Automated Cloud Data Vaulting via Micro-Service Replication
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Solution Overview
Problem
Traditional data vaulting methods from public clouds are inefficient and costly, requiring significant manual labor and physical transportation of storage media, which is error-prone and not scalable for frequent or small data transfers.
Innovation Solution
The Cloud Vault Service automates data vaulting by using data moving micro-services to efficiently replicate data from public clouds to secure offsite Cloud Vault Targets over existing networks, eliminating the need for physical media and allowing for frequent, scalable, and cost-effective data protection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual copying and physical transportation of data to offsite facilities is used, then data security and compliance requirements are met, but costs increase and operational efficiency decreases
Solution Approach 1:
The patent replaces the mechanical system of physical tape transportation with an electronic data replication system. Data is copied to portable storage devices and transferred electronically through secure networks, eliminating the need for physical cargo van transportation while maintaining security through encrypted data transfer and automated tracking of data locations.
Solution Approach 2:
The system enables self-service through automated data replication and tracking. The portable storage devices are automatically tracked through a network system that monitors their locations and contents, reducing manual labor for tracking and managing vaulted data while maintaining security oversight.
2Reliability
If frequent data pickups are performed to meet data protection policies, then data protection compliance is improved, but costs increase due to repeated transportation
Solution Approach 1:
The patent creates multiple copies of data across different storage locations. Data is replicated to portable storage devices that can be electronically transferred and stored at multiple secure locations simultaneously, allowing frequent data protection compliance without repeated physical transportation of the same data.
Solution Approach 2:
The system transitions from a single-dimension physical transportation model to a multi-dimensional electronic distribution model. Data can be replicated and stored across multiple geographic locations through electronic networks, allowing compliance with data protection policies without the linear cost accumulation of repeated physical trips.
3Reliability
If manual tape vaulting processes are used, then data can be physically secured offsite, but error rates increase due to manual labor involvement
Solution Approach 1:
The patent replaces manual mechanical operations with automated electronic processes. Data replication is performed automatically through software that ensures accurate copying, and tracking is automated through network systems that monitor device locations and data integrity, eliminating human error in data handling while maintaining physical security through controlled access to storage devices.
Data Source
AI summary
Data moving micro-services are deployed to a public cloud and a cloud vault target (CVT). A first request is issued to the public cloud for a first snapshot of data belonging to a customer tenant. The first snapshot is accessed to write the data to a first cloud volume in the public cloud. Data of the first cloud volume is vaulted to the CVT via the micro-services. The first cloud volume is maintained in the public cloud. A second request is issued to the public cloud for a second snapshot of the data belonging to the customer tenant. The second snapshot is accessed to write the data to a second cloud volume in the public cloud. Data of the second cloud volume is compared against data of the first cloud volume to identify redundant data. Data of the second cloud volume that is not redundant is vaulted to the CVT.