Client Session Identifier for Targeted Debugging in Distributed Systems
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Solution Overview
Problem
In distributed and complex workflow management systems, troubleshooting runtime errors across multiple computer systems and service providers is challenging due to the lack of clear identification of request processing systems and the inefficiency of conventional debugging methods in load-balanced environments.
Innovation Solution
The use of client session identifiers to track and correlate troubleshooting actions across systems, allowing for targeted debugging operations by associating client session identifiers with specific troubleshooting points and actions within the workflow management system, enabling precise identification of error sources in a load-balanced environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional debugging methods are used in load-balanced environments, then debugging coverage is comprehensive, but troubleshooting efficiency deteriorates and system complexity increases
Solution Approach 1:
The patent segments the debugging process by introducing client session identifiers that uniquely identify specific client requests. This allows the system to divide troubleshooting efforts into targeted segments rather than applying blanket debugging across all clients, thereby maintaining comprehensive coverage while improving efficiency through selective activation of debugging operations based on the identified client session.
2Measurement precision
If debugging operations are activated for all clients, then error detection is thorough, but system resource consumption increases and performance deteriorates
Solution Approach 1:
The patent applies local quality by activating debugging operations only for specific client sessions that require troubleshooting, rather than uniformly for all clients. The client session identifier enables the system to apply different debugging intensities to different clients, maintaining thorough error detection for problematic sessions while conserving system resources for normal operations.
Solution Approach 2:
The debugging operations are activated periodically or on-demand based on client session identification rather than continuously for all clients. This allows the system to switch debugging on when needed (for specific client sessions) and off otherwise, reducing overall resource consumption while maintaining detection precision when active.
3Measurement precision
If client session identifiers are used to track requests, then troubleshooting precision is improved, but system complexity increases
Solution Approach 1:
The client session identifier serves multiple functions: it identifies the client, tracks the request flow across distributed systems, activates debugging operations, and correlates troubleshooting data. This multi-functionality reduces the need for separate tracking mechanisms, thereby improving precision without proportionally increasing system complexity.
Data Source
AI summary
Apparatus, systems, and methods for troubleshooting a software service are disclosed that operate to execute the software service on a computing platform to provide a software execution; receive a request at the software service, the request including a client session identifier; identify a troubleshooting point in the software execution based on the client session identifier; and perform a troubleshooting action when the troubleshooting point is detected during the software execution. Additional apparatus, systems, and methods are disclosed.