Whenever a visitor opens your site, the browser sends a request to the server, which in turn executes it and gives the desired information as a response. A basic HTML website uses negligible resources for the reason that it's static, but database-driven platforms are more demanding and use more processing time. Each and every webpage that is served produces two kinds of load - CPU load, which depends on the amount of time the hosting server spends executing a specific script; and MySQL load, which depends on the amount of database queries produced by the script while the user browses the website. Bigger load will be created if a considerable amount of people surf a certain site at the same time or if a considerable amount of database calls are made all at once. Two good examples are a discussion board with a huge number of users or an online store where a client enters a term within a search box and thousands of items are searched. Having comprehensive statistics about the load that your site generates will help you boost the content or see if it's time to switch to a more powerful kind of hosting service, if the site is simply getting very popular.

MySQL & Load Stats in Shared Hosting

If you host your sites in a shared hosting account with us, you shall have access to thorough CPU and MySQL statistics that will permit you to monitor their operation. You can easily see the statistics with several clicks within your Hepsia Control Panel. The CPU Load section will reveal to you the total time frame the server spent on your scripts and how much memory was required, as well as 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 numbers from the past months. The MySQL Load section offer you more details about the number of queries to every single database that you have set up in the account. Once again, you can easily see month-to-month, everyday and per hour data, that shall give you information that's different from the traffic or the number of visitors you get. That way, you can determine if the Internet sites require some optimization.