Multi-tenant Microservice Provisioning via Entitlement Automation
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Solution Overview
Problem
Provisioning multi-tenant, microservice architecture-based integration services in a cloud computing environment is complex and inefficient, requiring multiple subscriptions and manual checks of user entitlements, leading to duplicate coding and maintenance overhead.
Innovation Solution
A provisioning application platform processor receives user requests, accesses user identifiers and entitlement values, and transmits these values to a platform resource manager to automatically create and manage microservices for integration services, streamlining the provisioning process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual provisioning processes are used for multi-tenant microservices, then flexibility in service configuration is improved, but provisioning time and operational complexity increase
Solution Approach 1:
The system performs preliminary actions by pre-defining service templates with configurable parameters and pre-establishing entitlement frameworks. When a provisioning request arrives, the system only needs to instantiate and configure specific parameters rather than creating services from scratch, significantly reducing provisioning time while maintaining configuration flexibility.
Solution Approach 2:
The system implements self-service provisioning where users can autonomously provision services by selecting from predefined templates and configuring parameters through self-service interfaces. The system automatically handles service creation, resource allocation, and entitlement assignment without manual intervention, reducing both provisioning time and operational complexity.
2Productivity
If automated provisioning is implemented, then provisioning speed is improved, but system complexity increases
Solution Approach 1:
The provisioning system is segmented into independent, loosely-coupled microservices including service catalog management, entitlement verification, resource provisioning, and billing components. Each segment handles a specific aspect of provisioning independently, which reduces overall system complexity while enabling high-speed automated operations through parallel processing.
Solution Approach 2:
The system implements universal provisioning templates and entitlement frameworks that can be reused across multiple service types and tenants. This multi-functionality reduces the need for custom provisioning logic for each service, thereby reducing system complexity while maintaining high provisioning speed through standardized automated processes.
3Adaptability or versatility
If multiple subscriptions are required for different service levels, then service differentiation is improved, but provisioning overhead increases
Solution Approach 1:
The system merges multiple service level configurations into unified service templates with parameterized entitlement levels. Instead of requiring separate subscriptions for different service levels, users select a single service template and configure the desired entitlement level through parameters, reducing provisioning overhead while maintaining service differentiation.
Solution Approach 2:
The system uses parameter changes to differentiate service levels within unified templates. By varying parameters such as resource quotas, performance SLAs, and feature access levels, the system can provide differentiated service levels without requiring separate provisioning processes, thereby reducing overhead while maintaining adaptability.
Data Source
AI summary
According to some embodiments, methods and systems may include a data storage device that contains user identifiers and associated entitlement values for a plurality of tenants of a cloud computing environment. A provisioning application platform processor may receive a user request for an integration service and access the data storage device. The provisioning application platform processor may then transmit at least one entitlement value to a platform resource manager processor to facilitate creation of a plurality of microservices resulting in implementation of the integration service for the user.