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The Five Basic Characteristics of SOA

If these measurements apply, you can call it SOA, at least in my world

The Gartner Group just listed "9 ways to measure SOA success.” Not to take anything away from Gartner, but theirs is a pretty basic list, if you ask me.  Indeed, these nine measurements are really about any successful architecture, using SOA approaches or not, which is fine. However, I have a few of my own that are more specific to SOA.

Here are Gartner's nine:

1. Improved efficiency, particularly with respect to business processes execution.

2. Lower process administrative costs.

3. Higher visibility on existing/running business processes.

4. Reduced number of manual, paper-based steps.

5. Better service-level effectiveness.

6. Quicker implementation of processes.

7. Quicker time to market.

8. Shorter (overall) project cycles.

9. Overall reduction in the total cost of application development and maintenance.

However, I have a few of my own that are more specific to SOA.

1. The ability to alter schemas without affecting services and/or processes. You've created an architecture that's able to accommodate changes to the underlying data structures without driving redevelopment of any services or processes that leverage that data structure.

2. The ability to alter services and/or processes, without altering schemas. The same concept as No. 1, but we're just going the other way. The issue here is that SOA architects often fail to consider agility in the context of data abstraction. In many instances, data is bound to services, processes, or both, and thus any changes to those services and/or processes drives changes to the schema, and the other way around. In order to get the full benefit of the architecture, you need to figure out how to abstract these changes in either direction.

3. The ability to create and alter core business processes using a configuration rather than a programming approach. The idea is to place volatility into a single domain, such as a process/orchestration layer or a composite (aka mashups), thus avoiding constant redevelopment and testing. This is key to your success, considering that we are going to change many business processes going forward, but typically should not change many services. Therefore, you want to make sure that any changes to business processes don’t drive waves of redevelopment. In essence, it’s a configuration solution, not a programming problem.

4. The ability to leverage processes and services from outside of the enterprise, such as from a cloud computing provider. We're clearly moving in this direction, and much of the motivation behind SOA is the ability to make this type of convergence easy. Architecture should consider that services are pervasive, and can come from within or outside of the enterprise. This frees up those who build business applications to be more creative and productive. Don’t be afraid of extending your architecture to the clouds.

5. The ability to expose processes and services from inside of the enterprise. In short, going the other direction as No. 4. Same benefit, just the other direction. If these measurements apply, you can call it SOA, at least in my world. At issue is that many are losing perspective when it comes to SOA. SOA is an architectural pattern that provides an additional benefit of agility, or the ability for the architecture to change as needed to support the business. Often, this is overlooked in favor of more easy to conceive and technology-oriented concepts. However, going down that road won’t even provide you with the core benefits you’ll need to justify doing a SOA. Trust me.

More Stories By David Linthicum

David Linthicum is the Chief Cloud Strategy Officer at Deloitte Consulting, and was just named the #1 cloud influencer via a recent major report by Apollo Research. He is a cloud computing thought leader, executive, consultant, author, and speaker. He has been a CTO five times for both public and private companies, and a CEO two times in the last 25 years.

Few individuals are true giants of cloud computing, but David's achievements, reputation, and stellar leadership has earned him a lofty position within the industry. It's not just that he is a top thought leader in the cloud computing universe, but he is often the visionary that the wider media invites to offer its readers, listeners and viewers a peek inside the technology that is reshaping businesses every day.

With more than 13 books on computing, more than 5,000 published articles, more than 500 conference presentations and numerous appearances on radio and TV programs, he has spent the last 20 years leading, showing, and teaching businesses how to use resources more productively and innovate constantly. He has expanded the vision of both startups and established corporations as to what is possible and achievable.

David is a Gigaom research analyst and writes prolifically for InfoWorld as a cloud computing blogger. He also is a contributor to “IEEE Cloud Computing,” Tech Target’s SearchCloud and SearchAWS, as well as is quoted in major business publications including Forbes, Business Week, The Wall Street Journal, and the LA Times. David has appeared on NPR several times as a computing industry commentator, and does a weekly podcast on cloud computing.

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