Can I Replace Apache with Node.js?

If you're prepared to re-write your PHP in JavaScript, then yes, Node.js can replace your Apache.

If you place an Apache or NGINX instance running in reverse-proxy mode between your servers and your clients, you could handle some requests in JavaScript on Node.js and some requests in your Apache-hosted PHP, until you can completely replace all your PHP with JavaScript code. This might be the happy medium: do your WebSockets work in Node.js, more mundane work in Apache + PHP.

Node.js may be faster than Apache thanks to it's evented/non-blocking architecture, but you may have problems finding modules/libraries which substitute some of Apache functionality.

Node.js itself is a lightweight low-level framework which enables you to relatively quickly build server-side stuff and real-time parts of your web applications, but Apache offers much broader configuration options and "classical" web server oriented features.

I would say that unless you want to replace PHP with node.js based web application framework like express.js then you should stay with Apache (or think about migrating to Nginx if you have performance problems).

I believe Node.js is the future in web serving, but if you have a lot of existing PHP code, Apache/MySQL are your best bet. Apache can be configured to proxy requests to Node.js, or Node.js can proxy requests to Apache, but I believe some performance is lost in both cases, especially in the first one. Not a big deal if you aren't running a very high traffic website though.

I just registered to stackoverflow, and I can't comment on the accepted answer yet, but today I created a simple Node.js script that actually uses sendfile() to serve files through the HTTP protocol. (The existing example that the accepted answer links to only uses bare TCP protocol to send the file, and I could not find an example for HTTP, so I wrote it myself.)

So I thought someone might find this useful. Serving files through the sendfile() OS call is not necessarily faster than when data is copied through "user land", but it ends up utilizing the CPU and RAM less, thus being able to handle larger number of connections than the classic way.

The link: https://gist.github.com/1350901