MySQL And Load Stats

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The CPU load is dependent upon the length of time a web server spends executing a script any time a visitor opens a webpage on a certain script-driven Internet site. Static HTML websites use hardly any CPU time, but it is not the situation with the considerably more sophisticated and functional scripts, which use a database and display dynamic content. The more customers open such a site, the more load will be produced on the hosting server and if the database is large, the MySQL server shall be loaded too. A good example of what could cause high load is a web-based store with thousands of products. If it is popular, plenty of people shall be exploring it concurrently and if they search for items, the entire database containing all of the products will also be continuously accessed by the script, resulting in high load. In this light, having CPU and MySQL load stats will give you an idea of how the website is doing, if it needs to be optimized or if you simply need a more efficient web hosting solution - if the site is popular and the current setup cannot handle the load.

MySQL & Load Stats in Semi-dedicated Servers

Our system creates detailed statistics about the two different types of load, so if you acquire a semi-dedicated server for your websites, you can access the info with just a couple of clicks within your Hepsia hosting Control Panel. Every type of data is listed in its own section. The CPU Load section can tell you what processes generated the load and how much time it took for the server to execute every one of the requests. Though statistics are produced every six hours, you can see day by day and monthly statistics also. In the MySQL Load section you will find a list of all the databases created within your semi-dedicated account manually and automatically, the amount of queries were sent to each of them, the total everyday queries for the account in general, along with the average hourly rate. This info will help you see how well your sites perform and if any of them requires optimization of some type.