Every time a visitor opens your site, the web browser sends a request to the web server, which in turn executes it and provides the necessary information as a response. A standard HTML site uses minimum resources due to the fact that it's static, but database-driven platforms are more requiring and use a lot more processing time. Each page that's served produces 2 kinds of load - CPU load, which depends on the length of time the server spends executing a specific script; and MySQL load, which depends on the total number of database queries created by the script while the customer browses the website. Greater load will be generated if loads of people look through a given site all at once or if many database calls are made all at once. 2 good examples are a discussion board with many users or an online store where a client enters a term within a search box and a large number of items are searched. Having thorough stats about the load your Internet site generates will enable you to improve the content or see if it is the perfect time to switch to a more powerful type of hosting service, if the site is simply getting extremely popular.
MySQL & Load Stats in Cloud Hosting
If you host your Internet sites within a cloud hosting account with our company, you shall have access to in depth CPU and MySQL statistics which will allow you to keep an eye on their overall performance. You can see the statistics with a few clicks inside your Hepsia CP. The CPU Load section can tell you the total time the web server spent on your scripts and the amount of memory was required, and the time it took for the scripts to be executed. The everyday view is the standard one, but you could also see the numbers from the preceding months. The MySQL Load section offer you more info about the total amount of queries to each and every database that you have created within the account. Once again, you can see per month, day-to-day and per hour stats, which will give you data that's different from the traffic or the number of visitors which you get. Thus, you can determine if the Internet sites require some optimization.