Business Resiliency Management System for IT Adaptation
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Solution Overview
Problem
Current IT environments lack the capability to adapt programmatically to changes, leading to inflexible availability management, unpredictable downtime, and increased labor costs due to manual management and integration of disparate high availability and disaster recovery solutions.
Innovation Solution
A Business Resiliency Management System that dynamically adapts the IT environment by identifying fault scopes, correlating business functions with IT resources, and implementing granular degradation and recovery strategies, enabling seamless interaction across multiple vendor products and resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual management techniques are used to align availability management with IT infrastructure, then flexibility to handle complex integration scenarios is improved, but labor costs and time consumption increase significantly
Solution Approach 1:
The system enables automatic self-service through programmatic adaptation capabilities that autonomously detect changes in business applications and IT infrastructure, and automatically adjust availability management configurations without requiring manual intervention. This resolves the contradiction by maintaining flexibility through automated change detection and adaptation while eliminating labor-intensive manual management tasks.
Solution Approach 2:
The patent replaces manual mechanical management processes with automated programmatic systems that use software-based change detection and adaptation mechanisms. This substitution maintains the flexibility to handle complex scenarios while dramatically improving productivity by eliminating manual labor in monitoring, assessing, and implementing availability management changes.
2Adaptability or versatility
If disparate point products are integrated manually into an end-to-end solution, then customization to specific failure scopes is improved, but system complexity and integration difficulty increase
Solution Approach 1:
The system merges multiple disparate availability management point products into a unified end-to-end solution through programmatic integration. This consolidation maintains the ability to customize responses to specific failure scopes while reducing overall integration complexity by providing a single coordinated system that automatically manages cross-product interactions.
Solution Approach 2:
The patent implements a universal availability management system that can handle multiple failure scopes, platforms, and applications through a single integrated platform. This multi-functional approach maintains customization capabilities for different failure scenarios while eliminating the complexity of manually integrating multiple specialized point products.
3Measurement precision
If manual assessment is performed for changes in application or infrastructure, then accuracy of impact analysis is improved, but response time and adaptability deteriorate
Solution Approach 1:
The system implements continuous feedback loops that automatically monitor business applications and IT infrastructure for changes. This programmatic feedback mechanism maintains accurate impact analysis by systematically evaluating change implications while dramatically improving response time by eliminating manual assessment delays and enabling real-time adaptation.
Solution Approach 2:
The patent employs preliminary action by pre-configuring programmatic rules and criteria for assessing change impacts. This allows the system to automatically evaluate and respond to changes in real-time with accurate impact analysis, eliminating the need for manual assessment while maintaining or improving response accuracy through pre-established evaluation frameworks.
4Productivity
If programmatic adaptation is implemented to automatically respond to changes, then response time and automation are improved, but system complexity and initial setup requirements increase
Solution Approach 1:
The system implements dynamic programmatic adaptation that automatically adjusts availability management configurations in response to detected changes. This dynamic approach improves automation efficiency and response time while managing system complexity through adaptive rules that evolve based on actual business needs and failure patterns, rather than requiring static complex configurations.
Solution Approach 2:
The patent utilizes parameter changes by programmatically modifying availability management parameters and configurations in response to detected changes in business applications or infrastructure. This approach improves automation efficiency by dynamically adjusting system parameters rather than requiring complex structural changes, thereby reducing initial setup requirements while maintaining high response capability.
Data Source
AI summary
Programmatically adapting an Information Technology (IT) environment to changes associated with business applications of the IT environment. The programmatically adapting is performed in the context of the business application. The changes can reflect changes in the IT environment, changes to the business application, changes to the business environment and/or failures within the environment, as examples.