Flask at Scale (Flask如何适配到大型应用) - PyCon 2016 简明中文翻译

【未完待续。。。】

今年的PyCon大会，miguel grinberg 作了《flask-at-scale》演讲，提出了一些模式和最佳实践，来让微框架提升到下一层次

Do you think that because Flask is a micro-framework, it must only be good for small, toy-like web applications? Well, not at all! In this tutorial I am going to show you a few patterns and best practices that can take your Flask application to the next level.

视频：土豆网

听众对象：中、高级 intermediate and advanced Flask developers 

Scale是指：程序规模和负载 both in terms of application size and load 

• 如何组织大规模的程序：代码结构、模板、静态文件 Large applications: How to organize code, templates and static files in a way that allows the application to grow without becoming a mess. 
• 如何处理超大负载 Flask under load: Different ways to deploy a Flask application so that it can handle large numbers of clients. 

演讲目录：

Introduction (10 min) 大型程序规模 Large applications (1 hour)

• 如何组织大型程序（代码、文件）How to structure a large application
• 使用蓝图来组啥 Using Blueprints to organize an application
• 装饰器来简化代码 Decorators as a way to simplify application code
• 网站开发和REST API相互绑定 Combining a web application with a REST API
• API 用版本区分 API versioning

Flask应对大负载 Flask under load (1 hour) 请求异步化 Asynchronous requests 使用Celery模块来处理工作队列 Using a Celery job queue 使用多进程及负载均衡器 Using multiple processes and hosts with a load balancer 使用eventlet/gevent 高性能网络编程并发框架 Using coroutine frameworks such as eventlet or gevent 使用WebSocket降低延时 Using WebSocket for server-push and reduced latency Free-form Discussion and Q&A (50 min)