Monitorix is a free, open source, lightweight system monitoring tool designed to monitor as many services and system resources as possible. It has been created to be used under production UNIX/Linux servers, but due to its simplicity and small size you may also use it on embedded devices as well.
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The stunnel program is designed to work as an SSL encryption wrapper between remote client and local (inetd-startable) or remote server. It can be used to add SSL functionality to commonly used inetd daemons like POP2, POP3, and IMAP servers without any changes in the programs' code. Stunnel uses OpenSSL libraries for cryptography, so it supports whatever cryptographic algorithms you compiled into your library.
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GoAccess is an open source real-time Apache log analyzer and interactive viewer that runs in a terminal in *nix systems. It provides fast and valuable HTTP statistics for system administrators that require a visual server report on the fly.
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ScanSSH supports scanning a list of addresses and networks for open proxies, SSH protocol servers, Web and SMTP servers. Where possible ScanSSH, displays the version number of the running services. ScanSSH protocol scanner supports random selection of IP addresses from large network ranges and is useful for gathering statistics on the deployment of SSH protocol servers in a company or the Internet as whole.
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MongoDB wasn’t designed in a lab. We built MongoDB from our own experiences building large scale, high availability, robust systems. We didn’t start from scratch, we really tried to figure out what was broken, and tackle that. So the way I think about MongoDB is that if you take MySql, and change the data model from relational to document based, you get a lot of great features: embedded docs for speed, manageability, agile development with schema-less databases, easier horizontal scalability because joins aren’t as important. There are lots of things that work great in relational databases: indexes, dynamic queries and updates to name a few, and we haven’t changed much there. For example, the way you design your indexes in MongoDB should be exactly the way you do it in MySql or Oracle, you just have the option of indexing an embedded field.
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