Dynamic Tracing Control via Intermediary Proxies
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Solution Overview
Problem
Debugging and identifying errors in software code across distributed network environments is time-consuming, labor-intensive, and complicated by multiple trust boundaries and heterogeneous systems.
Innovation Solution
A dynamic tracing control framework is implemented in an edge computing environment, using tracing proxies and verification intermediaries to monitor events and automate verification, while minimizing performance overhead and integrating with existing security policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distributed network infrastructure is added to enable monitoring and debugging across multiple systems, then system monitoring capability is improved, but debugging complexity and time consumption increase
Solution Approach 1:
The patent introduces tracing proxies as intermediary components that are inserted into service call chains. These proxies automatically capture, correlate, and transmit tracing information between services without requiring direct modification of the services themselves. The proxies act as mediators that bridge the monitoring gap across distributed trust boundaries, enabling centralized tracing while minimizing the time and effort required for debugging distributed systems.
Solution Approach 2:
The system performs preliminary actions by pre-configuring tracing proxies and verification intermediaries before actual service execution. Tracing information is collected and correlated in advance, allowing debugging and monitoring operations to be performed more efficiently. The framework establishes tracing infrastructure and policies beforehand, so that when debugging is needed, the information is already captured and organized, reducing the time required for analysis.
2Measurement precision
If tracing proxies and verification intermediaries are deployed to monitor service execution, then debugging capability is improved, but performance overhead increases
Solution Approach 1:
The system applies partial action by selectively enabling tracing only for specific services, service calls, or trust boundaries that require monitoring. Rather than instrumenting every service and every call path, the framework allows administrators to configure tracing on a selective basis, capturing only the necessary information for debugging while leaving other paths uninstrumented. This reduces the overall performance overhead while maintaining adequate debugging capability for critical paths.
Solution Approach 2:
The tracing proxies are designed as lightweight intermediary components that minimize their impact on service execution. They use efficient data structures and algorithms to capture and correlate tracing information with minimal processing overhead. The proxies batch and compress tracing data, reducing the frequency and volume of communications with the centralized tracing system, thereby reducing the performance penalty associated with monitoring.
3Loss of information
If centralized tracing control is implemented across distributed systems, then system-wide visibility is improved, but trust boundary violations and security risks increase
Solution Approach 1:
The system introduces verification intermediaries as security-aware mediators that operate at trust boundaries. These intermediaries inspect and verify tracing information as it crosses trust boundaries, ensuring that sensitive data is properly handled and that tracing operations comply with security policies. The verification intermediaries act as gatekeepers that maintain system-wide visibility while respecting and enforcing trust boundary requirements, preventing security violations while enabling centralized tracing control.
Solution Approach 2:
The framework applies local quality by allowing different tracing and verification policies to be applied at different trust boundaries and locations within the distributed system. Rather than using a single uniform tracing approach, the system can configure location-specific tracing behaviors, data collection requirements, and verification rules that are appropriate for each trust boundary. This enables system-wide visibility through coordinated tracing while maintaining local security requirements and trust boundary integrity.
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture to provide a distributed edge-based tracing framework system are disclosed. An example system includes an intermediary generator to generate an intermediary in response to a monitoring request, the intermediary to monitor execution of a service executing in an execution vehicle; an intermediary controller to gather data regarding the monitored execution of the service from the intermediary, and control the intermediary in response to the monitored execution; and a remediator to provide a remediation in response to an error identified in the monitored execution of the service.


