The term data compression means decreasing the number of bits of info which has to be saved or transmitted. This can be achieved with or without the loss of information, which means that what will be erased throughout the compression can be either redundant data or unneeded one. When the data is uncompressed later on, in the first case the data and the quality will be identical, while in the second case the quality shall be worse. There are various compression algorithms which are more efficient for different type of information. Compressing and uncompressing data in most cases takes lots of processing time, so the server carrying out the action must have enough resources in order to be able to process the info quick enough. An example how information can be compressed is to store just how many consecutive positions should have 1 and how many should have 0 inside the binary code as an alternative to storing the particular 1s and 0s.

Data Compression in Cloud Website Hosting

The cloud web hosting platform where your cloud website hosting account is made works by using the cutting-edge ZFS file system. The LZ4 compression method which the latter employs is better in various aspects, and not only does it compress info better than any compression method which similar file systems use, but it is also considerably quicker. The gains may be significant particularly on compressible content which includes website files. Despite the fact that it may sound unreasonable, uncompressing data with LZ4 is quicker than reading uncompressed info from a hard drive, so the performance of every site hosted on our servers shall be better. The better and faster compression rates also allow us to produce a number of daily backups of the entire content in every single hosting account, so should you delete anything by accident, the last back-up copy that we have won't be more than a couple of hours old. This is possible as the backups take considerably less space and their generation is quick enough, to not affect the performance of our servers.