Welcome!

Recurring Revenue Authors: Pat Romanski, Elizabeth White, Yeshim Deniz, Liz McMillan, Xenia von Wedel

Related Topics: Java IoT, Microservices Expo, IBM Cloud, Weblogic, Release Management , Recurring Revenue, Artificial Intelligence, Log Management, Server Monitoring

Java IoT: Blog Feed Post

Perhaps SOA is More Strategy Than Architecture

So, based on this thesis, is SOA really architecture, or is it simply a strategy for business transformation?

On Thursday, September 10th, 2009, I moderated a panel at the 1105 Group’s Enterprise Architecture Conference in Washington, DC entitled, “SOA Goes Mainstream – An Industry and Government Roadmap.”  On the panel we had two Federal government agency representatives and two industry representatives, with one of the industry representatives providing a FedEx case study as the basis for their SOA experiences.

As expected, each of the panelists’ SOA experiences was varied, with no two taking an identical approach.  However, the interesting tidbit of information I garnered from moderating this panel is that after a couple of years of effort, some approximation of a methodology that is termed “SOA”, which is specific to each organization, emerged and started delivering value to the organization.

Granted, I have been one of the louder proponents calling for agreement on the use of the term ‘SOA’ because I believe that without common agreement a term is relatively meaningless—I still believe this is true.  However, in opening myself up to the idea that SOA may be more of a concept than an actual architectural approach, it became clear to me that that each organization may also organically formulate their own approximation of SOA that meets the needs of their business as functional components, or services.  Moreover, each business’ approach toward SOA will most likely look completely different than any other business’ approach, their pain points will be different and their approach toward measuring success will be different.

For me, this is a startling revelation surrounding SOA.  If one looks at the supporting industry infrastructure that has built up around the term SOA—software, training, methodologies, blueprints, etc.—the realization that each organization may ultimately need to tailor the general concepts into something that is different from organization to organization, minimizes these efforts to nothing more than templates or patterns to use as a starting point.  Moreover, it’s quite possible that the only consistent aspect of SOA from organization to organization may be the road to adoption.

This also raises the need to re-evaluate earlier claims regarding the “Death of SOA” and SOA’s “trough of disillusionment.”   If a consistent part of each organization’s early SOA efforts is represented by this tailoring effort, then perhaps some of these early failures are nothing more than part of the process analogous to the caterpillar spinning its cocoon and then working its way into becoming a butterfly.  It does seem from my research that there is a consistent pattern among SOA adopters that successes seem to be more prevalent in the second and third years of SOA initiatives.  Moreover, if we know this information going into an SOA effort, we can better manage expectations of the business with regard to Return-on-Investment (ROI) and time frames.  Most of all, if the tailoring effort is a known part of the process, then unrealistic expectations can be removed from the practitioners, allowing them to focus on reaching successful ends.

Note, this realization does not mitigate the enterprise architecture efforts that must accompany, or more accurately, precede an SOA effort in order to ensure success.  This realization is focused solely on the transformation of the business based on the EA artifacts and a building a service-oriented methodology to support that transformation.  Thus, SOA is effectively the transition plan for the organization to maximize its resources, applying a ‘once-and-only-once’ mantra toward development efforts and align the technology imperatives with the business goals and functions.

So, based on this thesis, is SOA really architecture, or is it simply a strategy for business transformation?

Read the original blog entry...

More Stories By JP Morgenthal

JP Morgenthal is a veteran IT solutions executive and Distinguished Engineer with CSC. He has been delivering IT services to business leaders for the past 30 years and is a recognized thought-leader in applying emerging technology for business growth and innovation. JP's strengths center around transformation and modernization leveraging next generation platforms and technologies. He has held technical executive roles in multiple businesses including: CTO, Chief Architect and Founder/CEO. Areas of expertise for JP include strategy, architecture, application development, infrastructure and operations, cloud computing, DevOps, and integration. JP is a published author with four trade publications with his most recent being “Cloud Computing: Assessing the Risks”. JP holds both a Masters and Bachelors of Science in Computer Science from Hofstra University.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...