Third-Party Automation Profiling for Web Performance
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Solution Overview
Problem
Existing website performance monitoring methods fail to adequately address performance issues with third-party components, as they are often hosted on remote servers and not developed specifically for the website, leading to potential performance degradation.
Innovation Solution
A method and system for profiling web page performance by selecting a target web page, loading it in a testing environment, acquiring data on third-party process metrics, identifying underperforming processes, and implementing corrective actions to remediate performance issues before user access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If third party components are integrated to provide additional functionality and improve user experience, then website functionality and user experience are improved, but website performance may degrade
Solution Approach 1:
The system performs preliminary profiling of third party components during development and testing phases to establish baseline performance metrics. This allows performance issues to be identified and addressed before the components are deployed to production, preventing performance degradation while maintaining functionality enhancement
Solution Approach 2:
The system continuously monitors performance metrics of integrated third party components in production environments and provides feedback to stakeholders. This enables ongoing optimization and replacement of components that cause performance degradation, balancing functionality with performance reliability
2Measurement precision
If existing website performance monitoring methods are used, then first party component performance can be monitored, but third party component performance issues cannot be adequately detected
Solution Approach 1:
The system segments performance monitoring into separate tracking mechanisms for first party and third party components. Third party components are individually profiled and monitored with dedicated performance metrics, allowing precise detection of performance issues specific to external components that traditional monolithic monitoring methods would miss
Solution Approach 2:
The system introduces an intermediary profiling layer that sits between the website and third party components. This intermediary captures performance data from third party components without interfering with their operation, enabling detection of performance issues while maintaining the components' functionality
3Productivity
If third party components are deployed without prior performance evaluation, then website development time is reduced, but performance degradation occurs in production
Solution Approach 1:
The system performs automated performance profiling of third party components during the development and testing phases. This preliminary evaluation establishes performance baselines and identifies potential issues before production deployment, ensuring that only components meeting performance criteria are integrated, thus maintaining both development speed and production reliability
Solution Approach 2:
The system evaluates multiple performance parameters (load time, resource consumption, responsiveness) of third party components during testing. Components are approved for integration based on meeting predefined thresholds for these parameters, allowing rapid deployment of only those components that maintain acceptable performance standards
Data Source
AI summary
Systems and methods relating to detection and remediation of underperforming third party processes are disclosed. Such systems and methods include implementing web page performance profiling by loading a target web page in a selected testing environment and acquiring data related to performance metrics of third party processes in the selected testing environment. The techniques may be applied to manage third party embedded processes on a client website and implementing a corrective action to remediate the impacting events before the underperforming third party processes are further accessed, thus improving website performance.