Cloud Region Bootstrapping With Resource Discovery Reuse
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Solution Overview
Problem
Conventional methods for building data centers require significant manual effort, are time-intensive, and do not scale well, relying heavily on manual coordination and being prone to errors, which limits the ability of cloud service providers to grow in response to increasing customer demands.
Innovation Solution
A Resource Identification Service (Resource Hunter) identifies existing resources within a cloud computing environment to be utilized for bootstrapping operations, and a Multi-Flock Orchestrator orchestrates the region build process, automating the bootstrapping of services using predefined configuration files and leveraging previously created resources to reduce duplication and manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual coordination is used for building data centers, then resource provisioning can be performed, but the process becomes time-intensive and does not scale well
Solution Approach 1:
The system enables self-service automation where the orchestration service automatically discovers existing resources, determines their reusability, and provisions them without manual intervention. The resource identification service autonomously queries resource registries and matches resources to service requirements, eliminating the need for manual coordination while maintaining accurate resource tracking and provisioning.
2Reliability
If resources are created anew for each service, then resource availability is ensured, but resource duplication increases and efficiency decreases
Solution Approach 1:
The system performs preliminary resource discovery and compatibility verification before service provisioning. The orchestration service queries the resource registry to identify pre-existing resources that meet service requirements, and only creates new resources when necessary. This advance planning prevents unnecessary resource duplication while ensuring appropriate resources are available for each service.
Solution Approach 2:
The system creates a universal resource registry that catalogs all available infrastructure resources with their attributes and capabilities. This registry enables multiple services to discover and share common resources, allowing a single resource to serve multiple functions and services, thereby reducing duplication while maintaining reliability.
3Productivity
If comprehensive resource tracking is implemented, then resource reusability increases, but system complexity increases
Solution Approach 1:
The system introduces a resource registry as an intermediary layer between infrastructure resources and services. This registry maintains standardized metadata about available resources, their attributes, and compatibility information. The orchestration service interacts with this simplified interface rather than directly managing complex resource relationships, reducing system complexity while enabling comprehensive resource tracking and reusability.
4Ease of operation
If automated orchestration is implemented, then manual effort is reduced, but implementation complexity increases
Solution Approach 1:
The automated orchestration system is segmented into distinct, independently deployable services: the resource identification service for discovering resources, the orchestration service for coordinating provisioning, and the resource registry for storing resource information. Each service has a specific, well-defined function, making the overall complex system manageable through modular design while still providing comprehensive automation.
Data Source
AI summary
Techniques are described for identifying resources within a region of a cloud computing environment that may be leveraged during a region build. A Multi-Flock Orchestrator (MFO) may be configured to obtain configuration files corresponding to services to be bootstrapped within the region during a region build process. MFO may determine an order by which the services are to be bootstrapped and transmits a first request in accordance with the order. Planning data may be received (e.g., indicating an intent to create a new resource). MFO may obtain (e.g., via a Resource Identification Service) an identifier corresponding to a previously created resource. MFO can modify the planning data with the identifier and transmits a second request comprising the modified planning data. Transmitting the second request can cause resource corresponding to the flock configuration file to be bootstrapped within the region using the resource corresponding to the identifier.