Data Protection Optimization System for Dynamic Backup Prioritization
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Solution Overview
Problem
Current data protection systems face challenges in automating operations across complex, multi-domain, and multi-cloud environments, struggling to dynamically adjust and optimize data protection infrastructure in response to changing conditions, security threats, and best practices, leading to inefficiencies and inadequate protection against cyber-attacks.
Innovation Solution
A data protection automatic optimization system that includes an analytics engine and accelerator server computing devices, which monitor and analyze metrics, events, and conditions to automatically adjust data collection, respond to cyber-attacks, optimize infrastructure, and prioritize operations based on data custody policies, using automated best practices and dynamic network traffic shaping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic prioritization is enabled for data protection operations, then data protection reliability is improved, but system complexity increases due to dynamic adjustment requirements
Solution Approach 1:
The system dynamically adjusts the prioritization of data protection operations based on real-time monitoring of security conditions, network traffic patterns, and data criticality levels. The automation manager continuously modifies operation priorities without requiring manual intervention, enabling the system to adapt to changing threats and conditions while maintaining reliable data protection.
Solution Approach 2:
The system implements continuous monitoring and feedback loops where the automation manager receives real-time information about security events, network conditions, and operation status. This feedback enables automatic adjustment of prioritization strategies, allowing the system to respond to changing conditions while maintaining optimal data protection reliability without excessive complexity.
2Ease of operation
If manual monitoring and adjustment of data protection operations is performed, then operational control is improved, but time consumption increases due to continuous human intervention requirements
Solution Approach 1:
The automation manager enables the data protection system to self-adjust operation priorities and respond to security events automatically without requiring continuous human intervention. The system monitors its own state, detects anomalies, and modifies operation scheduling autonomously, maintaining ease of operation while significantly reducing the time consumption associated with manual monitoring and adjustment.
Solution Approach 2:
The system pre-configures prioritization rules, policies, and response protocols before security events occur. The automation manager has predetermined strategies ready to be automatically applied when specific conditions are detected, enabling rapid response without requiring real-time human decision-making and thus reducing time consumption while maintaining operational control.
3Stability of the object's composition
If static data protection configurations are used, then system stability is improved, but adaptability decreases in response to changing security threats and conditions
Solution Approach 1:
The system transitions from static to dynamic configuration where the automation manager continuously adjusts data protection operation priorities based on real-time security conditions, network traffic analysis, and data criticality assessments. This dynamic approach maintains system stability through controlled, policy-driven changes while enabling adaptability to emerging threats and changing conditions.
Solution Approach 2:
The automation manager modifies operational parameters such as prioritization levels, resource allocation, and operation scheduling based on changing security conditions and threat levels. This allows the system to maintain stability by making controlled, measured adjustments to parameters rather than fundamental structural changes, while simultaneously improving adaptability to respond to new security challenges.
Data Source
AI summary
A system includes a memory and at least one processor to disable automatic prioritization of at least one data protection operation in a computer network, begin the at least one data protection operation in the computer network, continually monitor the computer network and determine that a condition has occurred in the computer network, activate automatic prioritization of the at least one data protection operation in the computer network, and instruct backup server tooling software to direct backup data for the at least one data protection operation to move from a first target storage repository to a second target storage repository.