Each time a visitor opens your website, the browser sends a request to the web server, which executes it and supplies the desired data as a response. A basic HTML site uses negligible resources because it is static, but database-driven platforms are more requiring and use a lot more processing time. Every page that's served creates 2 kinds of load - CPU load, which depends on the time the hosting server spends executing a specific script; and MySQL load, which depends on the total number of database queries produced by the script while the end user browses the Internet site. Higher load shall be created if a considerable amount of people browse a certain website simultaneously or if many database calls are made at the same time. Two examples are a discussion board with tens of thousands of users or an online store in which a client enters a term in a search box and tens of thousands of items are searched. Having detailed stats about the load your site generates will enable you to improve the content or see if it's the perfect time to switch to a more powerful sort of hosting service, if the Internet site is simply getting very popular.
MySQL & Load Stats in Hosting
If you host your Internet sites inside a hosting account with us, you will have access to comprehensive CPU and MySQL statistics that will allow you to keep track of their overall performance. You could see the stats with a couple of mouse clicks in your Hepsia CP. The CPU Load section will reveal to you the total time period the hosting server spent on your scripts and what amount of memory was required, and the time it took for the scripts to be executed. The day-to-day view is the standard one, but you can also see the stats from the preceding months. The MySQL Load section offer you more info about the number of queries to each database that you have created inside the account. Once again, you can see month-to-month, day-to-day and per hour data, that will give you info that's different from the traffic or the number of visitors which you get. This way, you can identify if the sites need some optimization.