mod_myvhost is an Apache module for dynamically configured name-based mass virtual hosting with PHP. Virtual host configurations and PHP settings are stored in a MySQL database. There is no need to have every vhost in apache's configuration file, or to restart apache after a configuration change. It is able to change PHP settings dynamically for any vhost. By default, it sets open_basedir as the vhost's rootdir, but you can change almost any parameter that exists in php.ini. For example, you can turn on safe_mode or register_globals for a particular vhost.
mod_pLua is an Apache HTTP Server 2.x module for developing Web applications with Lua. With mod_pLua, you can use Lua for scripting in two distinct ways; Embedded Lua scripting, <?lua print("Hello, world!") ?>, or plain Lua scripting with a CGI-style interface. mod_pLua precompiles all scripts and caches the compiled binary code so that each new call to the same file will be lightning fast, allowing you to serve hundreds of thousands of requests per minute on any modern server. Mod_pLua supports both the traditional Lua interpreter as well as LuaJIT for both Windows and UNIX platforms. If your Web server supports it, mod_pLua also utilizes APR_DBD and mod_dbd to handle persistent database connections through the dbopen() Lua function.
mod_sesehe is an Apache module that disguises and removes the "Server: " HTTP header from responses. This allows you to hide certain information about the server. This also allows more accurate information to be provided if Apache is configured as a reverse proxy and a malformed request is received. Although sending the Server header in HTTP responses is not defined as a MUST in RFC 2616, the Apache HTTP Server does not otherwise allow you to disable sending this header via its configuration.
namebench finds the best DNS servers to use for your machine, benchmarks them, and outputs pretty graphs to tell you why they are optimal. It supports multiple data sources such as Alexa, your browser history, or tcpdump replays in order to generate the most relevant and individualized recommendation.