Resource Identifier Rotation for Prefab Region Caching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Building new cloud regions is a complex and time-consuming process involving significant manual coordination and is prone to errors, limiting a cloud service provider's ability to scale computing resources in response to customer needs.
Innovation Solution
Utilizing a prefab factory to automate the region build process, where physical resources are configured and tested before shipment to a destination site, and employing orchestration services to manage inventory, networking, and software deployment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If physical resources are configured and deployed at the final destination data center sites, then the region can be built with locally optimized resources, but significant preparation work at the data centers complicates the logistics and scheduling of completing the building of a region
Solution Approach 1:
The patent applies preliminary action by configuring and deploying resources in advance at a prefab factory before shipping to the destination data center. The region is built in a controlled factory environment with all necessary software, networking, and infrastructure components pre-installed, eliminating the need for complex on-site preparation work at the destination data center.
Solution Approach 2:
The patent introduces a prefab factory as an intermediary facility between resource provisioning and destination deployment. This intermediate location serves as a controlled environment for assembling and testing region components before final delivery, simplifying the logistical coordination between resource allocation and destination site readiness.
2Adaptability or versatility
If manual coordination is used to manage region building processes, then resource allocation can be customized for each region, but the process becomes time-consuming and error-prone
Solution Approach 1:
The patent implements self-service through automated orchestration services that manage resource provisioning, configuration, and deployment without manual intervention. The system automatically allocates resources, configures networking, deploys software artifacts, and validates region functionality, eliminating human errors while maintaining customization capabilities through programmable interfaces.
Solution Approach 2:
The patent uses parameter changes by allowing region specifications to be defined through configurable parameters and templates. The orchestration system accepts high-level region definitions and automatically translates them into detailed resource allocation decisions, maintaining adaptability while enabling rapid automated execution of the build process.
3Ease of operation
If resources are provisioned and software is deployed over network connections to data centers, then remote region building is enabled, but the process requires significant network bandwidth and time
Solution Approach 1:
The patent applies preliminary action by pre-deploying all software artifacts, infrastructure components, and configuration data to the prefab factory before region assembly. This allows the entire region to be built and validated locally without requiring extensive network transfers during the deployment phase, significantly reducing the time and bandwidth required for remote provisioning.
4Productivity
If a prefab factory is used to automate region building, then build time is reduced and scalability is enhanced, but new infrastructure facilities and coordination mechanisms are required
Solution Approach 1:
The patent applies universality by designing the prefab factory as a multi-functional facility that can simultaneously build multiple different region types using standardized processes and templates. The factory infrastructure is designed to handle various workloads and configurations through programmable orchestration, allowing a single facility to serve multiple purposes and reducing the need for specialized infrastructure for each region type.
Data Source
AI summary
Techniques are disclosed for rotating resource identifiers within a region network. An identities service can receive a first request for a first identifier of a software resource within the region network from a client node. The identities service can generate the first identifier based at least in part on first attributes and send the first identifier and a first caching instruction to the client node. The identities service can receive an identity rotation instruction that includes information usable by the identities service to provide a second caching instruction in response to requests for software resource identifiers. The identities service can receive a second request for a second identifier of the software resource. The identities service can generate the second identifier based at least in part on the second attributes and send the second identifier and the second caching instruction to the client node.