Datacenter Destruction Orchestration With Reverse Dependency Pipelines
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Solution Overview
Problem
Existing cloud platforms require platform-specific instructions for datacenter operations, necessitating expertise and limiting portability across different platforms, leading to resource wastage when datacenters are not efficiently destroyed after use.
Innovation Solution
A cloud platform-independent declarative specification is used to generate and destroy datacenters, allowing for platform-agnostic operations through a compiler that generates platform-specific instructions, and a hierarchical pipeline for reverse dependency-based destruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If platform-specific instructions are used for datacenter operations, then operations can be performed on specific cloud platforms, but portability across different platforms is limited and expertise is required
Solution Approach 1:
The patent introduces a cloud platform-independent declarative specification as an intermediary layer between the user and the cloud platform. This specification serves as a mediator that translates high-level, platform-agnostic intentions into platform-specific execution instructions, thereby achieving portability without requiring users to learn platform-specific complexities
Solution Approach 2:
The patent replaces the mechanical approach of directly writing platform-specific commands with a declarative specification model. Instead of mechanically scripting platform-dependent operations, users define desired states in a universal language, and the system automatically generates the necessary platform-specific actions, eliminating the need for manual platform expertise
2Loss of energy
If datacenters are not destroyed after use, then resources remain available, but resource wastage occurs when datacenters are left unused
Solution Approach 1:
The patent implements self-service through automated pipeline orchestration that detects when a datacenter should be destroyed based on declarative specifications. The system automatically manages the destruction process without requiring manual intervention, enabling efficient resource utilization while eliminating wastage from forgotten or unused datacenters
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors the actual state of datacenters against the declarative specifications and automatically triggers destruction pipelines when mismatches occur or when resources are no longer needed. This feedback loop ensures optimal resource utilization by promptly removing unused datacenters
3Productivity
If manual destruction of datacenters is performed, then resources can be reclaimed, but maintenance overhead increases and efficiency decreases
Solution Approach 1:
The patent performs preliminary action by pre-defining the complete destruction pipeline in the declarative specification before the datacenter is actually destroyed. The pipeline is prepared in advance with all necessary steps, dependencies, and parameters, so when destruction is needed, the system can execute the pre-planned sequence automatically without manual intervention or time-consuming decision-making
Solution Approach 2:
The patent replaces manual mechanical operations with automated pipeline orchestration. Instead of manually navigating cloud platforms, managing permissions, and coordinating resource destruction, the system uses automated pipelines that handle all destruction operations programmatically, dramatically reducing maintenance overhead and improving efficiency
4Reliability
If hierarchical pipeline is used for destruction, then dependencies are properly managed, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the destruction process into a hierarchical pipeline of discrete, manageable stages. Each stage handles a specific portion of the destruction process (e.g., stopping services, deleting storage, removing network configurations), making the complex dependency management broken down into simpler, more manageable segments that can be executed reliably
Solution Approach 2:
The patent creates a universal pipeline orchestration framework that can handle multiple types of datacenter resources and dependency scenarios through a single declarative specification model. The same pipeline mechanism works for different cloud platforms, resource types, and dependency configurations, reducing overall system complexity by providing a multi-functional solution rather than platform-specific approaches
Data Source
AI summary
A computing system, for example, a multi-tenant system configures a datacenter in a cloud platform using a cloud platform infrastructure language that is cloud platform independent. The system destroys the datacenter or a set of datacenter entities of the datacenter. The system determines dependencies between datacenter entities based on the declarative specification. The system generates an aggregate destroy pipeline comprising a hierarchy of pipelines. The system generates an aggregate destruction version map associating datacenter entities of the datacenter with versions of software artifacts, wherein a software artifact stores instructions for destroying resources of a datacenter entity. The system collects a set of software artifacts according to the aggregate destruction version map. The system executes the aggregate destroy pipeline in conjunction with the aggregate destruction version map to destroy the set of datacenter entities of the datacenter.