Cloud Region Build Orchestration for Automated Configuration Updates
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Solution Overview
Problem
Conventional methods for building cloud data centers require significant manual effort, leading to time-consuming and error-prone processes that hinder the ability of cloud service providers to scale computing resources efficiently and effectively.
Innovation Solution
A Cloud Infrastructure Orchestration Service (CIOS) automates the bootstrapping process by analyzing configuration files to identify dependencies, optimizing parallel processing, and utilizing a virtual bootstrap environment to reduce manual intervention and errors, thereby accelerating the data center build process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual methods are used to provision and configure infrastructure resources, then flexibility and control are maintained, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system employs self-service mechanisms where the region build process automatically provisions and configures infrastructure resources without manual intervention. The orchestration service detects modifications to region data and autonomously triggers configuration file updates and region build executions, eliminating human error and accelerating the process.
Solution Approach 2:
The system implements feedback loops where the orchestration service continuously monitors region data modifications and automatically responds by updating configuration files and triggering region builds. This closed-loop control ensures that changes are reliably propagated through the system without manual intervention, reducing both error rates and build times.
2Productivity
If manual updates are performed across multiple configuration files, then precise control over each file is maintained, but the effort and complexity increase significantly
Solution Approach 1:
The orchestration service performs multiple functions through a single unified system: it monitors region data, detects modifications, updates configuration files, and triggers region builds. This multi-functional approach consolidates what would otherwise require multiple separate manual processes into one automated service, increasing productivity while managing complexity centrally.
Solution Approach 2:
The orchestration service acts as an intermediary between region data and configuration files. Instead of directly managing multiple configuration files, the system uses the orchestration service as a mediator that automatically translates region data modifications into appropriate configuration updates, simplifying the overall system architecture.
3Adaptability or versatility
If the number of service teams and regions increases, then service coverage and scalability improve, but the effort to maintain region data drastically increases
Solution Approach 1:
The system enables self-service operation where the orchestration service automatically manages region data maintenance across multiple service teams and regions. When region data is modified, the system autonomously detects changes, updates configuration files, and triggers appropriate region builds without requiring manual intervention from service teams, thereby maintaining ease of operation despite increased scalability.
Data Source
AI summary
Techniques are described for performing an automated region build with real time region data. Region data including region identifiers and execution target identifiers for the region may be maintained. When a modification of the region data is detected (or new region data is detected), configuration files corresponding to bootstrapping resources (e.g., at the execution targets) within the region may be obtained. Operations are executed to cause the configuration files to be updated. This may include recompiling or otherwise injecting region data into the configuration files. A region build may be executed to bootstrap resources within the region using the updated configuration files.