Cloud Service Blueprint Orchestration for Automated Lifecycle Management
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Solution Overview
Problem
Existing cloud service management systems require manual deployment and configuration of cloud services, which is inefficient and lacks automation for lifecycle management.
Innovation Solution
A cloud service manager that orchestrates application programming interfaces (APIs) to automate the lifecycle management of cloud services, allowing users to select, order, and manage cloud capabilities through a user interface, using service blueprints and recipes to instantiate and configure services without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual deployment and configuration is used for cloud services, then users can deploy services, but the process is inefficient and lacks automation
Solution Approach 1:
The system enables self-service automation through service blueprints that automatically orchestrate deployment, configuration, and lifecycle management of cloud services without requiring manual user intervention for each task
Solution Approach 2:
Service blueprints are prepared in advance with predefined deployment configurations, resource allocations, and management policies, allowing the system to execute automated actions immediately when services are instantiated without requiring real-time manual planning
2Ease of operation
If manual configuration is used for cloud services, then deployment can be performed, but it requires significant manual effort
Solution Approach 1:
Service blueprints serve as reusable templates that capture deployment configurations and management policies, allowing identical services to be instantiated quickly through template copying rather than manual reconfiguration for each deployment
3Adaptability or versatility
If traditional cloud service provisioning is used, then basic services can be provided, but scalability and flexibility are limited
Solution Approach 1:
The service blueprint framework provides a universal mechanism that handles multiple cloud service types and lifecycle management tasks through a single standardized approach, enabling the system to adapt to different service requirements without requiring separate manual management processes for each service type
Data Source
AI summary
A technique includes providing at least one service blueprint to orchestrate application programming interfaces to manage the lifecycle of at least one cloud service.