问题描述
让我们说我的代码库已经达到了合理的单元测试覆盖率. (超过某个点，扩大覆盖范围并没有良好的投资回报率.)
Let's say that I've got my code base to as high a degree of unit test coverage as makes sense. (Beyond a certain point, increasing coverage doesn't have a good ROI.)
下一步，我要测试性能.对代码进行基准测试，以确保新提交不会不必要地降低速度. Safari的零容忍政策引起了提交速度的降低，对此我很感兴趣.我不确定大多数项目的速度承诺是否具有良好的投资回报率，但我至少希望得到有关速度退化已发生的警报，并能够对此做出判断.
Next I want to test performance. To benchmark code to make sure that new commits aren't slowing things down needlessly. I was very intrigued by Safari's zero tolerance policy for slowdowns from commits. I'm not sure that level of commitment to speed has a good ROI for most projects, but I'd at least like to be alerted that a speed regression has happened, and be able to make a judgment call about it.
环境是Linux上的Python，对于BASH脚本也可行的建议会让我非常高兴. (但是Python是主要焦点.)
Environment is Python on Linux, and a suggestion that was also workable for BASH scripts would make me very happy. (But Python is the main focus.)
推荐答案
如果可能，您将希望在系统级别进行性能测试-在上下文中对应用程序进行整体测试，使其数据和行为与生产环境接近尽可能.
You will want to do performance testing at a system level if possible - test your application as a whole, in context, with data and behaviour as close to production use as possible.
这并不容易，要使其自动化并获得一致的结果将变得更加困难.
This is not easy, and it will be even harder to automate it and get consistent results.
此外，您不能使用VM进行性能测试(除非您的生产环境在VM中运行，即使那样，您也需要在没有其他任何设备的主机上运行VM).
Moreover, you can't use a VM for performance testing (unless your production environment runs in VMs, and even then, you'd need to run the VM on a host with nothing else on).
当您说执行性能单元测试时，这可能是有价值的，但前提是要将其用于诊断在系统级别(不仅仅是在开发人员的头上)确实存在的问题.
When you say doing performance unit-testing, that may be valuable, but only if it is being used to diagnose a problem which really exists at a system level (not just in the developer's head).
此外，单元测试中的单元性能有时无法在上下文中反映其性能，因此可能根本没有用.
Also, performance of units in unit testing sometimes fails to reflect their performance in-context, so it may not be useful at all.
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