About this video
Data backup is a foundational element of IT operations and disaster recovery planning, yet it involves far more complexity than simply making a copy of files. Core decisions begin with classifying data by its criticality and recoverability — databases containing irreplaceable customer transactions demand different treatment than servers that can be rebuilt through automated DevOps pipelines. Recovery point objectives and recovery time objectives define the boundaries of acceptable data loss and system downtime, and those targets directly shape how frequently backups run, what gets backed up, and at what granularity — whether at the machine, volume, folder, or file level.
Media selection and storage location are equally important factors. Options range from cloud storage and removable drives to tape and disk, each with trade-offs around cost, accessibility, and security. Storing backups exclusively on-site shortens recovery time but creates risk if a physical disaster strikes the same location, making off-site or hybrid approaches preferable for most environments. Encryption should be applied regardless of where backup data resides, and organizations using tape or removable media should maintain rotation schedules to ensure an off-site copy is always current.
Snapshots provide a mechanism for capturing a point-in-time state of data without interrupting active use, and many backup systems use them behind the scenes to avoid copying files mid-write. Restore options include overwriting the original, restoring alongside it, or placing the recovered data in an alternate path — a choice that should always be communicated clearly to end users. Testing backups regularly is critical, as corrupt media or missing components may only surface when a restore is actually attempted. Finally, retention periods, archiving practices, and data disposal procedures must all be addressed in any complete backup policy, particularly when regulatory requirements or customer data deletion requests are involved.
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