One topic that comes up frequently is how to properly size the development integration run time environment.
一个经常被提及的主题是如何正确地估计开发集成运行时环境的大小。
Because you can choose the size of server to run in the cloud, you can run multiple, smaller servers for redundancy.
由于可以选择在云中运行的服务器的大小,因此可运行多个小服务器以留取冗余空间。
The other option is to iteratively increase the cache size and run the application under peak steady state load until the PMI metrics report no more cache discards.
其一种方法是迭代式的增加缓存大小并在峰值稳定状态负载下运行应用程序,直到 PMI 指标不再报告任何缓存丢弃操作。
These things run for variable amounts of time because they take input, a list of size of some amount.
而这一段的执行时间是可变的,因为它们需要输入一个包含一些元素的列表。
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