming content regardless of its location – and capturing data on its attributes – not just the data itself. Both authors point to reference systems and guided reference engines on e-commerce sites as just the beginning.  Yet after reading their assessments and listening to Roger Magoulas, O’Reilly’s Director of Research, interviewed about data science below there are many more potential uses of this evolving area.

Potential Impact of Data Science on Analytics

The blog posts by Mike Loukides and Mac Slocum go into detail explaining how each area of data science is in varying levels of maturity.  After reading these over and considering the big data problems in cloud-based analytics, CRM, search, supply chain management and logistics, the following methodology starts to make sense:

Access – For data science to realize its full potential there needs to be a technology layer that provides for real-time access to structured and unstructured content both within and outside an enterprise.  More than a traditional Enterprise Application Integration (EAI) layer the technologies driving data access need to selectively pull all available content from every unstructured and structured data source available.  Mike Loukides mentions Google Goggles and how MapReduce has made this application possible.  Hadoop as a means to create greater access across federated content has much potential in this phase as well.

Aggregate – Called data conditioning by Mike Loukides, the aggregation phase is where contextual discovery happens.  This could be accomplished through contextual search filters, taxonomies defined by specific alerts, or the use of the MapReduce and Hadoop query and relevance tools in use today.

Transform – Where Hadoop could be used for driving data analysis and as Mike Loukides calls this level of analysis, data jiujitsu.   Examples are mentioned by both Mike Loukides and Mac Slocum including the Hadoop Online Prototype (HOP), which does real-time stream processing and several others.  The impact of the access, aggregate and transform methodology on visualization is available at Flowing Data, one of the best sites on the Web for seeing how MapReduce, Hadoop and other data science-related techniques are taking on massive amounts of data and delivering insights.

Conclusion

Solving the big data problems of social media monitoring, sentiment analysis, forming a scalable platform for social CRM, integrating CRM, supply chain management and logistics data to demand management – and tying all of these areas to financial performance – is potentially achievable with data science.  Deployed as a cloud-based platform opens up even greater potential for getting the most use of social networks, free data sources, and third-party databases than is possible today.

Be sure to check out the video below of Roger Magoulas, O’Reilly’s Director of Research, where he was interviewed about data science.

Article links:

What is data science? By Mike Loukides  O’Reilly Radar
Six months after “What is data science?”  by Mac Slocum O’Reilly Radar

Dec 17

Windows Azure AppFabric Update

Microsoft’s cloud-based middleware platform, Azure AppFabric, is designed to streamline the development, deployment and support of applications on the Windows Azure platform.   The Azure AppFabric initiative serves as  the foundation of the Platform-as-a-Service (PaaS) in the Windows Azure stack as well.

Microsoft is supporting four types of multitenancy with Azure AppFabric. These types of multitenancy are explained in the presentation, with an analysis by Gartner of the multitenancy options also provided.  You will find a link to the Gartner research note below.

AppService Bus Is Key To Integration in Windows Azure. The AppFabric Service Bus is an interesting integration concept Microsoft is working on right now, as its design goal is to connect systems and content outside the firewalls of companies, unifying it with internal, often legacy systems’ data.  How ServiceBus will define context has not been shared by Microsoft.  That however will be interesting to see, as contextual content in this type of configuration has much potential for redefining internal search.

Usability is King. Azure’s design objective for a usability standpoint  is to deliver the content to any device, anywhere in the world, at any time.  It is a very ambitious project and the following presentation does an excellent job of putting Azure AppFabric into context.

Research note from Gartner. Yefim Natis,  David Mitchell Smith, David Cearley have written an insightful research note on AppFabric’s current status (as of November, 2010) and have also defined in detail its architectural components. Here is the research note:  Windows Azure AppFabric: A Strategic Core of Microsoft’s Cloud Platform.



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