Operator Introspection for Dynamic Operand Shape Determination

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Solution Overview

Problem

In container orchestration systems, determining the operand shape and additional resources required for custom resources is manual and error-prone, requiring users to have knowledge of the specific integration flow and additional resources needed.

Innovation Solution

A method that dynamically determines the operand shape and additional resources by analyzing the content of the resource file specified in the custom resource, eliminating the need for manual user input.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual determination of operand shape and additional resources is used, then users have control over resource specification, but the process becomes error-prone and requires specialized knowledge

Engineering Contradiction:

Improveaccuracy of resource specificationVSAvoidcomplexity of user input

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system performs self-service by automatically analyzing the integration flow definition to determine the operand shape and additional resources required. The operator controller introspects the resource file, analyzes the integration flow configuration, and autonomously determines the necessary resources without requiring manual user input or specialized knowledge from the user.

Inventive Principle:

Principle #25Self-service

2Productivity

If manual specification of additional resources is required, then users can customize resource allocation, but the process time increases and user experience deteriorates

Engineering Contradiction:

Improvespeed of deploymentVSAvoidtime for resource configuration

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary action by automatically determining the operand shape and additional resources during the resource file analysis phase, before the actual deployment begins. The operator controller analyzes the integration flow definition in advance and pre-determines all necessary resources, eliminating the need for time-consuming manual configuration during deployment.

Inventive Principle:

Principle #10Preliminary action

3Adaptability or versatility

If the API has a limited set of functions, then the system remains simple and manageable, but it cannot support complex integration flows

Engineering Contradiction:

Improvecapability to handle complex integrationsVSAvoidcomplexity of the orchestration system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system applies segmentation by separating the core Kubernetes API functions from the operator-specific functionality. The operator controller handles complex integration flow analysis and resource determination as a distinct layer that extends the base API, allowing complex capabilities to be added without complicating the fundamental API structure.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The operator controller acts as an intermediary between the limited Kubernetes API and the complex integration requirements. It translates high-level integration flow definitions into specific resource configurations, mediating between the simple base API and the complex deployment needs without requiring the API itself to become complex.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250045121A1Determining operand shape based on introspection of remote resources

Publication Date: 2025.02.06 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

A method, system, and computer program product are configured to: receive a custom resource of an operator in a container orchestration system; retrieve a resource file specified in the custom resource; analyze remote resources in the resource file; determine additional resources based on the analyzing the remote resources; and deploy an operand of the custom resource, the operand including the remote resources and the additional resources.