Data Defined Infrastructure Automation Engine
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge lies in efficiently managing and provisioning complex cloud architectures, particularly in establishing, configuring, and maintaining computing assets with increased resources, which requires advanced technical solutions for automating and orchestrating virtual environments across disparate cloud services.
Innovation Solution
A data-defined infrastructure (DDI) tool is introduced, comprising an environment configuration database, orchestration engine, and automation engine, which uses a wrapping workflow to automatically build and manage virtual components by recognizing operational goals and orchestrating relationships between applications, data, and infrastructure within cloud systems, thereby reducing human error and enhancing repeatability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration and provisioning of cloud computing assets is performed, then flexibility and adaptability are maintained, but complexity increases and error rates rise
Solution Approach 1:
The patent replaces manual mechanical configuration processes with automated software-based provisioning systems. The system uses configuration templates, automation engines, and workflow orchestration to automatically provision, configure, and manage cloud computing assets, eliminating manual errors while managing complexity through structured automation frameworks.
Solution Approach 2:
The system enables self-service provisioning where users can define their computing needs through high-level abstractions, and the automated system handles the complex underlying configuration. The workflow engine automatically executes provisioning tasks, assigns resources, and manages dependencies without requiring manual intervention in complex configuration details.
2Quantity of substance
If extensive deployment of computing assets is performed, then resource capacity increases, but difficulty in establishing and maintaining assets increases
Solution Approach 1:
The patent segments the complex asset management function into distinct modular components: configuration templates for asset definitions, workflow engines for provisioning logic, orchestration systems for coordination, and monitoring tools for maintenance. This segmentation allows the system to manage large quantities of computing assets through automated, modular processes rather than manual operations.
Solution Approach 2:
Manual asset management operations are replaced with automated workflows and orchestration systems that can provision and maintain extensive computing assets at scale. The system uses programmable automation to handle the complexity of managing large deployments, replacing manual administrative tasks with automated software-based control.
3Manufacturing precision
If automated workflow is implemented to build virtual environment, then repeatability improves, but system complexity increases
Solution Approach 1:
The patent employs configuration templates and predefined workflows that encapsulate proven provisioning patterns. These pre-configured templates store best practices and common deployment patterns, allowing complex virtual environments to be built repeatedly through template instantiation rather than manual reconfiguration, achieving repeatability without requiring complex ad-hoc provisioning logic each time.
Solution Approach 2:
The system uses universal configuration templates and standardized workflow patterns that can be applied across different virtual environment types. A single template framework can provision various computing asset configurations, and the same orchestration engine manages diverse deployment scenarios, reducing overall system complexity through generalization while maintaining deployment repeatability.
Data Source
AI summary
A system for managing the operation of different components within a cloud system to accomplish various tasks, including the implementation of build features within the cloud system to achieve specific operational goals. The system may include a data defined infrastructure (DDI) tool installed within a data defined infrastructure (DDI) to manage certain features or tasks within the cloud system. The DDI may include an environment configuration database (ECDB), an orchestration engine, an automation engine, and/or other hardware and software components within the cloud system, such that the DDI tool installed on the DDI infrastructure may control operation of the ECDB, the orchestration engine, the automation engine, or other hardware and software components within the cloud system based on a set of data that fully describes the operational goal.