Whenever a visitor opens your website, the Internet browser sends a request to the server, which executes it and supplies the necessary data as a response. A basic HTML site uses minimal resources due to the fact that it is static, but database-driven platforms are more demanding and use a lot more processing time. Each page that's served creates 2 kinds of load - CPU load, that depends on the time the web server spends executing a particular script; and MySQL load, which depends on the amount of database queries generated by the script while the user browses the Internet site. Higher load shall be produced if many people surf a given Internet site at the same time or if a lot of database calls are made concurrently. 2 illustrations are a discussion board with many users or an online store in which a customer enters a term inside a search box and tens of thousands of items are searched. Having thorough data about the load that your Internet site generates will allow you to optimize the content or see if it is time to switch to a more powerful kind of website hosting service, if the site is simply getting very popular.
MySQL & Load Stats in Shared Hosting
If you host your sites inside a shared hosting account with us, you will have access to in depth CPU and MySQL stats that will enable you to keep track of their operation. You can see the statistics with a couple of mouse clicks within your Hepsia Control Panel. The CPU Load section can tell you the total time the hosting server spent on your scripts and the amount of memory was required, along with the time it took for the scripts to be executed. The day-to-day view is the standard one, but you could also see the numbers from the preceding months. The MySQL Load section offer you more details about the total amount of queries to each and every database that you have created within the account. Once again, you are able to see per month, daily and hourly data, that will give you information that's different from the traffic or the number of visitors that you get. In this way, you can identify if the websites require some optimization.