Cloud Platform System for Multi-Hybrid Cloud Integration
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Solution Overview
Problem
Existing cloud infrastructure struggles to ensure availability and extendibility of application services, particularly in multi/hybrid cloud environments, where complexity and heterogeneity hinder efficient development and operation.
Innovation Solution
A cloud platform system comprising a cloud integration unit for configuring multi/hybrid cloud infrastructure, a service management unit for account and resource management, an application orchestration unit for deployment and scaling, and a DevOps unit for monitoring and resource management, enabling automated deployment, scaling, and efficient operation across multiple cloud environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing cloud infrastructure is used, then basic cloud services are provided, but availability and extendibility of application services cannot be guaranteed
Solution Approach 1:
The system segments cloud infrastructure management into distinct functional units: cloud integration unit for multi-cloud connectivity, service management unit for resource allocation, application orchestration unit for deployment automation, and DevOps unit for continuous integration/deployment. This segmentation allows each unit to specialize in specific functions, improving both reliability through dedicated management and extendibility through modular architecture.
Solution Approach 2:
The cloud platform system is designed as a universal multi-functional platform that can manage multiple cloud infrastructures (public cloud, private cloud, hybrid cloud) simultaneously. The system provides universal service management capabilities including resource allocation, load balancing, and automated deployment that work across different cloud providers and environments, thereby ensuring both availability and extendibility.
2Adaptability or versatility
If multi/hybrid cloud is implemented, then service flexibility and capacity are improved, but complexity and heterogeneity increase
Solution Approach 1:
The cloud platform system acts as an intermediary layer between application services and multiple cloud infrastructures. It provides unified management interfaces and automated orchestration that abstract away the underlying complexity of multi/hybrid cloud environments. The service management unit and application orchestration unit serve as mediators that handle resource allocation and deployment automation, reducing the perceived complexity for users while maintaining service flexibility.
Solution Approach 2:
The system implements homogeneous management interfaces and standardized protocols across diverse cloud infrastructures. By providing unified service management capabilities and consistent deployment mechanisms across public cloud, private cloud, and hybrid cloud environments, the system presents a homogeneous interface to users despite the heterogeneity of underlying infrastructure, thereby improving service flexibility while managing complexity.
3Adaptability or versatility
If manual cloud construction and management is performed, then customization is possible, but development and operation efficiency is reduced
Solution Approach 1:
The system implements self-service capabilities through automated service management and orchestration. The service management unit automatically allocates and manages cloud accounts and user network resources, while the application orchestration unit automatically deploys applications based on container images and performs scaling operations. This automation maintains customization capability while dramatically improving development and operation efficiency by eliminating manual intervention.
Solution Approach 2:
The system performs preliminary actions through pre-configured service templates and automated deployment pipelines. The DevOps unit enables continuous integration and continuous deployment (CI/CD) that automatically builds, tests, and deploys applications. This preliminary automation of routine tasks allows customization to be maintained through configurable parameters while significantly improving productivity by eliminating repetitive manual operations.
Data Source
AI summary
A cloud platform system is configured to ensure the availability and extendibility of application services, enable multi/hybrid cloud integration management, and construct, operate, and manage an enterprise cloud enabling efficient development and operation.