What problem does it solve?
It ensures your organization can recover critical data to a defined point in time within a defined time window after destructive change, corruption, ransomware, outages, or region failures, backed by real restore testing rather than assumptions.
Core Features & Use Cases
- Backup & restore governance: Define RPO/RTO per dataset with business-owner approval, establish immutable and off-site backup requirements, and set retention and deletion obligations.
- Atomic restore scope planning: Document the complete recovery package (databases, objects, indexes/search state, encryption keys, configuration/feature flags, secrets, broker offsets, and compatible application version) so the restored system actually runs.
- Failure-mode coverage and validation: Cover hardware, software bug, operator error, malicious insider/ransomware, key loss, backup integrity, and region failure with an executable restore runbook and measurable validation steps.
Quick Start
Ask your AI to create a backup-and-recovery plan for the dataset you are about to change, including RPO/RTO targets, restore scope, immutable/off-site topology, access controls, and an executable restore runbook with validation and drill results.