Cloud Region Build Orchestration for Service Dependency Bottlenecks
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Solution Overview
Problem
Conventional region building in cloud networks requires significant manual effort, is time-consuming, prone to errors, and does not scale well, limiting the ability of cloud service providers to grow computing resources in response to customer demands.
Innovation Solution
A Cloud Infrastructure Orchestration Service (CIOS) is used to automate and optimize the region build process by analyzing configuration files, identifying dependencies, and managing the order of service bootstrapping, utilizing a virtual bootstrap environment (ViBE) to reduce manual intervention and eliminate circular dependencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual bootstrapping operations are performed for each service, then service dependencies can be managed, but the build time and manual effort increase significantly
Solution Approach 1:
The system automatically manages service bootstrapping and dependencies without requiring manual intervention. The orchestration service self-configures the build process by analyzing configuration files, identifying dependencies, and executing bootstrapping operations in the correct sequence, eliminating the need for manual coordination while maintaining reliable dependency management
Solution Approach 2:
The system transforms the build process from a manual, sequential operation to an automated, parallel-capable process by changing the execution parameters. Configuration files define service parameters and dependencies, which the system uses to dynamically determine execution order and enable parallel bootstrapping of independent services, significantly reducing build time while preserving dependency constraints
2Reliability
If manual bootstrapping operations are performed for each service, then service dependencies can be managed, but the error risk increases
Solution Approach 1:
The orchestration service automatically detects and resolves dependency conflicts without manual intervention. By programmatically analyzing configuration files and executing a determined bootstrapping sequence, the system eliminates human errors such as incorrect dependency ordering, missed prerequisites, and configuration mistakes, while maintaining reliable service dependency management
Solution Approach 2:
The system implements automated feedback mechanisms where the orchestration service monitors the state of each service during bootstrapping and adjusts the execution plan accordingly. If a service fails or a dependency is not met, the system receives feedback and can retry or adjust the bootstrapping sequence, reducing error risk while maintaining dependency management integrity
3Adaptability or versatility
If more service teams and regions are added, then cloud service capacity increases, but the orchestration complexity increases
Solution Approach 1:
The system segments the orchestration complexity by isolating each service's configuration into separate configuration files with clearly defined dependency declarations. Each service team can independently manage their service's configuration without affecting others, allowing the system to scale to multiple service teams and regions. The orchestration service processes these segmented configurations independently and combines them into a coordinated execution plan, maintaining manageable complexity while increasing service capacity
Solution Approach 2:
The system implements a universal orchestration framework that handles diverse service types and configurations through a common interface and dependency resolution mechanism. The same orchestration service can manage multiple service teams' configurations across multiple regions using standardized configuration file formats and dependency declarations, reducing orchestration complexity while enabling scalable service capacity
4Productivity
If parallel bootstrapping is implemented, then build time is reduced, but dependency management complexity increases
Solution Approach 1:
The system dynamically determines the bootstrapping execution plan by analyzing service dependencies at runtime. The orchestration service reads configuration files, builds a dependency graph, and automatically identifies which services can be bootstrapped in parallel versus which must be sequential. This dynamic approach enables maximum parallelization while respecting dependency constraints, reducing build time without requiring manual dependency management complexity
Data Source
AI summary
Techniques disclosed herein pertain to region building for cloud networks and, particularly, for region building process improvements. The techniques include accessing first configuration instructions for building a physical region of a cloud service provider and executing the first configuration instructions. Executing the first configuration instructions causes a first graph that includes nodes to be traversed. A second graph for replacing the first graph can be selected from among candidate graphs. The candidate graphs are generated by reducing an execution time associated with a node of the nodes of the first graph. Second configuration instructions that include instructions for traversing the second graph are generated and executed. Executing the second configuration instructions causes a second graph that includes the nodes to be traversed.