Multi-Stage View for Sequential Application Latency Analysis
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Solution Overview
Problem
In complex software applications with multiple sequential stages, identifying and optimizing bottlenecks to reduce message processing latency is challenging due to varying latency of stages and inter-arrival rates, making it difficult to predict and prioritize improvements effectively.
Innovation Solution
A Multi-Stage View is introduced, allowing users to visualize and manipulate stage latencies and message arrival rates interactively, enabling simulation of different application states and predicting overall application latency, thereby facilitating the identification of bottlenecks and optimal resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If latency information is collected and logged for each message through traditional monitoring systems, then message processing latency can be measured, but the complexity of analyzing and optimizing multi-stage application performance increases significantly
Solution Approach 1:
The patent segments the application performance analysis into distinct stages, with each stage having its own state representation. The Multi-Stage View divides the complex multi-stage application into manageable individual stages, allowing latency measurement at each stage without overwhelming complexity in the overall analysis system.
Solution Approach 2:
The patent introduces an intermediary state generation system that sits between the message processing stages and the analysis tools. This system generates standardized state representations that simplify the interface between complex application internals and external analysis tools, reducing the complexity burden on both sides.
2Loss of information
If traditional performance monitoring systems are used to track message latency through multiple sequential stages, then latency data can be collected, but the difficulty of identifying and prioritizing bottlenecks increases
Solution Approach 1:
The patent implements feedback mechanisms where the state generation system continuously monitors stage latencies and provides feedback through the Multi-Stage View. This feedback loop enables dynamic identification of bottlenecks by comparing actual performance against expected performance, making bottleneck detection systematic rather than manual.
Solution Approach 2:
The patent replaces manual bottleneck analysis with an automated state-based system. Instead of manually examining latency logs and trying to identify bottlenecks, the system automatically generates states, computes latencies, and presents them in the Multi-Stage View, substituting mechanical manual analysis with automated computational analysis.
3Productivity
If software engineers manually analyze latency logs to optimize application performance, then some performance insights can be gained, but the time and resources required for optimization increase significantly
Solution Approach 1:
The patent performs preliminary actions by pre-computing and caching state representations and latency information. The state generation system prepares performance data in advance, organizing it into the Multi-Stage View structure before optimization analysis is needed. This preliminary organization significantly reduces the time required for actual optimization work.
Solution Approach 2:
The patent creates simplified copies of the complex application state through state representations. Instead of analyzing the full complexity of the multi-stage application directly, engineers work with copied state data in the Multi-Stage View that preserves essential performance characteristics while being much easier to analyze and manipulate.
Data Source
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AI summary
A computer implemented method includes collecting, at a memory of a computing device having a processor, message processing latency information about processing electronic data transaction request messages over a timeframe by an application including a plurality of sequential stages; presenting, in a graphical user interface (GUI) rendered on a display coupled to the computing device, a digital dashboard, the digital dashboard displaying: for each stage, a stage box representing the stage positioned on a y-axis so as to represent a message processing latency associated with the stage over the timeframe; an inter-arrival message rate line positioned on the y-axis so as to represent an arrival rate between the electronic data transaction request messages over the timeframe; and an application box representing the application positioned on the y-axis so as to represent a message processing latency associated with the application over the timeframe; and in response to detecting a re-positioning of a stage box or the inter-arrival message rate line, displaying, on the digital dashboard, the application box at a different position associated with an expected message processing latency.