Telemetry Monitoring With Predictive Resolution for Client Device Faults
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Solution Overview
Problem
Organizations face challenges in quickly resolving issues with client devices due to a lack of accessible data, often requiring resource-intensive replication of customer issues to identify root causes, and lack proactive measures for mitigating anomalous behaviors.
Innovation Solution
Implementing a telemetry monitor that predicts outcomes of execution paths and applies resolution strategies to prevent faults, using machine learning to analyze telemetry data and intervene proactively, reducing the need for resource-intensive issue replication and enabling proactive issue mitigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If organizations use traditional reactive approaches to monitor client devices, then they can identify issues after they occur, but they require resource-intensive replication of customer issues to identify root causes and lack accessible data for quick resolution
Solution Approach 1:
The patent implements continuous telemetry monitoring that proactively collects and analyzes device data before issues occur. The system establishes baselines of normal device behavior and detects deviations in real-time, enabling early intervention before full device failures happen. This preliminary action eliminates the need for reactive issue replication by having data ready in advance.
Solution Approach 2:
The system continuously monitors telemetry data and provides feedback loops that compare actual device performance against established baselines. When anomalies are detected, the system generates alerts and can automatically trigger remediation workflows. This feedback mechanism enables rapid response to issues without requiring manual replication, directly improving resolution speed while maintaining reliability.
2Difficulty of detecting and measuring
If organizations replicate customer issues in-house to identify root causes, then they can diagnose problems, but the process is very resource-intensive
Solution Approach 1:
Instead of physically replicating customer issues in-house, the patent uses telemetry data copying and analysis. The system collects representative telemetry samples from multiple devices and analyzes them to identify root causes. This virtual copying through data analysis eliminates the need for resource-intensive physical replication while maintaining diagnostic accuracy.
Solution Approach 2:
The patent introduces telemetry data as an intermediary between the device and the analysis system. Rather than directly observing or replicating device behavior, the system analyzes telemetry metrics that mediate the connection between device state and diagnostic conclusions. This intermediary approach reduces resource consumption by working with data representations rather than physical device replication.
3Productivity
If organizations lack accessible telemetry data, then they can maintain simpler systems, but they cannot quickly resolve issues or take proactive measures
Solution Approach 1:
The patent segments the monitoring system into modular components: telemetry collection agents on devices, data transmission protocols, centralized analysis platforms, and remediation workflow engines. This segmentation allows the system to handle complexity in manageable modules while providing fast issue resolution through specialized functions in each segment. The modular architecture maintains productivity without overwhelming system complexity.
Solution Approach 2:
The telemetry monitoring system is designed as a universal platform that handles multiple functions: continuous monitoring, baseline establishment, anomaly detection, root cause analysis, and automated remediation. This multi-functional approach improves productivity by consolidating multiple capabilities into a single system rather than requiring separate tools for each function, managing complexity through integration rather than proliferation of separate systems.
Data Source
AI summary
Methods, apparatus, systems and articles of manufacture for continuous monitoring of telemetry in the field are disclosed. An example apparatus includes a fault predictor to predict an outcome of one or more execution paths. A resolution handler is to determine one or more resolution strategies for an execution path and apply a resolution strategy. An impact trainer is to determine whether the predicted outcome of the execution path has changed and store impact data of one or more applied resolution strategies.