Cloud Infrastructure Models
We have talked about a number of the technologies that make up cloud computing and the general value proposition behind the cloud. Before we move into building systems in the cloud, we should take a moment to understand a variety of cloud infrastructure models. I will spend the most time on the one most people will be working with, Amazon Web Services. But I also touch on a few of the other options.
It would be easy to contrast these services if there were fine dividing lines among them, but instead, they represent a continuum from managed services through something people call Infrastructure as a Service (IaaS) to Platform as a Service (PaaS).
Platform As a Service Vendor
PaaS environments provide you with an infrastructure as well as complete operational and development environments for the deployment of your applications. You program using the vendor’s specific application development platform and let the vendor worry about all deployment details.
The most commonly used example of pure PaaS is Google App Engine. To leverage Google App Engine, you write your applications in Python against Google’s development frameworks with tools for using the Google filesystem and data repositories. This approach works well for applications that must be deployed rapidly and don’t have significant integration requirements.
The downside to the PaaS approach is vendor lock-in. With Google, for example, you must write your applications in the Python programming language to ...
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