MONyog is an all-in-one solution for MySQL DBAs that enables them to efficiently manage multiple servers, optimize their current configurations, and detect and solve issues to prevent serious problems from arising in their applications.
One of MONyog's strongest features is its ability to analyze MySQL and OS performance data collected over a period of time, providing a wealth of information to help identify potential issues. The software also supports SSH Tunneling, providing enhanced security while monitoring your MySQL servers. MONyog also features great looking real-time charts and a complete rewrite of its documentation, making it easier to use for those new to MySQL database management.
With monitoring and advisory tools for MySQL Community and Enterprise Servers, getting up and running in less than a minute is a breeze with MONyog. Quick performance tuning and optimization can be done through its Enterprise dashboard, helping you identify problems quickly. MONyog also provides proactive events and alerts, enabling you to monitor replication, detect MySQL hacking attempts, and identify and fix security vulnerabilities.
MONyog is an agent-less monitoring tool that requires no installation on servers. You can also compare unlimited MySQL servers side-by-side, making it easy to compare performance metrics. At less than 6.5MB and available on both Windows and Linux, MONyog also features an inbuilt web-server with an AJAX interface. Best of all, it requires no installation of multiple web-servers and language runtimes like many other tools, making it a simpler and more efficient solution.
Lastly, all performance metrics come with simple descriptions, helping you learn more about MySQL's internals. MONyog is also fully customizable using Javascript and MONyog Object Model, giving you more flexibility to tailor the tool to your specific needs.
Version 4.0: MySQL Server Log Analysis,Query Sniffer with Proxy support
Version 3.05: MySQL Server Log Analysis,Query Sniffer with Proxy support
Version 2.51: MySQL Server Log Analysis,Query Sniffer