Cloud IT Management Prescription via Dynamic Rule Parsing
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Solution Overview
Problem
IT professionals often lack timely and accurate information to manage computing environments effectively, leading to delayed reactions to industry trends and inefficient management of numerous IT assets, especially in scenarios where knowledge is limited or resources are scarce.
Innovation Solution
A cloud-based entity that scans target computing environments, processes data using a dynamic set of rules, and provides context-sensitive IT management prescriptions, including alerts, actions, and recommendations to IT professionals, thereby automating and optimizing IT management tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If IT professionals manually gather and analyze data from multiple separate systems to determine IT management actions, then they can make informed decisions, but the process becomes time-consuming and inefficient especially when managing large numbers of IT assets
Solution Approach 1:
The patent combines multiple separate data sources and systems into a unified IT management platform that automatically aggregates data from diverse systems. This merging eliminates the need for IT professionals to manually gather data from disjointed sources, providing comprehensive information in a single interface while maintaining decision accuracy.
Solution Approach 2:
The system performs automated data collection, analysis, and prescription generation without requiring manual intervention from IT professionals. The platform self-services by automatically gathering data from multiple systems, analyzing it using predefined rules, and generating management prescriptions, thereby eliminating time-consuming manual processes.
2Reliability
If IT professionals rely on personal knowledge and experience to manage IT assets, then they can handle complex situations, but this approach becomes unsustainable when resources are scarce or knowledge is limited
Solution Approach 1:
The patent introduces an intermediary IT management platform that acts as a bridge between raw IT data and management decisions. This intermediary system encapsulates expert knowledge in the form of automated rules and algorithms, translating complex technical judgments into actionable prescriptions without requiring individual professionals to possess all expertise.
Solution Approach 2:
The system transforms qualitative expert knowledge into quantitative parameters and automated rules. By converting subjective judgment criteria into objective, measurable parameters with predefined thresholds and logic, the system maintains reliable decision-making quality while removing dependence on individual expertise levels.
3Speed
If IT professionals attempt to stay current with all industry trends and updates, then they can react timely to emerging issues, but this becomes difficult when managing large numbers of diverse IT assets
Solution Approach 1:
The patent creates a universal IT management platform that handles multiple functions including data collection, analysis, trend detection, and prescription generation. This multi-functional system can monitor diverse IT assets across the entire enterprise simultaneously, providing timely reactions to industry trends regardless of the scale or complexity of the IT environment.
4Ease of operation
If manual IT management processes are used, then flexibility in decision-making is maintained, but productivity decreases when managing large numbers of IT assets
Solution Approach 1:
The system performs preliminary actions by automatically gathering data, analyzing trends, and generating management prescriptions before IT professionals need to make decisions. This preliminary automated processing handles routine analytical tasks, allowing professionals to focus on final decision-making while significantly improving overall productivity through automated groundwork.
Data Source
AI summary
A method for providing a context sensitive information technology (IT) management prescription is described. In response to a user request, a scan is performed on a target computing environment and data is collected from the scan. The data is forwarded to a cloud based entity. At the cloud based entity the data is parsed in accordance with a dynamic set of rules to determine an IT management prescription specific to the context of the target computing environment. The IT management prescription is provided for access by the user.


