Client Performance Capture Tool for Fat-Client Web Apps
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Solution Overview
Problem
Current performance testing methodologies are server-oriented and inadequate for assessing the rendering, loading, and JavaScript execution issues in fat-client web applications, leading to poor client experience and inefficient debugging processes.
Innovation Solution
A remote client capture tool that captures trace data from browsers at remote client devices, saves it as snapshot files, and generates performance data for real-time analytics, enabling efficient detection of performance problems and regression analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If server-oriented performance testing is used, then network level statistics can be measured, but client-side rendering and JavaScript execution issues cannot be detected
Solution Approach 1:
The patent inverts the traditional server-oriented testing approach by implementing a client-oriented capture tool that executes on the client device itself. This allows direct measurement of client-side performance metrics including rendering, JavaScript execution, and DOM manipulation, which were previously inaccessible to server-based testing methodologies.
Solution Approach 2:
The patent introduces a browser extension as an intermediary component that bridges the gap between the client application and the capture tool. The extension injects tracing code into the browser to capture detailed client-side events and transmits them to the analysis system, enabling comprehensive client-side performance measurement without requiring changes to the core browser architecture.
2Ease of operation
If browser development tools are used for inspection, then debugging capability is provided, but automated reporting and benchmarking are not available
Solution Approach 1:
The patent implements self-service functionality by enabling the capture tool to automatically execute performance tests, collect trace data, analyze results, and generate comprehensive reports without requiring manual intervention. The system autonomously benchmarks application performance across multiple clients and identifies performance regressions, eliminating the need for developers to manually inspect and document performance issues.
Solution Approach 2:
The patent establishes a feedback loop where performance data is continuously captured, analyzed, and fed back to developers through automated reports. The system compares performance metrics across different versions and configurations, providing actionable feedback on performance regressions and optimization opportunities, enabling data-driven decision making for performance improvement.
3Difficulty of detecting and measuring
If developers manually search for performance anomalies, then problem detection is possible, but the process is time-consuming and inefficient
Solution Approach 1:
The patent implements preliminary action by proactively capturing and analyzing performance data before performance issues manifest in production environments. The system continuously monitors client-side performance metrics and identifies potential problems through automated analysis, allowing developers to address performance issues before they impact end users, thereby improving both detection capability and development productivity.
Data Source
AI summary
The invention relates to a capture tool that remotely captures client-side performance data comprising: an interactive interface that receives user input; a computer processor, coupled to a memory component and the interactive interface, programmed to: receive, via a command line interface, a test command that comprises a path to a test script; launch, via a test runner component, a browser, at a remote client device, to execute a test in response to the test command; capture trace data from the browser launching at the remote client device; save the trace data at a local storage as snapshot files; and generate, via the interactive interface, performance data based on the trace data.


