Cloud Native Observability Migration Tracking and Assessment
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Solution Overview
Problem
Companies face challenges in tracking and assessing the adoption of cloud native observability and monitoring systems, particularly for larger organizations, as existing methods are cumbersome and difficult to implement.
Innovation Solution
An automated system that tracks and monitors the adoption of cloud native monitoring systems, such as OpenTelemetry, across a company or organization, providing metrics and visualizations to predict completion and gauge success.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple testing agents are used to perform testing with respect to an online application, then testing coverage and reliability are improved, but device complexity and parameter management difficulty increase
Solution Approach 1:
The patent consolidates multiple testing agents into a single testing agent that performs all testing functions. This agent combines the capabilities of multiple agents while managing all testing parameters centrally, thereby maintaining testing reliability while reducing system complexity and parameter management overhead.
Solution Approach 2:
The single testing agent is designed to perform multiple testing functions that would traditionally require separate specialized agents. It universally handles various testing tasks including performance testing, security testing, and functional testing, thereby eliminating the need for multiple separate agents while maintaining comprehensive testing coverage.
2Measurement precision
If multiple testing agents with overlapping parameters are used, then testing thoroughness is improved, but parameter management complexity and resource consumption increase
Solution Approach 1:
The patent merges overlapping testing parameters from multiple agents into a single consolidated parameter set. This consolidation eliminates redundant parameter management while maintaining comprehensive testing coverage, thereby reducing resource consumption associated with managing duplicate parameters across multiple agents.
Solution Approach 2:
The invention extracts and consolidates only the essential, non-redundant parameters needed for thorough testing. By removing overlapping and duplicate parameters from the multi-agent system, it achieves testing thoroughness with reduced parameter management overhead and lower resource consumption.
3Device complexity
If a singular testing agent is used to perform all testing, then device complexity and parameter management are reduced, but testing coverage and reliability may be compromised
Solution Approach 1:
The single testing agent is designed as a universal agent capable of performing diverse testing functions including performance testing, security testing, compatibility testing, and functional testing. This multi-functionality ensures comprehensive testing coverage and maintains reliability while simplifying the system architecture.
Solution Approach 2:
The testing agent dynamically adjusts and manages a consolidated set of parameters to optimize testing effectiveness. By intelligently managing parameters across different testing domains, the single agent achieves comprehensive coverage and maintains reliability without requiring multiple specialized agents.
Data Source
AI summary
In one embodiment, a device obtains testing parameters used by a plurality of agents in a network to perform testing with respect to an online application. The device identifies overlapping parameters among the testing parameters and generates a consolidated set of testing parameters for the overlapping parameters. The device configures the plurality of agents such that a singular testing agent performs testing with respect to the online application using the consolidated set of testing parameters instead of multiple testing agents performing testing with respect to the online application using the overlapping parameters.