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    <p>It sounds like you should be using a in-memory key-value datastore like <a href="http://code.google.com/p/redis/" rel="nofollow noreferrer">Redis</a>, if you intend on having multiple web servers in the future than you should definitely be using a centralized memory store. Redis is especially ideal in this scenario as it supports advanced data structures like lists, sets and ordered sets. Its also pretty fast, it can get 110000 SETs/second, 81000 GETs/second in an entry level Linux box. <a href="http://code.google.com/p/redis/wiki/Benchmarks" rel="nofollow noreferrer">Check the benchmarks</a>. If you go down that route I have a <a href="http://code.google.com/p/servicestack/wiki/ServiceStackRedis" rel="nofollow noreferrer">c# redis client</a> that can simplify access.</p> <p>In order to use shared memory you need an application server that's 'always running' in the same process. In these cases you can use static classes or the shared 'Application' cache. The most popular 'Application servers' are any Java servlet containers (e.g. Tomcat) or ASP.NET.</p> <p>Now moving to access memory rather than disk will yield significant perf savings, if this perf is important to you than I don't think you want to be considering using an interpreted language. There is always going to be overhead when dealing with a request, Network IO, parsing protocol setting up worker thread etc. Deciding to use an out of process (that's on the same host) shared memory store compared to an in memory one is negligible in comparison to the overall time it takes to complete the request.</p>
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    1. POwhat webserver / mod / technique should I use to serve everything from memory?
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    1. COthanks for this insightful answer!
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