另外，如果你使用NHibernate，你可以为查询打开和设置二级缓存，并添加到查询范围和超时。并且有踢屁股的EF, L2S和NHibernate分析器- http://hibernatingrhinos.com/products/UberProf。这将有助于调优您的查询。

基本的建议是遵循REST原则，以下几点将这些原则中的一些与ASP。NET MVC框架:

Make your controllers stateless - this is more of a 'Web performance / scalability' suggestion (as opposed to micro/machine level performance) and a major design decision that would affect your applications future - especially in case it becomes popular or if you need some fault tolerance for example. Do not use Sessions Do not use tempdata - which uses sessions Do not try to 'cache' everything 'prematurely'. Use Forms Authentication Keep your frequently accessed sensitive data in the authentication ticket Use cookies for frequently accessed non sensitive information Make your resources cachable on the web Utilize ETags Use expiration Write your custom ActionResult classes if necessary Utilize reverse proxies Compile your JavaScript. There is Closure compiler library to do it as well (sure there are others, just search for 'JavaScript compiler' too) Use CDNs (Content Delivery Network) - especially for your large media files and so on. Consider different types of storage for your data, for example, files, key/value stores, etc. - not only SQL Server Last but not least, test your web site for performance

使用捆绑和缩小还可以帮助您提高性能。它基本上减少了页面加载时间。

Code Climber和这篇博客文章提供了提高应用程序性能的详细方法。

编译后的查询将提高应用程序的性能，但它与ASP没有任何共同之处。净MVC。它将加速每一个db应用程序，所以它不是真正的MVC。

Gzip实现。 对部分视图使用异步呈现。 最小化数据库命中次数。 使用编译后的查询。 运行分析器找出不必要的匹配。优化所有返回响应时间超过1秒的存储过程。 使用缓存。 使用捆绑最小化优化。 对只读内容使用会话缓存和本地存储等HTML 5实用程序。

如果您正在运行您的ASP。NET MVC应用程序在Microsoft Azure (IaaS或PaaS)上，然后至少在第一次部署之前执行以下操作。

Scan your code with static code analyzer for any type of code debt, duplication, complexity and for security. Always enable the Application Insight, and monitor the performance, browsers, and analytics frequently to find the real-time issues in the application. Implement Azure Redis Cache for static and less frequent change data like Images, assets, common layouts etc. Always rely on APM (Application Performance Management) tools provided by Azure. See application map frequently to investigate the communication performance between internal parts of the application. Monitor Database/VM performance too. Use Load Balancer (Horizontal Scale) if required and within the budget. If your application has the target audience all over the globe, then use Azure Trafic Manager to automatically handle the incoming request and divert it to the most available application instance. Try to automate the performance monitoring by writing the alerts based on low performance.