proxy.py is made with performance in mind. By default, proxy.py will try to utilize all available CPU cores to it for accepting new client connections. This is achieved by starting AcceptorPool which listens on configured server port. Then, AcceptorPool starts Acceptor processes (--num-acceptors) to accept incoming client connections. Alongside, if --threadless is enabled, ThreadlessPool is setup which starts Threadless processes (--num-workers) to handle the incoming client connections. Each Acceptor process delegates the accepted client connection to a threadless process via Work class. Currently, HttpProtocolHandler is the default work class. HttpProtocolHandler simply assumes that incoming clients will follow HTTP specification. Specific HTTP proxy and HTTP server implementations are written as plugins of HttpProtocolHandler.
Features
- Fast & Scalable
- Scale up by using all available cores on the system
- Threadless executions using asyncio
- Made to handle tens-of-thousands connections / sec
- Customize proxy behavior using Proxy Server Plugins
- Plugin API is currently in development phase