Infrastructure Orchestration With Versioned Configuration Control
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Solution Overview
Problem
Traditional methods of managing infrastructure in data centers face challenges such as inconsistency, reliability, security, and inefficiency in deployment and configuration, leading to errors, downtime, and increased operational costs.
Innovation Solution
A computer-implemented method using software components like version control, hierarchical configuration, infrastructure orchestration, and metric management to automate and manage computing infrastructures, ensuring consistent, secure, and scalable deployment and monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration methods are used for managing infrastructure, then operational flexibility is maintained, but consistency and reliability deteriorate due to errors and configuration drift
Solution Approach 1:
The patent replaces manual mechanical configuration processes with automated software-based configuration management systems. The system uses configuration management software to automatically generate, distribute, and enforce consistent configuration settings across all infrastructure components, eliminating human error and configuration drift while maintaining operational flexibility through automated control.
Solution Approach 2:
The configuration management system implements self-service capabilities where the infrastructure automatically detects configuration drift, retrieves correct configuration settings from a centralized repository, and self-corrects deviations without manual intervention. This ensures continuous configuration consistency while reducing operational overhead.
2Productivity
If manual deployment processes are used, then control over deployment timing is maintained, but productivity and deployment speed deteriorate
Solution Approach 1:
The patent replaces manual deployment workflows with automated deployment systems that use software to orchestrate the entire deployment process. The system automatically provisions resources, installs software, configures settings, and validates deployments according to predefined templates and schedules, dramatically increasing deployment speed while managing complexity through automation.
Solution Approach 2:
The system performs preliminary actions by pre-defining deployment templates, resource allocations, and configuration settings before actual deployment needs occur. This allows rapid deployment execution when needed, as the complex preparation work has already been completed in advance through automated template-based planning.
3Reliability
If comprehensive security measures are implemented across all infrastructure components, then security is improved, but device complexity and management difficulty increase
Solution Approach 1:
The patent implements a centralized security management system that provides universal security policies and controls across all infrastructure components. The system uses a unified authentication mechanism, centralized key management, and standardized encryption protocols that can be applied consistently to diverse components, improving security while reducing management complexity through standardization.
Solution Approach 2:
The security system implements self-service capabilities where infrastructure components automatically authenticate themselves, manage their own security credentials, and enforce security policies without manual configuration. This includes automated certificate management, self-provisioning of security credentials, and automatic compliance checking, which strengthens security while simplifying management.
4Loss of time
If manual monitoring of performance metrics is performed, then resource utilization insights can be obtained, but time consumption and operational overhead increase
Solution Approach 1:
The patent replaces manual monitoring activities with automated monitoring systems that continuously collect, analyze, and report performance metrics across the infrastructure. The system uses software agents deployed on infrastructure components to automatically gather data on resource utilization, performance indicators, and system health, eliminating time-consuming manual monitoring while providing comprehensive real-time insights.
Solution Approach 2:
The monitoring system implements continuous automated monitoring that operates without interruption, constantly collecting and analyzing performance data. This provides uninterrupted visibility into infrastructure health and resource utilization, enabling proactive issue detection and resolution while eliminating the periodic interruptions associated with manual monitoring checks.
Data Source
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AI summary
A computer-implemented method for managing multiple computing infrastructures includes accessing a computer-readable medium with instructions to execute software components. These components include a version control system, hierarchical configuration module, infrastructure orchestration module, metric storing and aggregating modules, configuration module, applications packaging module, and assembling module. The software manages configuration files, enables branching and merging, provides access control, stores metrics, supports alerting, performs automated backups, and aggregates metrics from multiple instances. It also packages applications, defines dependencies, and deploys and configures computing components using templates. The method stores and manages configuration data in a centralized repository and monitors performance and resource utilization while implementing security measures.