Cloud Deployment Configuration Engine for Multi-Platform Automation

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Solution Overview

Problem

Existing tools and frameworks face challenges in generating and maintaining cloud deployment configurations, lack flexibility for enterprise-specific needs, and do not provide automated application creation and deployment across multi-cloud providers, complicating the process for developers.

Innovation Solution

A system and method that includes a cloud deployment configuration generation engine to automate the generation of cloud deployment configurations, integrate with APIs for packaging, process pipeline inputs, and generate service mesh configurations, reducing human intervention and optimizing deployment across multiple cloud platforms.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If developers manually generate cloud deployment configurations, then customization for each application is possible, but the learning curve is steep and the process is time-consuming

Engineering Contradiction:
Improveease of generating cloud deployment configurationsVSAvoidtime required for configuration generation
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The system enables self-service by automatically generating cloud deployment configurations without requiring developer intervention. The configuration generation engine analyzes application code and autonomously produces deployment manifests, eliminating the need for developers to manually create configurations and reducing the learning curve.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary action by pre-defining configuration templates and best practices for cloud deployment. These templates are prepared in advance and automatically applied to applications, eliminating the need for developers to learn complex configuration syntax and reducing configuration generation time.

Inventive Principle:
Principle #10Preliminary action

2Adaptability or versatility

If existing tools are used for cloud deployment, then some automation is provided, but they lack flexibility for enterprise-specific standards and multi-cloud support

Engineering Contradiction:
Improveflexibility for enterprise-specific needsVSAvoidcomplexity of configuration management
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The configuration generation engine provides universality by supporting multiple cloud platforms (AWS, Azure, GCP, Kubernetes) and service types (containers, serverless, microservices) through a single unified system. Enterprise-specific standards are incorporated through configurable templates that can be customized without increasing operational complexity.

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

3Adaptability or versatility

If cloud deployment configurations are customized for each application, then specific needs are met, but maintenance and updates become complex

Engineering Contradiction:
Improvecustomization capabilityVSAvoidcomplexity of maintaining configurations
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system implements dynamics by making configuration templates adjustable and updatable without requiring system changes. Enterprise standards and best practices are encoded in configurable templates that can be modified centrally, and changes are automatically propagated to all applications using those templates, simplifying maintenance while preserving customization.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20250208843A1System and method for optimized generation of cloud deployment configurations for an application
Publication Date: 2025.06.26 COGNIZANT TECH SOLUTIONS INDIA PVT LTD
  • US20250208843A1 patent drawing
  • US20250208843A1 patent drawing
  • US20250208843A1 patent drawing

AI summary

System and Method for Optimized Generation of Cloud Deployment Configurations for an Application A system and method for optimized generation of cloud deployment configurations for an application is provided. The invention provides for receiving parameters associated with application deployment configuration generation and deployment of application on a target cloud platform. The parameters are processed for generating an application source code template. Cloud deployment configuration is generated based on generated application source code template. Package deployment associated with application deployment is automated by integrating with Application Programing Interfaces (API) for abstracting packaging applications to be deployed on target cloud platform. Pipeline inputs associated with target cloud platform are processed for determining cloud deployment configuration constraints associated with application source code. Service mesh configuration files are generated for deployment of application to target cloud platform by processing cloud deployment configuration constraints associated with application source code. A cloud deployment template is generated for deploying application associated with application source code to target cloud platform.