Cloud MES Service Mesh for Multi-Tenant Data Security
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Solution Overview
Problem
Current cloud-based industrial solutions face challenges such as data accessibility across data centers, security issues, and data sharing limitations due to architectural limitations of existing cloud platform architectures.
Innovation Solution
A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing platform with a service mesh system that includes a service communicator and data packaging component to manage communication and data sharing between edge gateway devices and internal services, enabling secure and scalable data access and sharing across geographically distributed data centers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cloud-based multi-tenant SaaS architecture is implemented, then data accessibility across geographically distributed data centers is improved, but data security and sharing limitations are worsened due to architectural constraints
Solution Approach 1:
A service mesh is introduced as an intermediary layer between edge gateway devices and internal cloud services. The service mesh manages data communication, routing, and security policies, enabling secure data access across multi-tenant SaaS architecture without compromising security for accessibility
2Adaptability or versatility
If data is replicated across multiple data centers to improve accessibility, then data sharing capability is improved, but system complexity and data management overhead increase
Solution Approach 1:
The service mesh extracts data management and routing logic from individual applications and makes it a dedicated infrastructure layer. This separates data sharing capabilities from application complexity, enabling versatile data sharing across tenants and regions without increasing application-level system complexity
Data Source
AI summary
A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing platform offers a variety of industrial applications to end customers—including but not limited to MES, ERP, quality management, supply chain management, and customer relationship management (CRM)—and implements associated architectural features that address a number of issues relating to data sharing, security, scalability, and other concerns.