Every time a visitor opens your site, the browser sends a request to the hosting server, which in turn executes it and provides the desired content as a response. A standard HTML site uses minimum system resources because it is static, but database-driven platforms are more demanding and use a lot more processing time. Each webpage that is served creates two types of load - CPU load, that depends on the span of time the server spends executing a specific script; and MySQL load, that depends on the total number of database queries produced by the script while the user browses the site. Bigger load shall be created if a lot of people surf a given site at the same time or if numerous database calls are made at the same time. Two good examples are a discussion board with a large number of users or an online store where a client enters a term in a search box and thousands of items are searched. Having in depth data about the load which your website generates will allow you to improve the content or see if it is time to switch to a more powerful type of hosting service, if the website is simply getting quite popular.
MySQL & Load Stats in Shared Web Hosting
If you host your Internet sites in a shared web hosting account with us, you will have access to thorough CPU and MySQL statistics which will allow you to keep tabs on their overall performance. You can see the statistics with a number of clicks within your Hepsia Control Panel. The CPU Load section can tell you the total time period the web server spent on your scripts and what amount of memory was required, plus the time it took for the scripts to be executed. The day-to-day view is the default one, but you can also see the statistics from the past months. The MySQL Load section offer you more details about the amount of queries to every single database that you have set up in the account. Once again, you can easily see per month, day-to-day and per hour data, that will give you information which is different from the traffic or the number of visitors that you get. Thus, you can determine if the sites require some optimization.