Automated Cloud Infrastructure Optimization Across Multiple Defense Lines

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Solution Overview

Problem

Existing infrastructure optimization tools only identify issues after the fact and provide a single point of failure, and cloud providers do not offer real-time pricing information, leading to inefficient and costly infrastructure management.

Innovation Solution

Implementing multiple lines of defense in software development lifecycles, including automated tools that receive on-premises infrastructure information, map it to cloud infrastructure, validate against organizational standards, generate infrastructure as code, perform code scans, identify deviations, and deploy services, while providing real-time cloud provider pricing and discounts.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If infrastructure optimization tools identify issues after the fact with a single check, then the tool complexity is low, but the reliability of infrastructure management deteriorates due to single point of failure

Engineering Contradiction:

Improveinfrastructure management reliabilityVSAvoidoptimization tool complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system divides infrastructure optimization into multiple independent validation layers: pre-migration validation, migration validation, and post-migration validation. Each layer operates autonomously with its own check mechanisms, eliminating the single point of failure while distributing complexity across manageable segments.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary validation checks before infrastructure migration begins, identifying potential issues in advance. This proactive approach prevents problems rather than reacting to them, improving reliability by catching errors early in the process before they propagate.

Inventive Principle:

Principle #10Preliminary action

2Loss of information

If cloud providers do not provide pricing information, then the information availability is limited, but the device complexity for cost management increases

Engineering Contradiction:

Improvepricing information availabilityVSAvoidcost management system complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The system introduces an intermediary cost estimation module that bridges the gap between cloud providers' limited pricing information and organizational cost management needs. This intermediary layer aggregates available pricing data, applies organizational-specific cost models, and generates comprehensive cost projections without requiring direct integration with every cloud provider's pricing system.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system creates simplified copies of cloud provider pricing structures tailored to organizational needs, rather than attempting to manage the full complexity of actual cloud pricing systems. These copied pricing models enable cost estimation and comparison while reducing the complexity of direct cloud provider system integration.

Inventive Principle:

Principle #26Copying

3Reliability

If multiple validation checks are implemented throughout the software development lifecycle, then the reliability of infrastructure deployment improves, but the productivity of the development process decreases

Engineering Contradiction:

Improveinfrastructure deployment reliabilityVSAvoidsoftware development productivity

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system implements validation checks at periodic intervals throughout the software development lifecycle rather than continuously. Validation occurs at key milestones: code commit, pull request creation, infrastructure deployment, and post-deployment. This periodic approach maintains reliability while minimizing interruptions to development flow.

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The system enables automated self-validation of infrastructure code through pull request workflows. The validation process operates autonomously, automatically detecting issues and providing remediation guidance without requiring manual intervention from developers, thus maintaining productivity while ensuring reliability.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20250328343A1Systems and methods for automatically optimizing computer infrastructure by implementing multiple lines of defense in software development lifecycles

Publication Date: 2025.10.23 JPMORGAN CHASE BANK NA

AI summary

Systems and methods for automatically optimizing computer infrastructure by implementing multiple lines of defense in software development lifecycles. A method may include: (1) receiving information for on-premises infrastructure and costs associated with the on-premises infrastructure; (2) mapping the on-premises infrastructure to a proposed cloud infrastructure; (3) generating, using an artificial intelligence engine, an architecture diagram of the cloud infrastructure; (4) validating the proposed cloud infrastructure against organizational standards; (5) generating infrastructure as code for the proposed cloud infrastructure; (6) performing a code scan on the infrastructure as code; (7) identifying deviations from the infrastructure as code from the code scan; (8) generating a pull request for code from a source code repository based on the deviations; (9) identifying services and components to be deployed in the infrastructure as code; and (10) deploying the services and components to a cloud environment.