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Fusing Cloud SOA & Cloud M2M – Building an On Demand, Real-time Enterprise

The ability to look up personal data across different domains is key to business principles of On Demand, Real-Time Enterprise

Back in 2002 Vinod Khosla, one of the elite of the Silicon Valley entrepreneur community (co-founded Sun Microsystems among others), wrote a white paper called the Real-Time Enterprise

At the same time I also wrote a similar paper entitled Building an On Demand Enterprise, which was based around the same principles. We both described utilizing a ‘loosely coupled’ and federated business model via the SOA (Service Oriented Architecture), to build more agile organizational structures.

These service architectures were achieved by integration technologies and standards like SOAP, which as we zoom forward ten years we can see still persists in terms of the underlying model but has now been replaced by REST, a more web-oriented approach suitable to the new Cloud world.

SOA – Business process integration

cloud-brokerIn general these design principles are still as relevant today, it is just this underlying evolution of infrastructure-as-a-service that has accelerated.

So with the SOA principles still being needed then customers will find “Cloud SOA” central to their enterprise architecture strategies for adopting Cloud services.

Cloud is accelerating the deployment of new software but whether it is SaaS or in-house, customer data is still parceled up into a relational database somewhere and it needs shared with other applications to enable the kind of joined up business workflow that a Real-Time Enterprise is based on.

The big difference between then and now is not only the maturing of the Cloud hosting industry but also that of the ‘federated identity’ community, most notably through the rise of OpenID, OAuth et al. An example feature is being able to use another log-in credential, such as the username and password you already supplied to Linkedin, to log in to another site, which can then read your data on Linkedin to populate it’s own.

Where the rise of Amazon is impressive in scale terms of Cloud Computing the technology, it is this field of evolving data integration methods that is giving rise to the “the Cloud”, in terms of a singular online environment where your data is stored and used in a global way.

Cloud M2M – Architecture for an Internet of Things
This ability to look up personal data across different domains is key to the business principles of an On Demand, Real-Time Enterprise, and this universal data environment leads ultimately to concepts like the ‘Internet of Things’, where the Internet as we know it has expanded to include all forms of machine devices, via embedded RFID chips and other sensors.

Cloud Computing is an ideal platform for helping accelerate this trend, not least because the software required to manage these sensor networks of course needs to be run somewhere and be maintained by someone.

This introduces the SaaS field of ‘Cloud M2M’. As described in these Cloud M2M article here and here the software that can operate these ‘Machine to Machine’ scenarios can, like any software, be operated via a SaaS model so that large enterprise customers can harness the power of the trend but without large upfront capital outlay or heavy HR requirements.

Thus we can see these different technology advances as all part of one overall larger trend, from smoother data flow between remote web applications to smart RFID tags broadcasting their location status updates, the Cloud is acting as a ‘smart middleware’ to better connect users with the resources and information they need, On Demand.

This post is sponsored by the Zero Distance Community and T-Systems.

The post Fusing Cloud SOA and Cloud M2M – Building an On Demand, Real-time Enterprise appeared first on Cloud Computing Best Practices.

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