Web Accelerators in Shared Website Hosting
We provide three of the most popular web accelerators with our shared website hosting solutions and depending on what plan you shall select when you sign up, they might already be available or they might be an optional upgrade. Varnish is the most widely used one of them and it may be used for any kind of Internet site. It caches the web pages the first time a site visitor opens them and delivers them at a considerably faster speed compared to the server each and every time that a website visitor opens them again. Memcached is used to cache API and database calls, so it can easily increase the speed of dynamic sites including online stores, forums or social networks. Node.js is used for scalable web applications and it functions in real-time, which makes it ideal for server-side data processing - chats, browser games, booking portals, and many others. You shall be able to pick how much memory these accelerators will employ and how many instances of each and every one shall run from your Hepsia Internet hosting Control Panel.
Web Accelerators in Semi-dedicated Hosting
If you select one of our semi-dedicated hosting plans, you will be able to use Varnish, Memcached and Node.js - three powerful web accelerators. Varnish is a multi-purpose program which caches websites the first time a site visitor opens them and provides them instead of the server if the website visitor opens them again nearly 300% more quickly. Memcached caches API and database calls and responses so the web server doesn't need to process each and every request, that makes it perfect for database-driven sites, such as ones developed with Joomla™ or WordPress. Node.js is used to create web applications that work in real-time like chats or accommodation booking websites and it processes each and every bit of information the moment the user types it instead of waiting for large portions of information to be accumulated. The Hepsia Control Panel that comes with our semi-dedicated solutions will permit you to pick how many instances of each accelerator will work at a time and how much memory they will use.