Recovery Point Validation Across Replicated Storage Sites
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Solution Overview
Problem
Existing disaster recovery systems fail to effectively validate recovery point objectives, leading to potential data loss and business disruption during catastrophic events, with significant financial costs and recovery challenges for many businesses.
Innovation Solution
A Recovery Point Objective Validator is implemented, comprising a Validation Writer and Reader that write and read validation metrics at intervals determined by the recovery point objective, computing validation results across primary and secondary sites, ensuring alignment and replication accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If disaster recovery systems are implemented without validation mechanisms, then system complexity is reduced, but reliability and data loss prevention are compromised
Solution Approach 1:
The patent introduces validation areas as intermediary storage spaces between the primary and secondary sites. These validation areas contain validation metrics that track replication status without requiring complex validation logic in the main data paths. The validation writer and reader operate as intermediary processes that monitor replication health, allowing reliable validation while maintaining system simplicity.
Solution Approach 2:
The patent creates copies of validation metrics in the validation areas at both primary and secondary sites. These copies allow independent monitoring of replication status without affecting the actual data replication process. The validation metrics are replicated alongside the data, enabling verification of recovery point objectives without adding complexity to the core replication mechanism.
2Loss of substance
If validation metrics are written at intervals determined by recovery point objective, then data loss is minimized, but storage operations and system resources are increased
Solution Approach 1:
The validation writer writes validation metrics to the validation area at periodic intervals determined by the recovery point objective. This periodic action ensures that data loss is minimized by capturing replication status at regular intervals, while avoiding continuous writing operations that would waste system resources. The validation reader subsequently reads these metrics to compute validation results, creating an efficient periodic validation cycle.
3Reliability
If replication is validated across primary and secondary sites, then disaster recovery reliability is improved, but network communication requirements and complexity increase
Solution Approach 1:
The patent segments the validation function into separate validation areas located at both primary and secondary sites. Each site maintains its own validation area with validation metrics, allowing independent operation and simplifying the cross-site validation architecture. The validation writer at the primary site writes metrics that are then read by the validation reader at the secondary site, creating a segmented but coordinated validation process that improves reliability without excessive complexity.
Data Source
AI summary
An embodiment provisions a Validation Area within a consistency group of a primary site and a Validation Area within a consistency group of a secondary site. The embodiment provisions a Validation Writer in the primary site and provisions a Validation Reader in the secondary site; the Validation Writer writes a validation metric into the Validation Area in the primary site at an interval determined by a recovery point objective. The embodiment also reads the validation metric by the Validation Reader in the secondary site, computes a validation result based on the validation metric, the recovery point objective and a recovery point time delta where the validation result comprises an outcome of a replication of the primary site to the secondary site where the Validation Area of the primary site, the Validation Area of the secondary site, the Validation Writer and the Validation Reader are storage and application agnostic.