问题描述
大家好，
因此，希望有人可以帮助我解决我遇到的一个奇怪的问题.我有一个已开发的API，该API托管在2台Azure服务器上，一台是另一台的镜像.两者具有完全相同的代码. Live API一开始就消耗750MB 并接收第一个请求，而使用相同代码和请求的镜像将消耗100MB.两者都有相同的设置，实际上，我刚刚复制并粘贴了所有镜像代码，以确保两者都相同.删除所有应用程序见解 在Live中，并且在实时状态下使用与镜像相同的web.config.服务器之间的区别在于，由于镜像服务器位于小型实例上时出现的这个问题，实时服务器中的一台是大型服务器.
So hopefully someone can help me out in a strange issue I am having. I have an API which I have developed and is hosted on 2 Azure servers, one a mirror of the other. Both have exactly the same code. The Live API is consuming though 750MB as soon as it starts and receives the first request, whilst the mirror using the same code and request consumes 100MB. Both have the same settings and in fact on the live I just now copied and pasted all the mirror code to ensure both have the same. Remove all application insights inside Live and also used the same web.config on the live as the mirror. The difference between servers is that the one of the live is a Large server due to this issue I am having whilst the mirror is on a small instance.
我有一个实时的内存和应用程序日志，但无法了解它的尾巴.我也等待Azure的联系，因为我向他们发送了日志，但希望了解是否有人遇到相同的问题.唯一的区别是现场有一个 分段应用程序用作分段环境，而镜像未用作分段环境.
I got a memory and application log for the live but cannot get tails of it. I am also waiting to be contacted by Azure since I sent them the logs but would like to see whether anyone encountered the same issue. The only difference is that the live has a staging app used as staging environment whilst mirror does not.
谢谢
推荐答案
创建Cloud Service时，Azure将其分配给的子域> cloudapp.net .而Azure WebApps分配了一个子域 azurewebsites.net .您能否确认您是否已将应用托管在 或 ?
When you create a Cloud Service, Azure assigns it to a subdomain of cloudapp.net. Whereas Azure WebApps, assigns a subdomain ofazurewebsites.net. Could you confirm if you have hosted your app onAzure Cloud Service or Azure WebApps?
此外，您还声明已将日志发送给支持人员，如果您已提交技术支持票，请告诉我们吗?如果是的话，你能分享一下吗 #SR号，以便我们可以在内部进行跟踪.
Also, you have stated that you had sent the logs to the support, could you please let us know if you have filed a technical support ticket? and if yes, could you share the # SR number so that we can track this internally.
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