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