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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226 Chapter 12 Mov<strong>in</strong>g Onward<br />
The reason enterprises employ cloud comput<strong>in</strong>g platforms is the same<br />
reason the startups deploy cloud comput<strong>in</strong>g platforms: to access very sophisticated<br />
application development <strong>and</strong> host<strong>in</strong>g resources without hav<strong>in</strong>g to <strong>in</strong>vest<br />
<strong>in</strong> hardware, software, <strong>and</strong> data center spaces. Once upon a time, startups had<br />
to obta<strong>in</strong> a large amount of capital just to get their solutions up <strong>and</strong> runn<strong>in</strong>g.<br />
Today the platform <strong>in</strong>vestment is <strong>in</strong> as-a-service products, <strong>and</strong> companies pay<br />
only for the resources they leverage.<br />
<strong>Cloud</strong> comput<strong>in</strong>g startups can now use their <strong>in</strong>vestment to build their<br />
own <strong>in</strong>tellectual capital or their own cloud comput<strong>in</strong>g solutions us<strong>in</strong>g the<br />
exist<strong>in</strong>g cloud providers’ platforms to accomplish their goals. This is a beautiful<br />
model, consider<strong>in</strong>g the cost advantages. And the hard architectural issues<br />
around multitenancy, security, <strong>and</strong> even governance are solved for them at the<br />
platform level. This means startups can focus on what is unique <strong>and</strong> different<br />
about their solution.<br />
This trend will cont<strong>in</strong>ue as more <strong>and</strong> more cloud comput<strong>in</strong>g startups<br />
launch <strong>and</strong> the exist<strong>in</strong>g cloud comput<strong>in</strong>g platforms provide the core services<br />
that those startups need to build, deploy, <strong>and</strong> operate their own cloud comput<strong>in</strong>g<br />
solutions. Gone are the days when you had to have your own hardware<br />
<strong>and</strong> software to be a cloud comput<strong>in</strong>g or traditional software company. Today,<br />
it is all available to you on-dem<strong>and</strong>.<br />
<strong>Cloud</strong> comput<strong>in</strong>g removes the barriers for many startups to get their solutions<br />
out there, <strong>and</strong> the number of cloud comput<strong>in</strong>g providers offer<strong>in</strong>g solutions<br />
of <strong>in</strong>terest to the enterprise is <strong>in</strong>creas<strong>in</strong>g—explod<strong>in</strong>g—because the<br />
barriers to entry are nonexistent.<br />
Q: What about performance <strong>and</strong> cloud comput<strong>in</strong>g<br />
A: There are two issues around performance as related to cloud comput<strong>in</strong>g:<br />
network latency <strong>and</strong> platform performance.<br />
The fundamental model of cloud comput<strong>in</strong>g is dependent on the Internet,<br />
so any reliability issues or performance issues with the Internet will affect the<br />
cloud comput<strong>in</strong>g solution. Organizations often do not consider network latency<br />
issues <strong>in</strong> conjunction with cloud comput<strong>in</strong>g, but the issues can <strong>and</strong> do<br />
exist, <strong>in</strong>clud<strong>in</strong>g network saturation at critical times when the cloud-delivered<br />
resource becomes the slow l<strong>in</strong>k <strong>in</strong> the long architectural cha<strong>in</strong>. In other words,<br />
the on-premise systems respond as per expectations, but cloud comput<strong>in</strong>gbased<br />
systems respond too slowly due to network latency issues.
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