Cyber resilience
Ransomware dwell time: Choosing backup retention
Ransomware dwell time matters because the most recent backup may already contain changes made by an attacker. Choosing backup retention means keeping enough ...
Practical insight on exabyte-scale object storage, AI data infrastructure, and cyber resilience — from the team at Scality.
Cyber resilience
Ransomware dwell time matters because the most recent backup may already contain changes made by an attacker. Choosing backup retention means keeping enough ...
Data sovereignty
A data sovereignty audit asks IT to demonstrate where data resides, who can access it, and how those boundaries are maintained. Keep a current data inventory, ...
AI Infrastructure
AI data preprocessing should happen where each transformation can run efficiently, within the data’s access and location constraints. A useful starting point ...
Object storage
Object storage sizing starts with the amount of data you need to retain, then accounts for the space required to protect it and keep the system operating. Raw ...
AI Infrastructure
GPU starvation occurs when an accelerator waits for the data or work it needs to continue processing. Storage can cause that wait, but so can image decoding, ...
Data sovereignty
Data sovereignty requirements in a request for proposal (RFP) should define where data may reside, who may access it, which legal entities are involved and how ...
Object storage
S3 migration is the process of moving objects between storage systems that expose an S3 API. A safe migration preserves the data and the behavior applications ...
Cyber resilience
Backup deletion protection prevents someone from removing recovery data before its required retention period ends. It depends on the permissions assigned to ...
Cyber resilience
Backup credential security means controlling the passwords, access keys and identities used to create, manage and restore backups. Its purpose is to prevent a ...
AI Infrastructure
AI storage sizing starts with everything your workloads need to retain: source datasets, prepared training data, saved dataset versions, checkpoints and model ...