Each time a visitor opens your website, the browser sends a request to the hosting server, which in turn executes it and gives the necessary data as a response. A simple HTML site uses very little system resources as it's static, but database-driven platforms are more requiring and use a lot more processing time. Each webpage which is served generates 2 forms of load - CPU load, that depends on the time the web server spends executing a specific script; and MySQL load, which depends on the number of database queries generated by the script while the end user browses the site. Bigger load shall be generated if a lot of people browse a particular website all at once or if a considerable amount of database calls are made concurrently. Two examples are a discussion board with a large number of users or an online store where a visitor enters a term in a search box and thousands of items are searched. Having in depth statistics about the load which your website generates will enable you to improve the content or see if it is the perfect time to switch to a more powerful kind of web hosting service, if the site is simply getting extremely popular.
MySQL & Load Stats in Website Hosting
If you host your websites within a website hosting account with our company, you shall have access to detailed CPU and MySQL statistics that will allow you to keep an eye on their functionality. You can easily see the statistics with a number of mouse clicks in your Hepsia Control Panel. The CPU Load section will reveal to you the total time the web server spent on your scripts and how much memory was needed, and the time it took for the scripts to be executed. The day-to-day view is the default one, but you are able to also see the numbers from the previous months. The MySQL Load section will provide you with additional information about the number of queries to every single database that you have set up inside the account. Once again, you can easily see month-to-month, everyday and hourly statistics, that shall give you data which is different from the traffic or the number of visitors that you get. In this way, you can determine if the Internet sites need some optimization.