Chapter 6. Distributed Caching via Memcached


"If you want to set off and go develop some grand new thing, you don't need millions of dollars of capitalization. You need enough pizza and Diet Coke to stick in your refrigerator, a cheap PC to work on, and the dedication to go through with it."

 --John Carmack

When working with large-scale applications that serve millions of requests a day (or more), even a well-written data-intensive application can begin to show cracks. These issues may appear in the form of slow responses, timeouts, or a complete loss of service until the incoming traffic is reduced. Besides disk I/O, one of the most costly tasks in your performance budget is the communication to and from your database. Although today's relational ...

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