Application–Transport Runtime Instrumentation for Request Discrepancies
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Solution Overview
Problem
In complex software applications like UCaaS platforms, determining whether all code points have been instrumented for data collection and ensuring correct invocation of backend systems is challenging, especially when source code is not available, leading to issues like unintentional mixing of test data with production data due to label loss or incorrect propagation.
Innovation Solution
Implementing a dual-interception strategy at both the transport and application layers to log outbound requests, comparing data from both layers to identify discrepancies and validate traffic flow and label propagation, thereby identifying un-instrumented points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If runtime instrumentation is implemented to detect application layer requests, then measurement precision of traffic flow is improved, but device complexity increases due to dual-layer instrumentation overhead
Solution Approach 1:
The system segments instrumentation into two distinct layers: application layer instrumentation that intercepts outbound requests, and transport layer instrumentation that intercepts actual network traffic. Each layer independently logs requests with appropriate metadata, allowing comprehensive coverage without requiring a single complex instrumentation mechanism.
Solution Approach 2:
The patent introduces an intermediary comparison mechanism that receives logs from both application and transport layers, correlates requests using request identifiers, and detects discrepancies. This intermediary layer manages the complexity of cross-layer correlation while enabling precise measurement through systematic comparison.
2Manufacturing precision
If dual-layer interception is implemented to identify un-instrumented code, then manufacturing precision of instrumentation coverage is improved, but loss of time increases due to comprehensive logging and comparison operations
Solution Approach 1:
The system performs preliminary actions by instrumenting both layers in advance and logging requests with unique identifiers during normal operation. This pre-collection of data enables efficient discrepancy detection without requiring time-consuming code scanning or analysis when issues are detected.
Solution Approach 2:
The patent creates copies of request metadata from both application and transport layers, storing them in separate log files for comparison. This copying approach enables parallel processing and efficient correlation without requiring direct modification or re-analysis of the actual code or traffic streams.
3Reliability
If comprehensive logging at both layers is performed to detect label propagation issues, then reliability of data integrity is improved, but use of energy increases due to extensive data collection and processing
Solution Approach 1:
The instrumentation focuses on capturing only the essential local quality attributes needed for discrepancy detection: request identifiers, domain information, and label data. By logging only these critical fields rather than complete request payloads, the system maintains high reliability for detecting label propagation issues while minimizing energy consumption.
Data Source
AI summary
An initialization function is configured to modify respective bytecode of classes associated with transport layer functionality to enable logging of first data associated with transport layer requests. A discrepancy between at least one of the transport layer requests and application services layer requests is identified by analyzing the first data logged by the initialization function and second data associated with the application services layer requests, where the discrepancy indicates an instance where a transport layer request lacks a corresponding application services layer request. Data related to a first access mechanism for accessing a database and data related to a second access mechanism for accessing the same database may be logged.