Cloud Infrastructure Optimization Workflow With AI Tool Selection

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Solution Overview

Problem

Current dashboards for infrastructure optimization are scattered, require significant technical knowledge and manual intervention, and lack automated onboarding and collaboration, leading to inefficient resource utilization and lengthy implementation processes.

Innovation Solution

A centralized cloud-based system dynamically generates and implements optimization tools, such as memory and CPU optimization APIs, to automatically allocate resources and release unused applications, services, or virtual server infrastructures, with a single click input and AI-driven tool selection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If scattered dashboards and manual optimization tools are used, then infrastructure optimization can be performed, but significant manual intervention and technical knowledge are required leading to lengthy implementation processes

Engineering Contradiction:
Improveoptimization implementation speedVSAvoidmanual intervention level
Core Design Contradiction:
ProductivityVSExtent of automation

Solution Approach 1:

The system enables self-service optimization by allowing the infrastructure platform to automatically identify optimization opportunities and implement them without requiring manual intervention from administrators. The automated onboarding process discovers and applies optimizations independently, eliminating the need for technical expertise and manual configuration.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary actions by proactively identifying optimization opportunities before they are manually addressed. The continuous monitoring and automated detection processes prepare optimization recommendations in advance, enabling rapid implementation when triggered without requiring manual analysis or configuration.

Inventive Principle:
Principle #10Preliminary action

2Loss of information

If multiple scattered dashboards and tools are used, then analytics and recommendations are available, but governance approvals and collaboration between stakeholders are cumbersome

Engineering Contradiction:
Improveoptimization analytics availabilityVSAvoidsystem structure
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The system merges multiple scattered dashboards and tools into a single unified platform that consolidates analytics, monitoring, and optimization functions. This integration eliminates the need for multiple separate systems and streamlines the governance approval process by providing a centralized interface for all stakeholders to access optimization information and actions.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The unified platform provides universal access to optimization analytics and tools for multiple stakeholders across different departments. The system serves various functions including monitoring, analysis, recommendation generation, and implementation tracking within a single system, eliminating the need for separate specialized tools for each function.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Productivity

If manual optimization implementation is performed, then control over optimization processes is maintained, but resource utilization efficiency is reduced due to time-consuming processes

Engineering Contradiction:
Improveresource utilization efficiencyVSAvoidimplementation time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system replaces manual mechanical processes with automated digital processes. Instead of requiring human administrators to manually configure and implement optimizations, the system uses automated scripts, APIs, and continuous monitoring mechanisms to perform optimization actions programmatically, significantly reducing implementation time and improving resource utilization efficiency.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12423159B2System and method for providing continuous optimization workflow
Publication Date: 2025.09.23 JPMORGAN CHASE BANK NA
  • US12423159B2 patent drawing
  • US12423159B2 patent drawing
  • US12423159B2 patent drawing

AI summary

A system and method for dynamically generating and implementing optimization solutions via a centralized cloud based system for increasing available resources of a cloud based infrastructure for deployment is disclosed. The method including acquiring, for at least one platform, resource utilization data, identifying a plurality of optimization tools based on the acquired resource utilization data, and selecting at least one optimization tool for implementation. The method further includes dynamically and automatically generating the at least one optimization tool in response to an input, and implementing the at least one optimization tool dynamically and automatically generated for the at least one application selected that is residing in the one or more platforms selected.