Readiness Analyzer for Virtualized Datacenter Deployment
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Solution Overview
Problem
Datacenter environments face challenges in deploying mission-critical systems in virtualized environments due to lack of required configurations, leading to delays and complexity during actual deployment, as administrators need to perform additional tasks for troubleshooting and fixing configuration and connectivity issues.
Innovation Solution
A readiness analyzer engine is introduced to determine the readiness of computing devices and networking switches by validating configuration data against predetermined requirements, performing connectivity tests, and generating reports to identify errors or warnings, thereby allowing for pre-deployment issue identification and resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If virtualization is implemented to scale up datacenter capacity, then service demand is met and size is reduced, but deployment complexity increases due to configuration requirements
Solution Approach 1:
The patent performs validation of configuration data and connectivity tests before actual deployment of the production system. The readiness analyzer engine validates computing device configurations, networking switch configurations, and performs connectivity tests in advance to identify and fix issues before deployment, thereby reducing deployment complexity while maintaining high productivity
2Loss of time
If deployment proceeds without pre-validation, then deployment speed is maintained, but additional troubleshooting time is required during deployment
Solution Approach 1:
The patent applies preliminary anti-action by proactively identifying and flagging configuration errors and connectivity issues before deployment occurs. The readiness analyzer engine compares configuration data against required configurations and performs connectivity tests to prevent deployment failures, thereby making deployment smoother without adding significant time
3Reliability
If configuration validation is performed thoroughly, then deployment reliability is improved, but validation time increases
Solution Approach 1:
The readiness analyzer engine automatically performs validation of configuration data against required configurations and executes connectivity tests without manual intervention. The system self-validates computing device configurations, networking switch configurations, and identifies issues autonomously, thereby maintaining high deployment reliability while minimizing validation time through automation
Data Source
AI summary
Example implementations relate to system and method of determining readiness of a datacenter environment for deploying a production system in a virtualized environment of the datacenter environment. The method includes receiving a parameter data of a device controller, and a first configuration data of computing devices from the device controller that manages deployment and configuration of the virtualization environment, and a second configuration data of networking switches. Further, the method includes validating the parameter data, and the first and second configuration data by comparing against a predetermined data required for deploying the production system. The method further includes performing connectivity test among the computing devices. Further, the method includes generating report having the parameter data, the first and second configuration data, results of the connectivity test, and one of an error information or a warning information based on results of validation, for deploying the production system by the device controller.