Self-Managed Operator Dependencies for Selective Sub-Operator Deployment
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Solution Overview
Problem
Current operator lifecycle managers automatically deploy all sub-operators, even if some are not needed, leading to resource wastage and inefficient system performance.
Innovation Solution
Implementing self-managed operators with a management role that automatically selects and deploys only necessary sub-operators based on custom resource definitions, allowing main operators to manage their own dependencies during execution time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current operator lifecycle managers automatically deploy all sub-operators, then complete operator functionality is ensured, but resource wastage increases and system performance decreases
Solution Approach 1:
The patent extracts and removes unnecessary sub-operators from the deployment set. The operator lifecycle manager analyzes custom resource definitions to identify which sub-operators are actually required, and deploys only those specific sub-operators rather than all available sub-operators, thereby eliminating resource wastage while maintaining necessary functionality.
Solution Approach 2:
The patent applies local quality by making the operator deployment configuration specific to each custom resource definition. Instead of a uniform deployment of all sub-operators, the system tailors the deployment to match the actual needs defined in each custom resource, deploying different subsets of sub-operators based on local requirements.
2Reliability
If current operator lifecycle managers automatically deploy all sub-operators, then operator functionality is maintained, but system performance deteriorates
Solution Approach 1:
The patent extracts only the necessary sub-operators based on custom resource definition analysis, removing unnecessary components from the deployment. This extraction process maintains the required operator functionality while eliminating the performance burden of running unnecessary sub-operators.
Solution Approach 2:
The patent applies partial action by deploying only the specific subset of sub-operators that are actually needed, rather than deploying all sub-operators. This partial deployment approach avoids the excessive resource consumption and performance degradation caused by running the full set of sub-operators.
3Loss of energy
If manual operator management is implemented, then resource consumption is reduced, but installation and upgrade processes become more complex
Solution Approach 1:
The patent implements self-service by enabling the operator lifecycle manager to automatically analyze custom resource definitions and determine which sub-operators to deploy. This automated self-management eliminates the need for manual configuration while achieving resource-efficient selective deployment, resolving the complexity issue.
Solution Approach 2:
The patent applies preliminary action by having the operator lifecycle manager pre-analyze custom resource definitions to identify required sub-operators before deployment. This advance analysis automates the decision-making process, eliminating manual management complexity while achieving resource-efficient deployment.
Data Source
AI summary
Self-managed operators is provided. A set of sub-operators that a main operator depends on is selected from a plurality of predefined sub-operators based on an analysis of a new version of a custom resource definition in response to determining that a current version of the main operator does match a main operator version identified in the new version of the custom resource definition corresponding to the main operator based on the analysis of the custom resource definition. A sub-custom resource definition is generated for each respective sub-operator of the set of sub-operators that the main operator depends on based on the new version of the custom resource definition corresponding to the main operator. The set of sub-operators that the main operator depends on is launched automatically using the sub-custom resource definition of each respective sub-operator of the set of sub-operators.