Python谷歌应用引擎的最佳部署策略 [英] Best deployment strategy for Python google app engine

问题描述

我想知道在Google应用引擎（Django）上部署python应用程序是否有最佳做法/模式。最佳做法应该是现有最佳做法的组合。面料，摊铺机，建筑等等。请分享最佳实践模式进行开发（我无法使用Django和Django App Engine帮助程序来运行virtualenv）

I wonder if there are any best practices/patterns for deploying python apps on Google app engine specifically Django. The best practice should be combination of existing best practices viz. Fabric, Paver, Buildout etc. Also please share best practice patterns for developing (I could not get virtualenv running with Django and Django App engine helper)

推荐答案

对于许多项目，根本不需要任何部署过程。如果您使用App Engine Patch或Django-Nonrel，他们应该为您处理一切。

For many projects, you shouldn't need any deployment process at all. If you're using App Engine Patch or Django-Nonrel, they should take care of everything for you.

对于其他需求，请查看这篇关于buildout的文章和这套建筑配方。

For other needs, check out this article on buildout and this set of buildout recipes.

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