Automated Network Flow Mapping for Troubleshooting
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Solution Overview
Problem
Existing systems lack an automated and intelligent method for generating and updating complex networked computing application flows, making it difficult for technical support teams to troubleshoot issues due to incomplete or outdated architecture diagrams.
Innovation Solution
A system for automated self-discoverable generation of networked computing application flows, which receives an initial input including attributes and endpoints of a computing application, uses APIs to gather data on nodes and connections, generates a mapping across relevant layers, dynamically detects changes, and updates the mapping accordingly, presenting a visual representation to a user device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used to create and update application flow mappings, then the mappings can be customized and detailed, but the process is time-consuming and prone to errors
Solution Approach 1:
The system enables automated self-discovery of application flows by automatically collecting data from multiple sources, generating mappings without human intervention, and updating them when changes are detected. This eliminates manual effort while maintaining high accuracy through systematic data collection and processing.
Solution Approach 2:
The patent replaces manual mechanical processes with automated computational systems. Data collection, flow generation, and update detection are performed automatically using software agents that scan networks, collect configuration data, and generate visual representations without human intervention.
2Loss of information
If comprehensive data collection is performed to ensure complete application flow mappings, then the accuracy and completeness improve, but the system complexity and resource requirements increase
Solution Approach 1:
The system divides the complex task of application flow mapping into separate functional modules: data collection agents that gather information from specific sources, a processing engine that generates flows, and an update detection mechanism. Each module handles a specific aspect, reducing overall system complexity while achieving comprehensive coverage.
Solution Approach 2:
The system employs universal data collection agents that can operate across multiple data sources and application types using standardized protocols. These agents collect configuration data, network topology, and service information in a unified manner, simplifying the system while ensuring complete information gathering.
3Reliability
If real-time monitoring and dynamic updates are implemented, then the mappings remain current and useful for troubleshooting, but the computational resources and processing overhead increase
Solution Approach 1:
The system implements periodic monitoring and update detection at scheduled intervals rather than continuous real-time monitoring. Data collection agents periodically scan for changes in application configurations and network topology, triggering flow regeneration only when changes are detected, thus reducing computational overhead while maintaining current mappings.
Solution Approach 2:
The system employs change detection mechanisms that monitor for modifications in application environments and provide feedback to trigger selective updates. When changes are detected, the system regenerates only the affected flow mappings rather than performing full system-wide analysis, optimizing resource usage while ensuring reliability.
Data Source
AI summary
A system is provided for secure cross partition access and computing device recovery. In particular, the system may comprise a computing device that includes a non-transitory memory or storage device comprising one or more partitions. A user may attempt to log into the device and get locked out of the primary partition of the device after a threshold number of unsuccessful login attempts. The additional partitions of the computing device may store a portion of the authentication credential needed to access the primary partition and prompt the user using an item from the user data stored in a user-specific database. Upon detecting that the user has successfully accessed a threshold number of partitions and/or successfully provided responses to the prompts from a threshold number of partitions, the system may unlock and grant access to the locked partitions.