Whenever a visitor opens your Internet site, the browser sends a request to the hosting server, which executes it and provides the necessary content as a response. A standard HTML Internet site uses very little resources as it's static, but database-driven platforms are more requiring and use much more processing time. Every single page that's served generates two sorts of load - CPU load, that depends on the amount of time the server spends executing a certain script; and MySQL load, which depends on the amount of database queries generated by the script while the end user browses the website. Bigger load shall be generated if a considerable amount of people surf a certain site at the same time or if a lot of database calls are made at the same time. 2 examples are a discussion board with many users or an online store where a visitor enters a term inside a search box and tens of thousands of items are searched. Having thorough statistics about the load that your Internet site generates can help you improve the content or see if it's time for you to switch to a more powerful sort of hosting service, if the website is simply getting very popular.
MySQL & Load Stats in Shared Hosting
If you host your Internet sites within a shared hosting account with our company, you'll have access to thorough CPU and MySQL stats that will allow you to keep an eye on their performance. You can see the stats with a couple of clicks in your Hepsia Control Panel. The CPU Load section will reveal to you the total time period the server spent on your scripts and what amount of memory was required, plus 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 past months. The MySQL Load section offer you more details about the number of queries to every database that you have set up inside the account. Once again, you are able to see month-to-month, everyday and per hour data, that will give you information that's different from the traffic or the number of visitors that you get. Thus, you can identify if the sites need some optimization.