Converged Infrastructure Configuration Automation
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Solution Overview
Problem
The challenge lies in efficiently configuring and validating converged infrastructure components, as existing methods require multiple customer interactions, lead to inconsistent quality analysis, and often reveal errors only after configuration has begun, increasing time and expenses.
Innovation Solution
A system and method involving a survey tool to collect and validate configuration parameters, followed by an automation tool generating scripts for configuring converged infrastructure components based on customer specifications, ensuring high-quality and consistent configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual quality analysis is performed on configuration information, then flexibility in handling diverse customer requirements is maintained, but consistency and reliability of the analysis deteriorate
Solution Approach 1:
The system enables self-service through automated validation rules and quality checks that operate without human intervention. The configuration information is automatically validated against predefined rules, ensuring consistent quality analysis while maintaining adaptability through configurable validation parameters that can be adjusted for different customer requirements.
Solution Approach 2:
The system changes parameters by transitioning from manual analysis to automated validation using configurable rules. The validation rules can be modified to accommodate different customer requirements, providing both consistency through automation and adaptability through parameter configuration.
2Loss of time
If configuration validation is performed early in the process, then errors are detected sooner reducing rework, but the complexity of the validation process increases
Solution Approach 1:
The validation process is segmented into multiple independent validation rules that can be executed separately. Each rule validates a specific aspect of the configuration information, making the overall complex validation process manageable through modular, discrete validation steps that can be performed early without overwhelming complexity.
Solution Approach 2:
Preliminary validation actions are performed on configuration information before full configuration begins. The system executes validation rules upfront to detect errors early, preventing downstream rework while managing complexity through staged validation that prepares the data for subsequent configuration steps.
3Loss of information
If multiple exchanges with the customer are conducted to gather configuration information, then completeness of information is improved, but the time and resources required increase
Solution Approach 1:
The system performs preliminary validation of configuration information as it is being collected, rather than waiting for multiple customer exchanges. This early validation identifies missing or incomplete information immediately, allowing for efficient information gathering in a single interaction while ensuring completeness through automated checks.
Solution Approach 2:
The system provides immediate feedback on the completeness and quality of configuration information through automated validation. This feedback mechanism allows the customer to provide complete information in a single exchange, as the system promptly identifies and requests corrections for any deficiencies, eliminating the need for multiple back-and-forth interactions.
Data Source
AI summary
Implementations described and claimed herein provide systems and methods for configuring one or more components of a converged infrastructure for a customer. In one implementation, a survey including configuration parameters for the one or more components of the converged infrastructure is received. The configuration parameters are collected in the survey using a survey tool accessible with a user device over a network. The configuration parameters are based on input from the customer including customer specifications for the converged infrastructure. The configuration parameters are validated, and at least one script for the one or more components is generated. The script includes instructions for configuring the one or more components based on the validated configuration parameters.