Cloud Management System Integrating Business and Technical Metrics
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Solution Overview
Problem
Current cloud management systems primarily focus on technical metrics, failing to provide business managers with the visibility and control needed to optimize cloud operations for cost, performance, and compliance, leading to inefficiencies and potential escalations in costs and performance issues.
Innovation Solution
A cloud management system that integrates both technical and business metrics, allowing for real-time monitoring and adaptive control of cloud resources, enabling businesses to make data-driven decisions to achieve operational efficiency, scalability, and compliance by leveraging global traffic shaping, resource allocation, and failover mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If cloud management systems focus only on technical metrics, then technical monitoring is simplified, but business managers lack visibility and control for optimizing cloud operations
Solution Approach 1:
The patent combines technical metrics and business metrics into a single unified cloud management system. The system integrates infrastructure monitoring (CPU, memory, storage) with business performance tracking (cost, utilization, compliance) to provide comprehensive visibility to both technical teams and business managers through a common interface and shared data model.
Solution Approach 2:
The cloud management system is designed to serve multiple user groups (technical teams, business managers, executives) with different information needs through a single multi-functional platform. It provides technical monitoring capabilities, business optimization insights, cost analysis, and compliance tracking all within one system that adapts to different user roles and requirements.
2Adaptability or versatility
If cloud resources are automatically scalable, then service flexibility is improved, but cost control becomes difficult leading to potential escalations
Solution Approach 1:
The system implements feedback mechanisms that continuously monitor cloud resource usage, costs, and performance metrics, then provide actionable insights to optimize resource allocation. The platform analyzes spending patterns, identifies inefficiencies, and recommends or automatically executes resource adjustments to maintain optimal cost-performance balance while preserving service flexibility.
Solution Approach 2:
The cloud management system dynamically adjusts resource allocation based on real-time conditions, business priorities, and cost constraints. It enables flexible scaling decisions by providing up-to-date information on resource utilization and cost impact, allowing the system to adapt resource levels dynamically rather than relying solely on automatic scaling algorithms.
3Reliability
If multiple cloud providers are used for redundancy and performance, then reliability is improved, but system complexity and management difficulty increase
Solution Approach 1:
The patent positions the cloud management system as an intermediary layer between multiple cloud providers and the organization's applications. This intermediary abstracts the complexity of managing multiple providers by providing unified monitoring, standardized interfaces, centralized control, and automated orchestration, allowing the organization to leverage multi-provider redundancy without directly managing the underlying complexity.
4Ease of operation
If cloud applications are maintained by external providers, then operational simplicity is improved, but security and compliance control are reduced
Solution Approach 1:
The cloud management system performs preliminary actions by continuously monitoring cloud environments, assessing security postures, and identifying compliance gaps before they become critical issues. It proactively detects potential security vulnerabilities, policy violations, and configuration errors, allowing organizations to address these issues before they impact security or compliance requirements.
Data Source
AI summary
Systems and methods for a cloud management system which utilizes both technical and business metrics to achieve operational efficiencies. The systems and methods can be used to provide an elastic infrastructure model for an emergency notifications system which delivers near infinite scale with guaranteed near 100% uptime. In an embodiment, a mass recipient emulator can be utilized for testing of the notifications system with actual phone call or message exchange.