When a visitor opens your Internet site, the web browser sends a request to the web server, which in turn executes it and provides the desired content as a response. A basic HTML site uses minimum system resources as it is static, but database-driven platforms are more requiring and use a lot more processing time. Every page that's served generates two kinds of load - CPU load, that depends on the length of time the web server spends executing a specific script; and MySQL load, which depends on the total number of database queries generated by the script while the user browses the Internet site. Bigger load will be created if a whole lot of people look through a certain website simultaneously or if a considerable amount of database calls are made concurrently. 2 illustrations are a discussion board with thousands of users or an online store in which a customer enters a term in a search box and tens of thousands of items are searched. Having thorough data about the load which your Internet site generates will enable you to improve the content or see if it is time to switch to a more powerful kind of web hosting service, if the website is simply getting quite popular.
MySQL & Load Stats in Shared Web Hosting
Our system keeps detailed info about the system resource usage of every single shared web hosting account that's set up on our top-notch cloud platform, so if you choose to host your sites with our company, you shall have full access to this data via the Hepsia CP, which you'll get with the account. The CPU load data include the CPU time and the actual execution time of your scripts, plus the amount of system memory they used. You can also see what processes produced the load - PHP or Perl scripts, cron jobs, and so on. The MySQL load stats section will show you the amount of queries to each particular database that you have created inside your shared hosting account, the total queries for the account overall and the typical hourly rate. Comparing these statistics to the site visitor stats shall tell you if your sites perform the way they need to or if they need some optimization, which will improve their efficiency and the overall site visitor experience.