Instrumentation Code for Web Application Performance Monitoring
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Solution Overview
Problem
Conventional methods for monitoring web application performance are limited as they primarily focus on server-side metrics, failing to accurately reflect the end-user experience, especially with complex interactions facilitated by technologies like AJAX, Adobe Flash, and Microsoft Silverlight, which cannot be directly monitored from the server.
Innovation Solution
Incorporating instrumentation code into web application code at the client side to capture performance metrics, allowing for the transmission of user-centric performance data back to the server, enabling comprehensive monitoring of web application performance from the end-user perspective.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If server-side monitoring methods are used, then implementation simplicity is maintained, but measurement precision of end-user experience deteriorates
Solution Approach 1:
The patent introduces an intermediary instrumentation code that acts as a mediator between the web application and the monitoring system. This code is embedded in the web application and executed at the client side, capturing performance metrics locally and transmitting them to the server. This intermediary approach enables precise end-user experience measurement without requiring complex direct client-server instrumentation, thus resolving the contradiction between measurement precision and system complexity.
2Measurement precision
If client-side instrumentation code is inserted, then measurement precision of user experience improves, but device complexity increases
Solution Approach 1:
The instrumentation code is prepared and embedded in advance during the web application deployment phase. The code includes pre-configured instrumentation points, event handlers, and data collection mechanisms that are activated when the web application runs. This preliminary preparation eliminates the need for complex real-time code insertion and analysis at the client side, reducing device complexity while maintaining high measurement precision.
3Loss of information
If comprehensive client-side metrics are collected, then information completeness improves, but loss of time for data transmission increases
Solution Approach 1:
The patent extracts only the essential performance metrics needed for end-user experience monitoring from the comprehensive set of available client-side data. The instrumentation code selectively captures key performance indicators such as page load times, resource rendering times, and interaction response times, while filtering out redundant or less critical data. This extraction approach ensures information completeness for monitoring purposes while minimizing data transmission time and network overhead.
Data Source
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AI summary
Techniques for monitoring web application performance are provided. A request for a web application is received at an application server. A response pipeline at the application server generates client application code corresponding to the requested web application. The client application code is intercepted in the response pipeline. Instrumentation code is inserted into the intercepted client application code to generate an instrumented client application code. The instrumentation code is configured to be executed when the instrumented client application code is rendered at the client to capture performance information at the client, and is configured to transmit the captured performance information from the client.