Immutable Snapshot Recovery for Low-RTO Cloud Backup
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Solution Overview
Problem
Existing data recovery systems face challenges in achieving low Recovery Time Objective (RTO) and Recovery Point Objective (RPO) with limited granularity and optionality, and often require data production and backup architectures to be integrated, limiting flexibility and cloud-based solutions.
Innovation Solution
A data recovery system that decouples the vault architecture from the production environment, allowing for data cleaning, scrubbing, and analysis in a virtual recovery environment before sending to the cyber recovery environment, with storage snapshots ensuring immutability and safety, and utilizing network paths for efficient data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data production and backup architectures are integrated in existing systems, then data protection is ensured, but flexibility and cloud-based solution capability are limited
Solution Approach 1:
The patent segments the backup architecture into distinct virtual machines (production environment VM and backup environment VM) running on separate hardware platforms. This segmentation allows the backup system to be physically decoupled from production systems while maintaining logical connectivity, thereby increasing flexibility and enabling cloud-based deployments without compromising data protection.
2Loss of time
If traditional data recovery systems are used, then data backup is achieved, but Recovery Time Objective (RTO) and Recovery Point Objective (RPO) are not optimized with sufficient granularity
Solution Approach 1:
The patent implements preliminary actions by continuously replicating production volumes to backup volumes before any failure occurs. The backup environment VM is pre-configured with identical hardware specifications and software configurations, and data is continuously synchronized. When failure occurs, the pre-prepared backup environment can immediately activate, achieving near-zero RTO while maintaining fine-grained RPO through continuous replication.
Solution Approach 2:
The patent creates precise copies of production volumes using block-level replication technology. The backup environment VM receives exact copies of production data at the block level, enabling byte-for-byte fidelity in the replica. This copying mechanism allows for optimized RTO and RPO by having ready-to-use copies that can be immediately activated without reconstruction.
3Loss of time
If data is immediately recovered to minimize RTO, then service continuity is improved, but data cleaning, scrubbing, and analysis capabilities are lost
Solution Approach 1:
The patent introduces an intermediary backup environment VM that serves as a mediator between production systems and final recovery. This intermediate layer allows data to be recovered to the backup environment first, where cleaning, scrubbing, and analysis operations can be performed. Only after these operations complete does data transfer to the production environment, thus maintaining both fast recovery capability and data processing flexibility.
Data Source
AI summary
A method and system for efficient data recovery via change block tracking and replication comprising storing data using secured and immutable storage snapshots from a plurality of first devices on a plurality of storage arrays via a first network path and a second network path, determining a condition of data loss, power loss, or a cyber compromise event, and based on determining the condition, instantiating recovery of data using the secured and immutable storage snapshots from the plurality storage arrays via a third network path.