Virtual Machine Configuration via Master-Minion Application Scanning
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Solution Overview
Problem
Manual configuration and compliance management of virtual machines (VMs) in cloud services is resource-intensive, time-consuming, error-prone, and difficult to scale, posing risks to security and compliance.
Innovation Solution
A system and method for efficiently configuring and managing VMs by scanning and monitoring VMs to determine the presence and compliance of master and minion applications, and automatically configuring or updating these applications to ensure proper operation and compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual configuration and compliance management of virtual machines is performed, then configuration accuracy and compliance can be ensured, but resource consumption increases, time required increases, and scalability deteriorates
Solution Approach 1:
The system enables automated self-service configuration of virtual machines through master-minion application architecture. The master application automatically discovers, configures, and manages minion applications across multiple VMs without human intervention, achieving both configuration accuracy and scalable automation simultaneously
Solution Approach 2:
The master application performs preliminary configuration actions by pre-defining configuration templates and policies before VM deployment. This allows automated enforcement of compliance rules and configuration standards across all VMs, ensuring accuracy while enabling rapid scaling through template-based replication
2Manufacturing precision
If manual configuration and compliance management of virtual machines is performed, then configuration accuracy can be ensured, but time consumption increases
Solution Approach 1:
The master-minion application architecture establishes continuous automated configuration and compliance monitoring actions. The master application continuously discovers VMs, applies configurations, and monitors compliance without interruption, maintaining high accuracy while dramatically reducing time consumption through parallel processing across multiple VMs simultaneously
3Productivity
If automated configuration of virtual machines is implemented, then productivity and scalability are improved, but configuration precision may deteriorate due to automation errors
Solution Approach 1:
The master application implements continuous feedback mechanisms by monitoring VM configuration status and compliance levels. When deviations or errors are detected, the system automatically triggers corrective actions, ensuring configuration precision is maintained even as scalability increases through automated operations
Solution Approach 2:
The system employs preliminary validation and verification steps before applying configurations. Configuration templates are pre-tested, and compliance rules are pre-defined to prevent errors before they occur, cushioning against potential automation mistakes while maintaining high scalability
Data Source
AI summary
Methods and apparatus to configure virtual machines (VMs) are disclosed. Am example system to manage a plurality of virtual machines of a shared computing resource, the system includes interface circuitry, programmable circuitry, and machine readable instructions to cause the programmable circuitry to at least one of scan or monitor the plurality of virtual machines, determine whether a master application corresponding to the virtual machines has accepted a minion application corresponding to a first one of the virtual machines, and in response to the determination that the master application has not accepted the minion application, cause the master application to accept the minion application.


