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Cloud Computing and SOA Convergence in Your Enterprise: A Step ...

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Deploy to Target Platforms 211<br />

The service-level agreements, or SLAs, <strong>and</strong> a meet<strong>in</strong>g of the m<strong>in</strong>ds between<br />

you <strong>and</strong> the cloud comput<strong>in</strong>g provider as to what service levels<br />

need to be supported for your architecture.<br />

A complete underst<strong>and</strong><strong>in</strong>g of the policies of the cloud comput<strong>in</strong>g provider<br />

<strong>and</strong> what denotes a violation. In some <strong>in</strong>stances, cloud comput<strong>in</strong>g providers<br />

have, without notice, canceled accounts due to policy violations.<br />

Deploy to Target Platforms<br />

This is the “just do it” step, mean<strong>in</strong>g that we actually port code; migrate data;<br />

create new services, processes, <strong>and</strong> databases; <strong>and</strong> test <strong>and</strong> validate that all<br />

services, databases, <strong>and</strong> processes are work<strong>in</strong>g correctly <strong>and</strong> as def<strong>in</strong>ed, us<strong>in</strong>g<br />

the steps <strong>in</strong> this book.<br />

The approach you should leverage here should be focused on migration<br />

<strong>and</strong> development over time, not a “big bang approach.” You should select<br />

which components of the architecture should move to or be created on the<br />

cloud comput<strong>in</strong>g platforms, go<strong>in</strong>g from the most important to the least.<br />

As you move these architectural components to the cloud comput<strong>in</strong>g<br />

platforms, make sure they are function<strong>in</strong>g correctly <strong>and</strong> have been properly<br />

tested before mov<strong>in</strong>g on to the next architectural component. While the<br />

pressure may be on to make “the big switch,” the reality is that this evolutionary<br />

approach prevents problems <strong>and</strong> does not overwhelm those who deploy<br />

services, data, <strong>and</strong> processes to the cloud comput<strong>in</strong>g platforms. Also, this approach<br />

provides the value of learn-as-you-go, mean<strong>in</strong>g that your knowledge<br />

of how to make cloud comput<strong>in</strong>g platforms work for your architecture will<br />

<strong>in</strong>crease significantly as we move through this process.<br />

Where Social Network<strong>in</strong>g Fits with <strong>Cloud</strong> <strong>Comput<strong>in</strong>g</strong><br />

Op<strong>in</strong>ions on social network<strong>in</strong>g vary widely, from “No way, it’s too risky” to<br />

“It’s a way of life; you might as well learn to leverage it for productivity.” Social<br />

network<strong>in</strong>g has already been lumped <strong>in</strong> with cloud comput<strong>in</strong>g, so it is a good<br />

idea to consider its value <strong>and</strong> risks. How will you <strong>in</strong>tegrate social network<strong>in</strong>g<br />

with<strong>in</strong> your <strong>SOA</strong> us<strong>in</strong>g cloud comput<strong>in</strong>g architecture Now is a good time to<br />

form a set of policies.<br />

cont<strong>in</strong>ued

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