On-Demand Cloud Service Deployment Orchestrator
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Solution Overview
Problem
In cloud-computing environments, deploying and maintaining unused services wastes resources, and users lack control over the services deployed to their region, leading to inefficient resource utilization and user frustration.
Innovation Solution
Implementing a cloud infrastructure orchestration service that allows users to request and deploy specific services at runtime, using a user interface to bootstrap and deploy services on demand, and manage service dependencies through a directed acyclic graph, enabling dynamic provisioning and deployment of infrastructure components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a predefined set of cloud services is deployed to a region, then services are available for users, but resources are wasted when services are not utilized
Solution Approach 1:
The system transitions from static predefined service deployment to dynamic on-demand service provisioning. Services are deployed only when requested by users through the user interface, and the routing table is dynamically updated to include new service identifiers. This allows the cloud environment to adapt its service catalog based on actual user needs rather than maintaining a fixed set of always-available services.
Solution Approach 2:
Users can directly request and deploy services through the user interface without requiring manual configuration by system administrators. The self-service mechanism includes users initiating service deployment requests, providing service identifiers, and receiving automated routing table updates and service activation. This eliminates the need for centralized service provisioning and reduces resource waste by deploying only what users actually need.
2Reliability
If services are deployed manually in advance, then services are ready for use, but users have no control over which services are deployed
Solution Approach 1:
The system enables users to autonomously deploy services by providing a user interface where users can request specific services. The routing table is automatically updated with the requested service identifier, and the service is activated without requiring manual intervention from system administrators. This gives users full control over service deployment while maintaining service readiness.
Solution Approach 2:
The system provides feedback to users about service deployment status through the user interface. When a user requests a service, the system can confirm the service identifier has been added to the routing table and is now available. This feedback mechanism ensures users have control over the deployment process while maintaining reliable service availability.
3Device complexity
If an error code is returned for un-deployed services, then the system maintains simplicity, but user experience is degraded
Solution Approach 1:
Instead of returning error codes when users request un-deployed services, the system provides a user-friendly interface where users can initiate service deployment requests. The system automatically handles the deployment process by updating the routing table and activating the service, eliminating the need for users to deal with complex error handling while maintaining simple system operation.
Solution Approach 2:
The user interface acts as an intermediary between users and the service deployment mechanism. Rather than directly exposing the routing table and service activation logic to users (which would create complexity), the interface provides a simplified way for users to request services while the system handles the underlying complexity of routing table updates and service provisioning automatically.
4Speed
If services are deployed proactively, then services are available when needed, but unnecessary services consume resources
Solution Approach 1:
The system dynamically adjusts its service catalog based on actual user requests rather than maintaining a static proactive deployment list. When a user requests a service, the system quickly adds the service identifier to the routing table and activates the service, ensuring rapid availability. This dynamic approach ensures services are deployed only when needed, preventing resource consumption on unnecessary services while maintaining fast service activation speed.
Data Source
AI summary
Techniques are disclosed for deploying a computing resource (e.g., a service) in response to user input. A computer-implemented method can include operations of identifying a first set of computing components already deployed within the cloud-computing environment and identifying a second set of computing components available for deployment within the cloud-computing environment. A request for deployment may be subsequently received for one of the available computing components. A bootstrap request corresponding to the particular computing component requested may be transmitted to a deployment orchestrator, the deployment orchestrator being configured to deploy the particular computing component to the cloud-computing environment based at least in part on the bootstrap request. A user interface may present status indicators for each computing component (e.g., deployed, available, requested, etc.).