Solution Stack Identification and Monitoring in Complex Computer Environments
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
As computer environments grow in size and complexity, managing and securing them becomes increasingly inefficient due to the multitude of assets and parameters that need to be monitored in real time, making it impractical to track all aspects effectively.
Innovation Solution
A system and method that identifies and monitors solution stacks by receiving information about assets, determining their attributes, comparing these attributes to related assets, and iteratively refining the identification of assets within the stack to generate a current state, allowing for real-time monitoring of performance, security, and compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all parameters or aspects of the computer environment are monitored in real time, then comprehensive monitoring coverage is improved, but management complexity and operational burden increase significantly
Solution Approach 1:
The patent segments the computer environment into solution stacks, which are logical groupings of related assets (hardware, software, network devices) that work together to provide specific business functions. By organizing monitoring around solution stacks rather than individual assets, the system reduces management complexity while maintaining comprehensive coverage. Each solution stack can be monitored as a unified entity with its own set of parameters, making the monitoring process more manageable.
Solution Approach 2:
The patent creates a universal monitoring approach that applies across all solution stacks in the computer environment. The system uses consistent methodologies, data formats, and analysis techniques for monitoring different types of assets within different solution stacks. This universality simplifies operations by allowing the same monitoring framework to be applied broadly without requiring asset-specific customizations.
2Adaptability or versatility
If the number of assets increases, then the functionality and capability of the computer environment is improved, but the number of parameters to be monitored increases by many folds
Solution Approach 1:
The patent groups assets into solution stacks based on their functional relationships and business value. Instead of monitoring each asset individually and tracking every parameter separately, the system aggregates parameters at the solution stack level. This segmentation reduces the effective number of parameters to be monitored while still capturing the essential state of the entire environment, as solution stacks represent meaningful functional units.
Solution Approach 2:
The patent merges related parameters and assets into unified solution stack representations. By combining multiple individual asset parameters into consolidated solution stack-level metrics, the system reduces the total number of parameters that need to be monitored and managed. This merging approach maintains the ability to detect issues while simplifying the monitoring workload.
3Speed
If real-time monitoring of all assets is implemented, then response time to technical issues is improved, but operational burden and resource consumption increase
Solution Approach 1:
The patent segments monitoring into solution stack-level operations rather than individual asset monitoring. This allows the system to maintain fast response times for critical issues by continuously monitoring solution stack health, while reducing operational burden through the aggregated nature of the monitoring approach. Problems can be detected and responded to quickly at the solution stack level without the overhead of tracking every individual asset parameter.
Solution Approach 2:
The patent implements self-service monitoring where the system automatically identifies solution stacks, collects relevant data, analyzes parameters, and generates alerts without requiring extensive manual intervention. The system autonomously manages the monitoring process, reducing operational burden while maintaining rapid response capabilities through automated data collection and analysis.
Data Source
AI summary
Systems and methods for identifying and managing solution stacks integrated within a computer environment include one or more computing devices receiving information identifying one or more first assets as belonging to a solution stack integrated within a computer environment. The computing devices can iteratively identify additional assets of the computer environment related to, but not part of, the assets already identified as belonging to the solution stack, and determine, based on a comparison of attributes of the additional assets to attributes of the assets already identified as belonging to the solution stack, whether any of the additional assets belongs to the solution stack. The one or more computing devices can repeat these steps until no additional is identified as belonging to the solution stack. The computing devices can generate a current state of the solution stack defining at least a complete set of assets forming the solution stack.