一件非常简单的事情是在访问页面所需的数据时进行异步思考。无论是从web服务、文件、数据库还是其他东西读取，都尽可能使用异步模型。虽然它不一定会帮助任何一个页面更快，但它会帮助您的服务器整体性能更好。

一件非常简单的事情是在访问页面所需的数据时进行异步思考。无论是从web服务、文件、数据库还是其他东西读取，都尽可能使用异步模型。虽然它不一定会帮助任何一个页面更快，但它会帮助您的服务器整体性能更好。

使用最新版本的任务并行库(TPL)，根据. net版本。必须根据不同的用途选择正确的TPL模块。

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。

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

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.