Critical Path Interface for Data Center Resource Bootstrapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional tools for building data centers in cloud infrastructure require significant manual effort, are time-consuming, error-prone, and do not scale well, leading to increased build times and resource waste.
Innovation Solution
A Cloud Infrastructure Orchestration Service (CIOS) that utilizes predefined configuration files to identify dependencies, optimize parallel processing, and manage bootstrapping operations, including the use of a virtual bootstrap environment (ViBE) to reduce manual input and resolve circular dependencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual bootstrapping operations are used for each service, then flexibility and control are maintained, but build time increases and productivity decreases
Solution Approach 1:
The system enables self-service automation where the bootstrapping process automatically identifies dependencies between services, determines execution order, and orchestrates resource provisioning without manual intervention. The orchestrator service autonomously manages the entire region build process from configuration file parsing to capability publishing.
Solution Approach 2:
The system performs preliminary analysis of service dependencies by parsing configuration files before actual bootstrapping begins. This advance planning identifies the critical path and establishes the execution sequence, allowing parallel processing of independent services to accelerate the build process.
2Reliability
If services are bootstrapped in dependency order, then reliability is improved, but build time increases due to sequential processing
Solution Approach 1:
The bootstrapping process is segmented into independent service units that can be processed in parallel. By breaking down the monolithic region build into discrete service tasks with defined dependencies, the system can execute independent services simultaneously while maintaining proper dependency ordering through the orchestrator.
Solution Approach 2:
The system dynamically adjusts the execution plan by identifying the critical path through dependency analysis. Services not on the critical path can proceed in parallel, and the orchestrator dynamically coordinates resource allocation and capability publishing to optimize both reliability and build time.
3Manufacturing precision
If comprehensive dependency tracking is implemented, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The orchestrator service acts as an intermediary between service configuration and execution. It maintains a centralized dependency graph that tracks relationships between services, resources, and capabilities, providing precise dependency resolution while shielding users from the underlying complexity through a simplified interface.
Solution Approach 2:
The system implements feedback mechanisms where the orchestrator continuously monitors service provisioning status, capability publishing, and dependency satisfaction. This feedback loop enables real-time adjustment of the execution plan and ensures precise dependency resolution throughout the bootstrapping process.
Data Source
AI summary
The present embodiments relate to determining a critical path that identifies an order for bootstrapping a subset of resources within a data center under build. A cloud infrastructure orchestration service (CIOS) can identify from configuration files associated with resources to be bootstrapped within the data set, a set of capabilities. The CIOS can identify a first set of capabilities on which publishing each respective capability depends. User input can be received identifying a selected flock. The CIOS can identify the unpublished capabilities on which capabilities corresponding to the selected flock depend. Those unpublished capabilities can be ranked and provided via a visualization to the user. The unpublished capabilities can be ranked according to identifying, for a respective unpublished capability, a set of capabilities that are capable of being published responsive to publishing the respective unpublished capability.