Data corruption is the damage of data because of various hardware or software failures. After a file is corrupted, it will no longer work as it should, so an application will not start or shall give errors, a text file could be partially or fully unreadable, an archive file will be impossible to open and unpack, etc. Silent data corruption is the process of info getting harmed without any acknowledgement by the system or an admin, which makes it a serious problem for web hosting servers as fails are much more likely to occur on larger hard drives where significant volumes of information are located. When a drive is part of a RAID and the information on it is duplicated on other drives for redundancy, it's very likely that the damaged file will be treated as a good one and it'll be duplicated on all the drives, making the harm permanent. Lots of the file systems that operate on web servers today often cannot recognize corrupted files instantly or they need time-consuming system checks during which the server is not operational.
No Data Corruption & Data Integrity in Cloud Website Hosting
We warrant the integrity of the info uploaded in any cloud website hosting account which is made on our cloud platform due to the fact that we employ the advanced ZFS file system. The latter is the only one which was designed to avert silent data corruption thanks to a unique checksum for every single file. We'll store your information on a large number of NVMe drives that function in a RAID, so the exact same files will be accessible on several places at the same time. ZFS checks the digital fingerprint of all the files on all drives in real time and in the event that the checksum of any file differs from what it has to be, the file system replaces that file with an undamaged version from another drive from the RAID. No other file system uses checksums, so it's possible for data to be silently damaged and the bad file to be replicated on all drives over time, but since this can never happen on a server using ZFS, you won't have to concern yourself with the integrity of your data.