Automated Agent Deployment via Traffic Analysis
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Solution Overview
Problem
The manual and resource-intensive process of deploying agents for monitoring application components in IT infrastructure makes it challenging to track and manage changes, leading to inefficiencies in management systems.
Innovation Solution
Automated deployment of agents across IT infrastructure by tracking traffic to identify unknown application components and deploying agents to monitor them, reducing the need for manual intervention and maintaining accurate system configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual agent deployment is used to monitor application components, then deployment precision can be controlled, but the time and resources required for installation and maintenance increase significantly
Solution Approach 1:
The system enables self-service through automated agent deployment. The management system automatically discovers application components by monitoring traffic patterns and autonomously deploys agents to identified components without requiring manual IT manager intervention for each deployment decision
Solution Approach 2:
The system changes the parameter of deployment automation from manual to automatic by implementing traffic-based discovery mechanisms. The management system monitors communication patterns and automatically identifies unknown application components, transforming the deployment process from a manual task to an automated parameter-driven process
2Measurement precision
If manual agent deployment is used to ensure accurate tracking of transactions, then measurement precision is maintained, but the complexity of device management increases
Solution Approach 1:
The system implements feedback through continuous traffic monitoring. The management system monitors communications between application components, uses this feedback to identify unknown components, and automatically deploys agents to maintain accurate transaction tracking. This closed-loop feedback mechanism maintains measurement precision while automating the process
3Productivity
If automated agent deployment is implemented to reduce manual effort, then productivity increases, but the difficulty of detecting and measuring unknown application components increases
Solution Approach 1:
The system replaces mechanical manual inspection with electronic traffic analysis. Instead of manually identifying application components, the management system automatically analyzes communication patterns and traffic flows to discover unknown components, substituting electronic automated detection for manual mechanical processes
Data Source
AI summary
Systems and methods for deploying agents for a management system across IT infrastructure in an automated fashion are disclosed herein. Embodiments of the present invention allow agents to be substantially automatically deployed or configured in conjunction with previously unknown or newly added application components. More specifically, embodiments of the present invention may track traffic associated with application components to identify unknown application components. Agents may then be deployed to monitor these newly identified application components.