Caching Implications on Performance
In considering Figure 19-1 in a scenario where the user requests a product catalog view, it is not hard to imagine the sorts of resources that are invoked to satisfy the request. To build the list of products, complex SQL joins might be executed to pull in data from the manufacturing and marketing databases, as well as calls to ERP systems, such as Siebel, for customer pricing and information. Consider now the difference in performance if this request was resolved not by invoking and taxing all of these backend servers, but simply returned as HTML results from a front-end cache on the proxy server. Additionally, consider now that all of these backend servers experience significantly less load when a majority ...
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