Infrastructure Analytic Engine Automates Cloud Migration Inventory

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Solution Overview

Problem

Cloud datacenter migration is a time-consuming and costly process that often results in downtime and delays due to the complexity of repetitive tasks across various infrastructure systems, especially in distributed work environments where remote teams require secure and scalable access to data and services.

Innovation Solution

A comprehensive infrastructure analytic engine automates tasks such as data capture, analysis, lifecycle management, cost optimization, and data migration, using AI-driven data collection and disk mapping to streamline processes, reduce human error, and optimize cloud resource utilization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual inventory management and datacenter migration tasks are performed, then accuracy and control are maintained, but time consumption and cost increase significantly

Engineering Contradiction:

Improvemigration speedVSAvoidtime for data capture and analysis

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs self-service by automatically discovering infrastructure devices, collecting configuration data, and generating migration plans without requiring manual intervention. The analytic engine autonomously processes data from multiple sources, validates findings, and produces actionable recommendations, eliminating the need for manual inventory management while maintaining high accuracy.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual mechanical processes of data collection, analysis, and migration planning are replaced with automated computer-based systems. The analytic engine uses scripts to automatically survey infrastructure devices, parse log files, and generate migration scenarios, substituting human operators with automated computational processes that work continuously without interruption.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If comprehensive data collection and analysis is performed, then migration accuracy is improved, but complexity of the process increases

Engineering Contradiction:

Improvedata accuracyVSAvoidcomplexity of migration process

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The complex migration process is segmented into distinct manageable phases: data collection, data analysis, validation, and migration planning. Each phase is handled by specialized modules within the analytic engine, making the overall complex process manageable and systematic. The segmentation allows for modular processing of infrastructure data from multiple sources.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The analytic engine acts as an intermediary layer between the complex infrastructure systems and the migration process. It collects data from various infrastructure components, processes and validates this information, and then presents simplified migration recommendations. This intermediary function abstracts away the underlying complexity while maintaining data accuracy.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If cloud scalability is implemented, then resource availability increases, but cost of deployment and migration increases

Engineering Contradiction:

Improvecloud scalabilityVSAvoidmigration cost

Core Design Contradiction:

Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The system performs preliminary actions by automatically discovering all infrastructure devices, collecting their configuration data, and analyzing migration requirements before the actual migration begins. This upfront analysis identifies optimization opportunities and potential issues, allowing for cost-effective migration planning that avoids unnecessary expenses during execution.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The analytic engine changes parameters such as data collection methods, analysis depth, and validation criteria to optimize the balance between migration accuracy and cost. It can adjust the scope and depth of automated discovery and analysis based on the specific migration scenario, providing cost-effective solutions for different scalability requirements.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20210264349A1System and Method for Automatic Infrastructure Inventory Management

Publication Date: 2021.08.26 ZENFRA INC

AI summary

An automated infrastructure inventory management method includes executing a script configured to collect information about at least one component of an infrastructure and generating a log file describing the at least one components, receiving a custom file specifying application and static information at least one additional component in the infrastructure, automatically discovering relationships between the infrastructure components, automatically generating a discovery report describing the infrastructure components, automatically generating a remediation report of the infrastructure components, automatically generating end-to-end reports of the infrastructure components, and automatically generating a health report of the infrastructure components.