“´These instructions are the rather verbose, but hopefully easy enough to follow, steps to build a new Linux server using Varnish, Nginx, W3 Total Cache, and WordPress, to build a WordPress blog on a Amazon Micro server (or equivalent), all costing under $15 a month, capable of sustaining 10 million hits per day, as measured by blitz.io.”
“netem provides Network Emulation functionality for testing protocols by emulating the properties of wide area networks. The current version emulates variable delay, loss, duplication and re-ordering…””
“FlowER is build for deployment model that packages each Erlang application either as RPM or DEB package. Dependencie resolution is done at install time and at build time to the package management tools. For manual building, the required dependencies therefore have to be installed manually…”
“The erlang-openflow is a pure erlang implementation of an openflow controller which is being contructed on top of OTP framework.
(The controller will start to listen to 6633 port)
TIP: Use mininet (http://openflow.org/mininet) to simulate an openflow network…”
“The point of Simple is to be simple. The blog is 1 file (excluding resources) with a few simple pure-python dependancies, it doesn’t require a database server, has a small footprint and is fairly fast.
Its quite simple. Go download Python 2.7+, Flask, Sqlalchemy and flask-sqlalchemy and you are good to go. To create a settings file run create_config.py and enter some details, then run simple.py…”
“First, you need a working D2/Phobos environment. Fortunately, as of DMD release 2.058, all you have to do is going to dlang.org, where you should be able to find a suitable package for your system.
Speaking of operating systems, the current code has been tested on OS X 10.6/10.7 x86/x86_64, (Arch) Linux x86/x86_64, and Windows x86using DMD. Other D compilers (GDC, LDC) might work if they are using a recent front-end version, but have not been tested…”
“Graphite is a highly scalable real-time graphing system. As a user, you write an application that collects numeric time-series data that you are interested in graphing, and send it to Graphite’s processing backend, carbon, which stores the data in Graphite’s specialized database. The data can then be visualized through graphite’s web interfaces…”