Computer Environment Segmentation and Rendering for Stack Monitoring
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Solution Overview
Problem
Existing systems struggle to efficiently monitor and manage solution stacks in computer environments due to deviations from vendor specifications, leading to performance, security, and operational health issues.
Innovation Solution
Implementing intelligent segmentation and rendering of computer environment data to accurately assess and visualize the current state of solution stacks, allowing for real-time monitoring and diagnosis of deviations from recommended configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive monitoring of all solution stacks is implemented, then measurement precision and reliability improve, but device complexity and computational resources increase
Solution Approach 1:
The patent segments the computer environment into multiple solution stacks, each monitored independently. Each solution stack is assessed separately for compliance with vendor specifications, allowing comprehensive monitoring without overwhelming complexity. The segmentation enables targeted analysis of specific solution stacks based on their operational importance and deviation from specifications.
Solution Approach 2:
The monitoring system applies different assessment criteria and depths to different solution stacks based on their local characteristics. Solution stacks are evaluated individually for their specific compliance issues, performance metrics, and security implications, rather than applying a uniform monitoring approach to all components.
2Reliability
If real-time monitoring of solution stack deviations is implemented, then reliability and security improve, but use of energy and computational resources increase
Solution Approach 1:
The system performs preliminary assessment of solution stacks against vendor specifications to identify deviations before they cause critical failures. By continuously evaluating compliance status and detecting deviations early, the system can alert administrators proactively, reducing the need for intensive real-time intervention and lowering overall computational resource requirements.
Solution Approach 2:
The monitoring system provides feedback about solution stack compliance status and deviations from vendor specifications. This feedback mechanism enables continuous improvement of system reliability while optimizing resource usage by focusing computational efforts on areas with identified issues rather than uniformly processing all monitoring data.
3Ease of operation
If detailed visualization of solution stack states is implemented, then ease of operation and diagnosis improve, but device complexity and data processing requirements increase
Solution Approach 1:
The visualization system presents solution stack information in segmented, organized views that separate different aspects of monitoring data. Each solution stack is displayed with its specific compliance status, performance metrics, and security information in distinct visual sections, making diagnosis easier while managing data complexity through structured presentation.
Solution Approach 2:
The system uses visual representations and graphical interfaces as intermediaries between raw monitoring data and administrator decision-making. These visualizations translate complex compliance data and solution stack states into intuitive displays, reducing the cognitive load on administrators and simplifying the diagnosis process without requiring direct manipulation of complex data structures.
Data Source
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AI summary
Systems and methods for segmenting computer environment data can include a computer system obtaining data of a computer environment including a plurality of assets. The computer system can filter, using the data and one or more first criteria, the plurality of assets to identify a set of filtered assets. The computer system can determine, using the data, a state of each asset of the set of filtered assets, and identify one or more asset clusters within the set of filtered assets, using one or more slicing criteria. Each asset cluster can include assets of the set of filtered assets identified based on corresponding values of the one or more slicing criteria. The computer system can generate a visual representation of an asset cluster of the one or more asset clusters, and assign the visual representation to a user account or a computing device associated with a user profile.