Cyber resilience
Backup storage failure: Recovering during a rebuild
Recovery plans assume the backup repository is healthy. That assumption holds most of the time and fails in exactly the circumstances that produce a recovery: ...
Scality Blog
Practical insight on exabyte-scale object storage, AI data infrastructure, and cyber resilience — from the team at Scality.
Cyber resilience
Mass restore planning: Recovering hundreds of workloads
A restore test usually covers one system. It confirms the backup is valid, the procedure works and the timing is acceptable, and it says almost nothing about ...
Cyber resilience
Backup poisoning: When protected copies contain malware
Immutability protects a backup copy from being changed after it is written. It does nothing about what was in the data at the moment it was written. If an ...
Cyber resilience
Immutable backup capacity: Planning for retention growth
Immutability changes capacity planning in one specific way: the usual response to running out of space stops working. In a conventional repository, a capacity ...
Cyber resilience
Backup encryption keys: What happens if you lose them?
Encrypting backups is standard practice and rightly so. The consequence, which receives far less attention, is that the backup copies are now exactly as ...
Cyber resilience
Active Directory recovery: Planning backup access
Directory services sit underneath almost everything else in a corporate environment, which makes their loss unusually disruptive and their recovery unusually ...
Cyber resilience
Backup recovery dependencies: What must come back first?
Recovery plans are usually written per system. Each application has a recovery objective, a backup schedule and a restore procedure, and each one has been ...
AI Infrastructure
AI storage costs: Calculating cost per training run
Accelerator hours are measured carefully because they are billed carefully. Storage usually appears as a single line in an infrastructure budget with no ...
AI Infrastructure
AI data staging: When local NVMe helps
Copying training data onto local NVMe before a run is a well established technique, and it is also frequently applied where it does not pay. The copy takes ...
AI Infrastructure
AI training data access: Separating teams and projects
An AI platform usually starts with one team and one dataset, and access control is a formality because everyone involved is allowed to see everything. By the ...