Telemetry Agent Reconfiguration for Disparate Hardware Updates
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Solution Overview
Problem
Existing telemetry systems require skilled software developers for configuration and are static after deployment, limiting flexibility and ease of use, especially in managing data from disparate hardware.
Innovation Solution
A low-code/no-code visual designer graphical user interface allows laypersons to create and configure telemetry agents, enabling dynamic updating of deployed agents for data collection, storage, and transmission, reducing the need for skilled resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If telemetry agents are configured manually by skilled software developers, then configuration precision and reliability are improved, but device complexity and resource requirements increase
Solution Approach 1:
A visual configuration interface acts as an intermediary between users and the complex telemetry agent configuration system. This interface translates user-friendly visual selections into proper configuration parameters, eliminating the need for users to directly handle complex configuration files while maintaining configuration precision through automated validation and conversion processes.
Solution Approach 2:
The system enables self-service configuration through visual interfaces where users can independently create and modify telemetry agent configurations without requiring skilled software developers. The automated configuration generation and validation processes ensure that self-configured agents meet the same precision standards as manually configured ones.
2Stability of the object's composition
If telemetry agents are made static after deployment, then system stability is improved, but adaptability and ease of operation worsen
Solution Approach 1:
The system transitions from static post-deployment configurations to dynamic reconfigurable agents. Visual configuration interfaces allow users to modify agent behavior, data collection parameters, and transmission settings after deployment without requiring reinstallation or complex code changes, thereby achieving both stability through controlled updates and adaptability through user-friendly modification capabilities.
Solution Approach 2:
The system prepares for future configuration changes by maintaining version control and validation rules that ensure stable transitions. Configuration templates and pre-defined parameter sets are established in advance, allowing users to make adaptive changes while maintaining system stability through automated consistency checks and controlled update mechanisms.
3Measurement precision
If comprehensive telemetry data is collected from disparate hardware, then measurement precision and system monitoring capability are improved, but data management complexity and resource consumption increase
Solution Approach 1:
A universal data collection framework is implemented that can handle multiple hardware sources through a single standardized interface. The visual configuration system provides unified templates for collecting telemetry data from diverse sources including sensors, logs, and system metrics, eliminating the need for separate complex pipelines for each data source while maintaining comprehensive monitoring capability.
Solution Approach 2:
The data collection system is segmented into modular, independently configurable components that can be selectively activated. Users can divide data collection into discrete functional units (e.g., CPU monitoring, memory tracking, network analysis) and configure each through visual templates, reducing overall complexity while maintaining comprehensive monitoring through selective assembly of modular components.
4Ease of operation
If visual configuration interfaces are provided for laypersons, then ease of operation is improved, but device complexity increases
Solution Approach 1:
Complex configuration parameters are copied and represented as visual interface elements with intuitive labels and controls. Instead of exposing raw configuration files and complex parameters directly to users, the system creates visual copies that map to underlying technical parameters, allowing laypersons to interact with simplified representations while the system handles the complexity of actual configuration generation and validation.
Data Source
AI summary
The present invention relates generally to distributed computing systems, and more specifically, to a computerized system and method that allows for dynamic updating of distributed hardware using reconfigurable data management agents.