A data backup is a separate copy of your data, kept in a safe location, so you can recover it if the original is deleted, corrupted, attacked or lost to a hardware failure. The point is simple: the original and the copy should never die together.
Think of it like keeping a spare key with a trusted neighbour. The key in your pocket is fine until the day you lose it, and then the spare is the difference between a minor annoyance and being locked out for good. A backup plays the same role for your databases, files and customer records. The widely used 3-2-1 rule captures the idea: three copies, on two kinds of storage, with one copy held offsite, often in cloud computing so a fire or theft at one location can’t wipe out everything.
Two numbers shape how a backup plan is designed. The recovery point objective is how much data you can stand to lose, measured in time, which decides how often copies run. The recovery time objective is how fast you must be back up. A nightly backup with an hour to restore suits a quiet brochure site. A busy order system might need near-continuous copies and failover in minutes.
A backup is only as good as your ability to restore from it, which is why testing recovery matters as much as making the copy. A surprising number of teams discover their backups were silently failing only when they try a restore that does not work. Backups also support a fast rollback when a bad update or a mistaken deletion needs to be undone, and they often feature in the recovery promises written into an SLA.
At TopDevs we set up automated, tested backups for every client system, because the worst time to discover a backup was missing is the moment you actually need it.
