The Message Router (MRTR) application will move a message from a central WebSphere MQ queue to a specific application WebSphere MQ queue. The destination queue that the message will be placed into will be based on a keyword in the message. Context information is maintained. MRTR will look in the message for a Start Keyword and an End Keyword. The value between these two keywords is the Keyword Value (inifile Token). MRTR will search its ini file for that particular Keyword Value. The field value associated with the looked-up keyword value is the destination queue name. MRTR performs each MQGET and the subsequent MQPUT under a Unit of Work (UOW) so that message integrity is kept.
The Message Multiplexer (MMX) application will get a message from a WebSphere MQ queue and output it to one or more queues. Context information is maintained across the message put(s). MMX can move messages from a single source queue to (up to) 99 target queues. Messages put to each target queue are an exact replicate of the original message from the source queue (including the message's MQMD). MMX performs each MQGET and the subsequent "n" MQPUT(s) under a Unit of Work (UOW), so that message integrity is kept.
MirrorBrain is a framework to run a content delivery network using mirror servers. It solves a challenge that many popular open source projects face: a flood of download requests, often magnitudes more than a single site could practically handle. A central (and probably the most obvious) part is a "download redirector" that automatically redirects requests from Web browsers or download programs to a mirror server near them. Choosing a suitable mirror for a user's request is the key, and MirrorBrain uses geolocation and global routing data to make a sensible choice and achieve load-balancing for the mirrors at the same time. The algorithm is both sophisticated and easy to control and tune. In addition, MirrorBrain monitors mirrors, scans them for files, generates mirror lists, and more.
UIMA SDK is a software architecture and framework for supporting the development, integration, and deployment of search and analysis technologies. It can be used to analyze large volumes of unstructured information (text, audio, video, images, etc.) to discover, organize, and deliver relevant knowledge to the client or application end user.
Trojan scan is a simple shell script that allows for simple but relatively effective checking for trojans, rootkits and other malware that may be using your server and network for unwanted (and possibly illegal) purposes. It works by listing all processes that use the Internet with the lsof command (using -Pni flags). This list is then transformed into signatures in the form of process_name:port_number:user. These signatures then are matched against the allowed process defined in the configuration. If any signatures of running processes are found that do not match the allowed signatures, an email report is sent including ps, ls, and optional lsof output.
BitNami Trac Stack is an easy-to-install distribution of the Trac project management software. It includes pre-configured, ready-to-run versions of Apache, MySQL, Python, and Subversion, so users can get a Trac installation up and running in minutes after answering a few questions. Currently, Linux platforms are supported.
The BitNami DjangoStack is an all-in-one installer that greatly simplifies the installation of Django and its runtime dependencies. It includes ready-to-run versions of Python, Django, MySQL, and Apache. It supports Linux, Windows, and OS X, so you can share the same Django environment on multiple platforms.