Conditional IT Runtime Control via Pairing Constructs
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Solution Overview
Problem
Current IT environments lack the tools and infrastructure to manage availability and recovery effectively, leading to unpredictable downtime, costly failures, and labor-intensive manual processes, with existing solutions being inflexible and proprietary, making it difficult to achieve consistent recovery across diverse resources and platforms.
Innovation Solution
A Business Resiliency Management System that enables conditional management of IT environments through runtime analysis of pairing constructs, allowing for dynamic evaluation and control of resource pairings, redundancy configurations, and automated recovery workflows to align with business objectives, integrating availability management with normal business operations.
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 in customizing recovery actions is improved, but labor intensity and time consumption increase significantly
Solution Approach 1:
The system enables automatic discovery and evaluation of pairing constructs between business applications and IT resources. The runtime engine automatically monitors, evaluates, and controls management actions without requiring manual intervention, allowing the system to self-manage availability and recovery operations while maintaining customizable recovery policies.
Solution Approach 2:
The system performs preliminary evaluation of pairing constructs and establishes recovery policies before failures occur. By pre-configuring pairing relationships and recovery actions, the system can automatically respond to failures without requiring manual assessment at the time of incident, reducing labor intensity while maintaining flexibility.
2Adaptability or versatility
If disparate point products are integrated to create end-to-end availability solutions, then coverage scope is improved, but system complexity and integration difficulty increase
Solution Approach 1:
The system merges multiple availability management functions into a unified platform that handles monitoring, evaluation, and control of pairing constructs across diverse IT resources. By consolidating these functions into a single system rather than integrating disparate point products, the solution reduces integration complexity while maintaining comprehensive coverage.
Solution Approach 2:
The availability management system is designed as a universal platform capable of managing pairing constructs across different business applications, IT resources, and failure scenarios. This multi-functional approach eliminates the need for separate point products for different scopes, reducing integration complexity while maintaining broad coverage.
3Measurement precision
If manual assessment is performed for every change in application or infrastructure, then accuracy in impact analysis is improved, but response time and productivity decrease
Solution Approach 1:
The system continuously monitors pairing constructs and automatically evaluates the impact of changes in real-time. By implementing continuous feedback loops that track relationships between business applications and IT resources, the system maintains accurate impact analysis without requiring manual reassessment for every change, thus improving response time while preserving accuracy.
Solution Approach 2:
The system pre-establishes pairing constructs and evaluates potential impacts before changes are implemented. By performing preliminary impact analysis and having recovery policies ready in advance, the system can quickly respond to actual failures without requiring time-consuming manual assessment at the moment of incident.
Data Source
AI summary
Management of an Information Technology (IT) environment is conditionally controlled based on runtime analysis of resource pairing constructs. Resource pairings are provided, and evaluated based on the current state of the environment. This real-time information is then used in performing managerial tasks, the results of which are effected by the runtime conditions.