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Every data center has unique hardware and software requirements that can pose significant management challenges to IT. Cloud utilization, virtualization, mobile device management, app development, security, and storage networking represent just a few of the management challenges facing IT today. Add to that the responsibility of providing the infrastructure for processing an exponential increase in data and making it available to an increasingly mobile workforce on a daily basis.
Managing the change of DataStage components can often become a test of wills. Picture fitting a square peg in a round hole, and you might start to get the idea. The complexity of what is required to promote components from one environment to another during the development, testing, and eventual implementation in the production environments, should be and is often a controlled activity.
SOA is all about architecture-after all, it's right there in the acronym-yet most organizations think it is about turning existing software components into web services. When you adopt SOA, remember that it is all about design and governing that design. It's about how you design your service interfaces, your services, your data model, and your business processes. It's about how you keep track of your services, how you control the design, definition, deployment, and distribution of your services and their artifacts, how you define a service contract and service level agreement for your service consumers, how to secure your services, and how to react when things go wrong with them.