Each time a visitor opens your website, the browser sends a request to the server, which executes it and provides the required data as a response. A standard HTML Internet site uses negligible resources as it is static, but database-driven platforms are more requiring and use much more processing time. Every single webpage that's served creates 2 types of load - CPU load, that depends on the time period the web server spends executing a particular script; and MySQL load, which depends on the total number of database queries produced by the script while the end user browses the website. Higher load shall be generated if a whole lot of people browse a particular website all at once or if a considerable amount of database calls are made all at once. 2 good examples are a discussion board with a large number of users or an online store in which a visitor enters a term within a search box and a large number of items are searched. Having in depth stats about the load your site generates will allow you to boost the content or see if it is time to switch to a more powerful type of hosting service, if the site is simply getting quite popular.
MySQL & Load Stats in Cloud Hosting
If you host your Internet sites inside a cloud hosting account with us, you shall have access to in depth CPU and MySQL stats which will allow you to keep tabs on their functionality. You can easily see the stats with a number of clicks in your Hepsia CP. The CPU Load section will reveal to you the total time frame the hosting server spent on your scripts and the amount of memory was needed, as well as the time it took for the scripts to be executed. The daily view is the default one, but you could also see the data from the preceding months. The MySQL Load section offer you additional information about the total amount of queries to every single database that you have created in the account. Once again, you can see per month, daily and per hour data, that shall give you info which is different from the traffic or the number of visitors that you get. This way, you can identify if the sites require some optimization.