Centralized Capture Server for Network Traffic Management
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Solution Overview
Problem
Managing network traffic data across large and complex corporate IT infrastructures is challenging due to the difficulty in identifying and coordinating capture agents, leading to inefficient troubleshooting and performance analysis, especially when dealing with numerous applications and network errors.
Innovation Solution
A centrally located capture server manages multiple capture agents, associating them with applications through profiles, automatically identifying and archiving relevant network traffic data, and providing tools for analysis, thereby streamlining troubleshooting and development processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple capture agents are deployed at various network points to monitor traffic, then network monitoring coverage is improved, but the complexity of managing and identifying which agents are associated with particular applications increases
Solution Approach 1:
The patent introduces a centralized capture server as an intermediary between multiple capture agents and application developers. The capture server receives captured data from numerous agents, automatically identifies which agents are associated with particular applications using heuristics, and delivers the relevant data to developers. This mediator eliminates the need for developers to manually manage or identify individual agents, resolving the contradiction between comprehensive monitoring coverage and management complexity.
2Loss of information
If capture agents continuously monitor all network traffic, then complete traffic data is captured, but the time and resources required to extract and analyze relevant data increase
Solution Approach 1:
The capture server performs preliminary action by automatically identifying and filtering relevant traffic data before it reaches the application developer. Using heuristics that analyze patterns in the captured data, the server pre-processes the information to determine which agents are associated with specific applications and what data is relevant. This preliminary filtering eliminates the need for developers to manually search through all captured traffic, significantly reducing analysis time while maintaining data completeness.
3Ease of operation
If developers manually identify and configure capture agents for each application, then precise control over data capture is achieved, but the productivity and efficiency of the development process decrease
Solution Approach 1:
The system implements self-service by enabling capture agents to automatically associate themselves with applications through heuristics-based identification. The capture server autonomously analyzes captured traffic patterns, determines which agents are monitoring which applications, and configures the data flow accordingly without requiring manual developer intervention. This automation maintains precise control over data capture while dramatically improving development productivity by eliminating time-consuming manual configuration tasks.
Data Source
AI summary
A system and method for managing captured network traffic data is provided. The invention comprises a plurality of capture agents, each being configured to capture the network traffic associated with one or more applications. Each application is associated with one or more capture agents according to an application profile that is stored and maintained in a capture server. When analysis of an application's network traffic is required, the capture server contacts the corresponding capture agents according to the application profile. The capture server then effects the identification and archiving of the network traffic that corresponds to a user-defined capture condition. A database at the capture server maintains a record that associates the corresponding network traffic with the user-defined capture condition such that the corresponding network traffic can later be retrieved and analyzed using an analysis engine.