Friday, August 27, 2010

MONyog v4.0.1.0


MONyog v4.0.1.0 | 15.00 MB

MONyog MySQL Monitor and Advisor is a "MySQL DBA in a box" that helps MySQL DBAs manage more MySQL servers, tune their current MySQL servers and fix problems with their MySQL database applications before they can become serious problems.MONyog pro-actively monitors enterprise database environments and provides expert advice on how even those new to MySQL can tighten security, optimize performance and reduce downtime of their MySQL powered systems.As a MONyog user you will know in advance if server resources will soon be running short. You can plan a hardware replacement or upgrade in comfortable time and not when it is almost too late (or just plain too late!). And the metrics about the server that MONyog gives you will help to decide what to upgrade: Faster CPU, More RAM, Faster disc systems - or maybe only remove another program from the computer where the MySQL server is running.

Features:
- Analyze the data on the performance of MySQL and operating system, which were collected over a period of time.
- Supports SSH tunneling. Great-looking graphics in real time.
- Complete a census MONyog documentation.
- Monitoring and tips for MySQL Community and enterprise servers.
- Run the system in less than 1 minute! Quick setup and optimization of performance.
- Dashboard companies will help you quickly identify problems.
- Quick receiving events and alerts. Dissemination of monitoring.
- Intrusion detection MySQL. Identification and correction of vulnerabilities in security.
- Monitor the programs without the agency. Does not require installation on the server.
- Comparison of an unlimited number of MySQL servers.
- The installation package weighs less than 6.5 MB. Available for Windows and Linux. Built-in Web server. AJAX interface.
- Do not make you install a lot of web servers and linguistic sub-program, unlike other programs.
- A simple description of all performance metrics. Help you better understand the interior of MySQL.
- Fully customizable through the use of javascript and MONyog Object Model.

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