Tag Archives: IT

The Financial Incentive for Health Information Exchanges

By Jim Hietala, VP, Security, The Open Group

Health IT professionals have always known that interoperability would be one of the most important aspects of the Affordable Care Act (ACA). Now doctors have financial incentive to be proactive in taking part in the process of exchange information between computer systems.

According to a recent article in MedPage Today, doctors are now “clamoring” for access to patient information ahead of the deadlines for the government’s “meaningful use” program. Doctors and hospitals will get hit with fines for not knowing about patients’ health histories, for patient readmissions and unnecessary retesting. “Meaningful use” refers to provisions in the 2009 Health Information Technology for Economic and Clinical Health (HITECH) Act, which authorized incentive payments through Medicare and Medicaid to clinicians and hospitals that use electronic health records in a meaningful way that significantly improves clinical care.
Doctors who accept Medicare will find themselves penalized for not adopting or successfully demonstrating meaningful use of a certified electronic health record (EHR) technology by 2015. Health professionals’ Medicare physician fee schedule amount for covered professional services will be adjusted down by 1% each year for certain categories.  If less than 75% of Eligible Professionals (EPs) have become meaningful users of EHRs by 2018, the adjustment will change by 1% point each year to a maximum of 5% (95% of Medicare covered amount).

With the stick, there’s also a carrot. The Medicare and Medicaid EHR Incentive Programs provide incentive payments to eligible professionals, eligible hospitals and critical access hospitals (CAHs) as they adopt, implement, upgrade or demonstrate meaningful use of certified EHR technology. Eligible professionals can receive up to $44,000 through the Medicare EHR Incentive Program and up to $63,750 through the Medicaid EHR Incentive Program.

According to HealthIT.Gov, interoperability is essential for applications that interact with users (such as e-prescribing), systems that communicate with each other (such as messaging standards) information processes and management (such as health information exchange) how consumer devices integrate with other systems and applications (such as tablet, smart phones and PCs).

The good news is that more and more hospitals and doctors are participating in data exchanges and sharing patient information. On January 30th, the eHealth Exchange, formerly the Nationwide Health Information Network, and operated by Healtheway, reported a surge in network participation numbers and increases in secure online transactions among members.

According to the news release, membership in the eHealth Exchange is currently pegged at 41 participants who together represent some 800 hospitals, 6,000 mid-to-large medical groups, 800 dialysis centers and 850 retail pharmacies nationwide. Some of the earliest members to sign on with the exchange were the Veterans Health Administration, Department of Defense, Kaiser Permanente, the Social Security Administration and Dignity Health.

While the progress in health information exchanges is good, there is still much work to do in defining standards, so that the right information is available at the right time and place to enable better patient care. Devices are emerging that can capture continuous information on our health status. The information captured by these devices can enable better outcomes, but only if the information is made readily available to medical professionals.

The Open Group recently formed The Open Group Healthcare Forum, which focuses on bringing  Boundaryless Information Flow™ to the healthcare industry enabling data to flow more easily throughout the complete healthcare ecosystem.  By leveraging the discipline and principles of Enterprise Architecture, including TOGAF®, an Open Group standard, the forum aims to develop standardized vocabulary and messaging that will result in higher quality outcomes, streamlined business practices and innovation within the industry.

62940-hietalaJim Hietala, CISSP, GSEC, is the Vice President, Security for The Open Group, where he manages all IT security, risk management and healthcare programs and standards activities. He participates in the SANS Analyst/Expert program and has also published numerous articles on information security, risk management, and compliance topics in publications including The ISSA Journal, Bank Accounting & Finance, Risk Factor, SC Magazine, and others.

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Evolving Business and Technology Toward an Open Platform 3.0™

By Dave Lounsbury, Chief Technical Officer, The Open Group

The role of IT within the business is one that constantly evolves and changes. If you’ve been in the technology industry long enough, you’ve likely had the privilege of seeing IT grow to become integral to how businesses and organizations function.

In his recent keynote “Just Exactly What Is Going On in Business and Technology?” at The Open Group London Conference in October, Andy Mulholland, former Global Chief Technology Officer at Capgemini, discussed how the role of IT has changed from being traditionally internally focused (inside the firewall, proprietary, a few massive applications, controlled by IT) to one that is increasingly externally focused (outside the firewall, open systems, lots of small applications, increasingly controlled by users). This is due to the rise of a number of disruptive forces currently affecting the industry such as BYOD, Cloud, social media tools, Big Data, the Internet of Things, cognitive computing. As Mulholland pointed out, IT today is about how people are using technology in the front office. They are bringing their own devices, they are using apps to get outside of the firewall, they are moving further and further away from traditional “back office” IT.

Due to the rise of the Internet, the client/server model of the 1980s and 1990s that kept everything within the enterprise is no more. That model has been subsumed by a model in which development is fast and iterative and information is constantly being pushed and pulled primarily from outside organizations. The current model is also increasingly mobile, allowing users to get the information they need anytime and anywhere from any device.

At the same time, there is a push from business and management for increasingly rapid turnaround times and smaller scale projects that are, more often than not, being sourced via Cloud services. The focus of these projects is on innovating business models and acting in areas where the competition does not act. These forces are causing polarization within IT departments between internal IT operations based on legacy systems and new external operations serving buyers in business functions that are sourcing their own services through Cloud-based apps.

Just as UNIX® provided a standard platform for applications on single computers and the combination of servers, PCs and the Internet provided a second platform for web apps and services, we now need a new platform to support the apps and services that use cloud, social, mobile, big data and the Internet of Things. Rather than merely aligning with business goals or enabling business, the next platform will be embedded within the business as an integral element bringing together users, activity and data. To work properly, this must be a standard platform so that these things can work together effectively and at low cost, providing vendors a worthwhile market for their products.

Industry pundits have already begun to talk about this layer of technology. Gartner calls it the “Nexus of Forces.” IDC calls it the “third platform.” At the The Open Group, we refer to it as Open Platform 3.0™, and we announced a new Forum to address how organizations can address and support these technologies earlier this year. Open Platform 3.0 is meant to enable organizations (including standards bodies, users and vendors) coordinate their approaches to the new business models and IT practices driving the new platform to support a new generation of interoperable business solutions.

As is always the case with technologies, a point is reached where technical innovation must transition to business benefit. Open Platform 3.0 is, in essence, the next evolution of computing. To help the industry sort through these changes and create vendor-neutral standards that foster the cohesive adoption of new technologies, The Open Group must also evolve its focus and standards to respond to where the industry is headed.

The work of the Open Platform 3.0 Forum has already begun. Initial actions for the Forum have been identified and were shared during the London conference.  Our recent survey on Convergent Technologies confirmed the need to address these issues. Of those surveyed, 95 percent of respondents felt that converged technologies were an opportunity for business, and 84 percent of solution providers are already dealing with two or more of these technologies in combination. Respondents also saw vendor lock-in as a potential hindrance to using these technologies underscoring the need for an industry standard that will address interoperability. In addition to the survey, the Forum has also produced an initial Business Scenario to begin to address these industry needs and formulate requirements for this new platform.

If you have any questions about Open Platform 3.0 or if you would like to join the new Forum, please contact Chris Harding (c.harding@opengroup.org) for queries regarding the Forum or Chris Parnell (c.parnell@opengroup.org) for queries regarding membership.

 

Dave LounsburyDave is Chief Technical Officer (CTO) and Vice President, Services for The Open Group. As CTO, he ensures that The Open Group’s people and IT resources are effectively used to implement the organization’s strategy and mission.  As VP of Services, Dave leads the delivery of The Open Group’s proven collaboration processes for collaboration and certification both within the organization and in support of third-party consortia. Dave holds a degree in Electrical Engineering from Worcester Polytechnic Institute, and is holder of three U.S. patents.

 

 

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Flexibility, Agility and Open Standards

By Jose M. Sanchez Knaack, IBM

Flexibility and agility are terms used almost interchangeably these days as attributes of IT architectures designed to cope with rapidly changing business requirements. Did you ever wonder if they are actually the same? Don’t you have the feeling that these terms remain abstract and without a concrete link to the design of an IT architecture?

This post searches to provide clear definitions for both flexibility and agility, and explain how both relate to the design of IT architectures that exploit open standards. A ‘real-life’ example will help to understand these concepts and render them relevant to the Enterprise Architect’s daily job.

First, here is some context on why flexibility and agility are increasingly important for businesses. Today, the average smart phone has more computing power than the original Apollo mission to the moon. We live in times of exponential change; the new technological revolution seems to be always around the corner and is safe to state that the trend will continue as nicely visualized in this infographic by TIME Magazine.

The average lifetime of a company in the S&P 500 has fallen by 80 percent since 1937. In other words, companies need to adapt fast to capitalize on business opportunities created by new technologies at the price of loosing their leadership position.

Thus, flexibility and agility have become ever present business goals that need to be supported by the underlying IT architecture. But, what is the precise meaning of these two terms? The online Merriam-Webster dictionary offers the following definitions:

Flexible: characterized by a ready capability to adapt to new, different, or changing requirements.

Agile: marked by ready ability to move with quick easy grace.

To understand how these terms relate to IT architecture, let us explore an example based on an Enterprise Service Bus (ESB) scenario.

An ESB can be seen as the foundation for a flexible IT architecture allowing companies to integrate applications (processes) written in different programming languages and running on different platforms within and outside the corporate firewall.

ESB products are normally equipped with a set of pre-built adapters that allow integrating 70-80 percent of applications ‘out-of-the-box’, without additional programming efforts. For the remaining 20-30 percent of integration requirements, it is possible to develop custom adapters so that any application can be integrated with any other if required.

In other words, an ESB covers requirements regarding integration flexibility, that is, it can cope with changing requirements in terms of integrating additional applications via adapters, ‘out-of-the-box’ or custom built. How does this integration flexibility correlate to integration agility?

Let’s think of a scenario where the IT team has been requested to integrate an old manufacturing application with a new business partner. The integration needs to be ready within one month; otherwise the targeted business opportunity will not apply anymore.

The picture below shows the underlying IT architecture for this integration scenario.

jose diagram

Although the ESB is able to integrate the old manufacturing application, it requires an adapter to be custom developed since the application does not support any of the communication protocols covered by the pre-built adapters. To custom develop, test and deploy an adapter in a corporate environment is likely going to take longer that a month and the business opportunity will be lost because the IT architecture was not agile enough.

This is the subtle difference between flexible and agile.

Notice that if the manufacturing application had been able to communicate via open standards, the corresponding pre-built adapter would have significantly shortened the time required to integrate this application. Applications that do not support open standards still exist in corporate IT landscapes, like the above scenario illustrates. Thus, the importance of incorporating open standards when road mapping your IT architecture.

The key takeaway is that your architecture principles need to favor information technology built on open standards, and for that, you can leverage The Open Group Architecture Principle 20 on Interoperability.

Name Interoperability
Statement Software and hardware should conform to defined standards that promote interoperability for data, applications, and technology.

In summary, the accelerating pace of change requires corporate IT architectures to support the business goals of flexibility and agility. Establishing architecture principles that favor open standards as part of your architecture governance framework is one proven approach (although not the only one) to road map your IT architecture in the pursuit of resiliency.

linkedin - CopyJose M. Sanchez Knaack is Senior Manager with IBM Global Business Services in Switzerland. Mr. Sanchez Knaack professional background covers business aligned IT architecture strategy and complex system integration at global technology enabled transformation initiatives.

 

 

 

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Data Governance: A Fundamental Aspect of IT

By E.G. Nadhan, HP

In an earlier post, I had explained how you can build upon SOA governance to realize Cloud governance.  But underlying both paradigms is a fundamental aspect that we have been dealing with ever since the dawn of IT—and that’s the data itself.

In fact, IT used to be referred to as “data processing.” Despite the continuing evolution of IT through various platforms, technologies, architectures and tools, at the end of the day IT is still processing data. However, the data has taken multiple shapes and forms—both structured and unstructured. And Cloud Computing has opened up opportunities to process and store structured and unstructured data. There has been a need for data governance since the day data processing was born, and today, it’s taken on a whole new dimension.

“It’s the economy, stupid,” was a campaign slogan, coined to win a critical election in the United States in 1992. Today, the campaign slogan for governance in the land of IT should be, “It’s the data, stupid!”

Let us challenge ourselves with a few questions. Consider them the what, why, when, where, who and how of data governance.

What is data governance? It is the mechanism by which we ensure that the right corporate data is available to the right people, at the right time, in the right format, with the right context, through the right channels.

Why is data governance needed? The Cloud, social networking and user-owned devices (BYOD) have acted as catalysts, triggering an unprecedented growth in recent years. We need to control and understand the data we are dealing with in order to process it effectively and securely.

When should data governance be exercised? Well, when shouldn’t it be? Data governance kicks in at the source, where the data enters the enterprise. It continues across the information lifecycle, as data is processed and consumed to address business needs. And it is also essential when data is archived and/or purged.

Where does data governance apply? It applies to all business units and across all processes. Data governance has a critical role to play at the point of storage—the final checkpoint before it is stored as “golden” in a database. Data Governance also applies across all layers of the architecture:

  • Presentation layer where the data enters the enterprise
  • Business logic layer where the business rules are applied to the data
  • Integration layer where data is routed
  • Storage layer where data finds its home

Who does data governance apply to? It applies to all business leaders, consumers, generators and administrators of data. It is a good idea to identify stewards for the ownership of key data domains. Stewards must ensure that their data domains abide by the enterprise architectural principles.  Stewards should continuously analyze the impact of various business events to their domains.

How is data governance applied? Data governance must be exercised at the enterprise level with federated governance to individual business units and data domains. It should be proactively exercised when a new process, application, repository or interface is introduced.  Existing data is likely to be impacted.  In the absence of effective data governance, data is likely to be duplicated, either by chance or by choice.

In our data universe, “informationalization” yields valuable intelligence that enables effective decision-making and analysis. However, even having the best people, process and technology is not going to yield the desired outcomes if the underlying data is suspect.

How about you? How is the data in your enterprise? What governance measures do you have in place? I would like to know.

A version of this blog post was originally published on HP’s Journey through Enterprise IT Services blog.

NadhanHP Distinguished Technologist and Cloud Advisor, E.G.Nadhan has more than 25 years of experience in the IT industry across the complete spectrum of selling, delivering and managing enterprise level solutions for HP customers. He is the founding co-chair for The Open Group SOCCI project, and is also the founding co-chair for the Open Group Cloud Computing Governance project. Connect with Nadhan on: Twitter, Facebook, LinkedIn and Journey Blog.

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2013 Open Group Predictions, Vol. 1

By The Open Group

A big thank you to all of our members and staff who have made 2012 another great year for The Open Group. There were many notable achievements this year, including the release of ArchiMate 2.0, the launch of the Future Airborne Capability Environment (FACE™) Technical Standard and the publication of the SOA Reference Architecture (SOA RA) and the Service-Oriented Cloud Computing Infrastructure Framework (SOCCI).

As we wrap up 2012, we couldn’t help but look towards what is to come in 2013 for The Open Group and the industries we‘re a part of. Without further ado, here they are:

Big Data
By Dave Lounsbury, Chief Technical Officer

Big Data is on top of everyone’s mind these days. Consumerization, mobile smart devices, and expanding retail and sensor networks are generating massive amounts of data on behavior, environment, location, buying patterns – etc. – producing what is being called “Big Data”. In addition, as the use of personal devices and social networks continue to gain popularity so does the expectation to have access to such data and the computational power to use it anytime, anywhere. Organizations will turn to IT to restructure its services so it meets the growing expectation of control and access to data.

Organizations must embrace Big Data to drive their decision-making and to provide the optimal service mix services to customers. Big Data is becoming so big that the big challenge is how to use it to make timely decisions. IT naturally focuses on collecting data so Big Data itself is not an issue.. To allow humans to keep on top of this flood of data, industry will need to move away from programming computers for storing and processing data to teaching computers how to assess large amounts of uncorrelated data and draw inferences from this data on their own. We also need to start thinking about the skills that people need in the IT world to not only handle Big Data, but to make it actionable. Do we need “Data Architects” and if so, what would their role be?

In 2013, we will see the beginning of the Intellectual Computing era. IT will play an essential role in this new era and will need to help enterprises look at uncorrelated data to find the answer.

Security

By Jim Hietala, Vice President of Security

As 2012 comes to a close, some of the big developments in security over the past year include:

  • Continuation of hacktivism attacks.
  • Increase of significant and persistent threats targeting government and large enterprises. The notable U.S. National Strategy for Trusted Identities in Cyberspace started to make progress in the second half of the year in terms of industry and government movement to address fundamental security issues.
  • Security breaches were discovered by third parties, where the organizations affected had no idea that they were breached. Data from the 2012 Verizon report suggests that 92 percent of companies breached were notified by a third party.
  • Acknowledgement from senior U.S. cybersecurity professionals that organizations fall into two groups: those that know they’ve been penetrated, and those that have been penetrated, but don’t yet know it.

In 2013, we’ll no doubt see more of the same on the attack front, plus increased focus on mobile attack vectors. We’ll also see more focus on detective security controls, reflecting greater awareness of the threat and on the reality that many large organizations have already been penetrated, and therefore responding appropriately requires far more attention on detection and incident response.

We’ll also likely see the U.S. move forward with cybersecurity guidance from the executive branch, in the form of a Presidential directive. New national cybersecurity legislation seemed to come close to happening in 2012, and when it failed to become a reality, there were many indications that the administration would make something happen by executive order.

Enterprise Architecture

By Leonard Fehskens, Vice President of Skills and Capabilities

Preparatory to my looking back at 2012 and forward to 2013, I reviewed what I wrote last year about 2011 and 2012.

Probably the most significant thing from my perspective is that so little has changed. In fact, I think in many respects the confusion about what Enterprise Architecture (EA) and Business Architecture are about has gotten worse.

The stress within the EA community as both the demands being placed on it and the diversity of opinion within it increase continues to grow.  This year, I saw a lot more concern about the value proposition for EA, but not a lot of (read “almost no”) convergence on what that value proposition is.

Last year I wrote “As I expected at this time last year, the conventional wisdom about Enterprise Architecture continues to spin its wheels.”  No need to change a word of that. What little progress at the leading edge was made in 2011 seems to have had no effect in 2012. I think this is largely a consequence of the dust thrown in the eyes of the community by the ascendance of the concept of “Business Architecture,” which is still struggling to define itself.  Business Architecture seems to me to have supplanted last year’s infatuation with “enterprise transformation” as the means of compensating for the EA community’s entrenched IT-centric perspective.

I think this trend and the quest for a value proposition are symptomatic of the same thing — the urgent need for Enterprise Architecture to make its case to its stakeholder community, especially to the people who are paying the bills. Something I saw in 2011 that became almost epidemic in 2012 is conflation — the inclusion under the Enterprise Architecture umbrella of nearly anything with the slightest taste of “business” to it. This has had the unfortunate effect of further obscuring the unique contribution of Enterprise Architecture, which is to bring architectural thinking to bear on the design of human enterprise.

So, while I’m not quite mired in the slough of despond, I am discouraged by the community’s inability to advance the state of the art. In a private communication to some colleagues I wrote, “the conventional wisdom on EA is at about the same state of maturity as 14th century cosmology. It is obvious to even the most casual observer that the earth is both flat and the center of the universe. We debate what happens when you fall off the edge of the Earth, and is the flat earth carried on the back of a turtle or an elephant?  Does the walking of the turtle or elephant rotate the crystalline sphere of the heavens, or does the rotation of the sphere require the turtlephant to walk to keep the earth level?  These are obviously the questions we need to answer.”

Cloud

By Chris Harding, Director of Interoperability

2012 has seen the establishment of Cloud Computing as a mainstream resource for enterprise architects and the emergence of Big Data as the latest hot topic, likely to be mainstream for the future. Meanwhile, Service-Oriented Architecture (SOA) has kept its position as an architectural style of choice for delivering distributed solutions, and the move to ever more powerful mobile devices continues. These trends have been reflected in the activities of our Cloud Computing Work Group and in the continuing support by members of our SOA work.

The use of Cloud, Mobile Computing, and Big Data to deliver on-line systems that are available anywhere at any time is setting a new norm for customer expectations. In 2013, we will see the development of Enterprise Architecture practice to ensure the consistent delivery of these systems by IT professionals, and to support the evolution of creative new computing solutions.

IT systems are there to enable the business to operate more effectively. Customers expect constant on-line access through mobile and other devices. Business organizations work better when they focus on their core capabilities, and let external service providers take care of the rest. On-line data is a huge resource, so far largely untapped. Distributed, Cloud-enabled systems, using Big Data, and architected on service-oriented principles, are the best enablers of effective business operations. There will be a convergence of SOA, Mobility, Cloud Computing, and Big Data as they are seen from the overall perspective of the enterprise architect.

Within The Open Group, the SOA and Cloud Work Groups will continue their individual work, and will collaborate with other forums and work groups, and with outside organizations, to foster the convergence of IT disciplines for distributed computing.

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The Cloud Infrastructure for Next-Generation – Big Data Computing

By Pethuru Raj, Wipro Consulting Services

There are several remarkable trends in the IT field. Business-automation and acceleration technologies, open and industry-strength standards, adaptive architectures, facilitating frameworks, best practices for software engineering, converged platforms, Cloud infrastructures, lean processes, design patterns, enabling tools, and key implementation guidelines are flourishing for simplified IT, which is more tuned for business and customer-centricity. Businesses are consciously striving to achieve strategic transformations on their business operation model, the information captured, catalogued and stocked, and for sharply enhancing the user-experience in the extremely connected world.

The device ecosystem is growing faster with the ready availability of gadgets for personal and professional use. The application landscape is on the climb with the addition of Cloud, social, mobile and sensor services. Then, there are introspective middleware solutions built to integrate disparate, distributed and decentralised systems and data sources. Amongst the most captivating technologies, the Cloud technology stands out.

Clouds as the next-generation IT Infrastructure

As we all know, the Cloud paradigm has laid the foundation for fulfilling the grand vision of IT infrastructure optimization through a seamless synchronization of several enterprise-scale and mission-critical technologies. This pioneering evolution has impacted business as well as IT. Clouds are being positioned as the highly consolidated, virtualized, and shared and automated IT environments for hosting and compactly delivering a galaxy of diverse IT resources and business services for anyone, anytime and anywhere through any device and service. That is, all kinds of services, applications and data are now being modernized and migrated to Cloud platforms and infrastructures in order to reap all the Cloud’s benefits to end users and businesses.

Cloud Computing has become a versatile IT phenomenon and has inspired many to come out with a number of -centric services, products and platforms that facilitate scores of rich applications. There have also been a variety of generic and specific innovations in the form of best practices   for managing the rising complexity of IT and enhancing IT agility, autonomy and affordability.

All of the improvisations happening in the IT landscape with the adaption of Cloud are helping worldwide business enterprises to achieve the venerable mission of “achieving more with less.” Thus, Cloud as the core infrastructure and driver behind the business changes taking place today lead to   a brighter future for all businesses.

The Eruption of Big Data Computing

The most noteworthy trend today is the data explosion. As there are more machines and sensors deployed and managed in our everyday environments, machine-generated data has become much larger than the man-generated data. Furthermore, the data structure varies from non-structured to semi-structured and structured style, and there are pressures to unearth fresh database systems, such as Cloud-based NoSQL databases in order to swiftly capture, store, access and retrieve large-scale and multi-structured data.

Data velocity is another critical factor to be considered in order to extract actionable insights and to contemplate the next-course of actions. There are Cloud integration appliances and solutions in order to effortlessly integrate date across Clouds – private, public and hybrid.

Besides Big Data storage and management, Big Data analytics has become increasingly important as data across Cloud, social, mobile and enterprise spaces needs to be identified and aggregated, subjected to data mining, processing and analysis tasks through well-defined policies in order to benefit any organization. The Hadoop framework, commodity hardware and specific data appliances are the prominent methods being used to accommodate terabytes and even petabytes of incongruent data, empowering executives, entrepreneurs and engineers to make informed decisions with actionable data. The data architecture for new-generation enterprises will go through a tectonic shift, and leading market watchers predict that Big Data management and intelligence will become common and led to the demise of conventional data management solutions.

Clouds are set to become the optimised, adaptive and real-time infrastructure for Big Data storage, management and analysis. I have authored a book with the title, “Cloud Enterprise Architecture.” I have written extensively about the positive impacts of the transformative and disruptive Cloud technology on enterprises. I have also written about the futuristic enterprise data architecture with the maturity and stability of the Cloud paradigm.  In a nutshell, with Cloud in connivance with mobile, social and analytic technologies, the aspects such as business acceleration, automation and augmentation are bound to see a drastic and decisive growth.

Dr. Pethuru Raj is an enterprise architecture (EA) consultant in Wipro Technologies, Bangalore, India. He has been providing technology advisory service for worldwide companies for smoothly enabling them to transition into smarter organizations. He has been writing book chapters for a number of technology books (BPM, SOA, Cloud Computing, enterprise architecture, and Big Data) being edited by internationally acclaimed professors and professionals. He has authored a solo book with the title “Cloud Enterprise Architecture” through the CRC Press, USA. 

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Build Upon SOA Governance to Realize Cloud Governance

By E.G. Nadhan, HP

The Open Group SOA Governance Framework just became an International Standard available to government and enterprises worldwide. At the same time, I read an insightful post by ZDNet Blogger, Joe McKendrick who states that Cloud and automation drive new growth in SOA governance market. I have always maintained that the fundamentals of Cloud Computing are based upon SOA principles. This brings up the next natural question: Where are we with Cloud Governance?

I co-chair the Open Group project for defining the Cloud Governance framework. Fundamentally, the Cloud Governance framework builds upon The Open Group SOA Governance Framework and provides additional context for Cloud Governance in relation to other governance standards in the industry. We are with Cloud Governance today where we were with SOA Governance a few years back when The Open Group started on the SOA Governance framework project.

McKendrick goes on to say that the tools and methodologies built and stabilized over the past few years for SOA projects are seeing renewed life as enterprises move to the Cloud model. In McKendrick’s words, “it is just a matter of getting the word out.” That may be the case for the SOA governance market. But, is that so for Cloud Governance?

When it comes to Cloud Governance, it is more than just getting the word out. We must make progress in the following areas for Cloud Governance to become real:

  • Sustained adoption. Enterprises must continuously adopt cloud based services balancing it with outsourcing alternatives. This will give more visibility to the real-life use cases where Cloud Governance can be exercised to validate and refine the enabling set of governance models.
  • Framework Definition. Finally, Cloud Governance needs a standard framework to facilitate its adoption. Just like the SOA Governance Framework, the definition of a standard for the Cloud Governance Framework as well as the supporting reference models will pave the way for the consistent adoption of Cloud Governance.

Once these progressions are made, Cloud Governance will be positioned like SOA Governance—and it will then be just a “matter of getting the word out.”

A version of this blog post originally appeared on the Journey through Enterprise IT Services Blog.

HP Distinguished Technologist and Cloud Advisor, E.G.Nadhan has over 25 years of experience in the IT industry across the complete spectrum of selling, delivering and managing enterprise level solutions for HP customers. He is the founding co-chair for The Open Group SOCCI project and is also the founding co-chair for the Open Group Cloud Computing Governance project. Connect with Nadhan on: Twitter, Facebook, Linkedin and Journey Blog.

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