IT Infrastructure Management via Application Characteristic Thresholds
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Solution Overview
Problem
Infrastructure administrators lack visibility to modify applications, leading to improper and ineffective management of IT systems when relying on previous knowledge or statistical data, as workloads appear to change suddenly from an infrastructure perspective.
Innovation Solution
A management program that updates and compares performance thresholds with consideration of application characteristics, managing remediation plans by retrieving existing plans for similar situations and generating new thresholds as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If infrastructure administrators manage IT systems based on previously obtained knowledge or statistical data, then management can be automated and efficient, but the management becomes improper and ineffective when workloads change suddenly
Solution Approach 1:
The patent implements feedback by continuously monitoring application characteristics and workload changes, then dynamically adjusting performance thresholds and remediation plans. The system receives feedback from performance metrics and application behavior, compares them against baseline characteristics, and automatically updates management parameters to maintain effectiveness under changing conditions.
Solution Approach 2:
The system transitions from static, pre-defined thresholds to dynamic thresholds that adapt to changing application characteristics. By continuously tracking application behavior patterns and adjusting performance thresholds accordingly, the system maintains reliability while accommodating workload changes without requiring manual reconfiguration.
2Ease of manufacture
If performance thresholds are set based on statistical data without considering application characteristics, then threshold configuration is simplified, but threshold accuracy and applicability deteriorate
Solution Approach 1:
The system performs preliminary characterization of applications during deployment or initial operation, establishing baseline performance characteristics and patterns before production use. This preliminary action captures application-specific behaviors that should be reflected in performance thresholds, enabling accurate thresholds to be automatically generated without manual configuration.
Solution Approach 2:
The system changes threshold parameters dynamically based on detected application characteristics. Instead of using fixed statistical thresholds, the system adjusts performance thresholds according to application-specific patterns, workload types, and operational characteristics, thereby maintaining high accuracy across diverse applications without complex manual configuration.
3Productivity
If generic remediation plans are used for all performance issues, then remediation process is standardized and efficient, but remediation effectiveness deteriorates for application-specific issues
Solution Approach 1:
The system applies local quality by tailoring remediation plans to specific application characteristics and issue types. Instead of universal remediation approaches, the system selects and customizes remediation actions based on the detected application behavior patterns, workload characteristics, and specific performance issues encountered, ensuring effectiveness for each application context.
Solution Approach 2:
The system dynamically adjusts remediation plan parameters based on application characteristics and current performance conditions. By modifying remediation strategies according to application-specific patterns and the nature of performance degradation, the system maintains both efficiency through automation and effectiveness through customization.
Data Source
AI summary
Example implementations described herein are directed to systems and methods for using and updating performance thresholds based on application characteristics. Example implementations compare monitored performance metrics with thresholds having similar application characteristics as the one monitored. Example implementations further manage remediation plans to solve performance issues based on application characteristics. In example implementations, management software retrieves existing plans created for similar situations in response to an issued alert.