Event-Driven Management for Kubernetes Container Clusters
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Solution Overview
Problem
Managing multiple Kubernetes container clusters and components manually is inefficient, requiring significant manpower and time due to repetitive and time-consuming tasks, especially when the same component needs to be deployed across multiple clusters.
Innovation Solution
A method that monitors component sets and clusters for changes, generates events, and processes these events in an event queue to automatically manage target components and clusters, reducing manual intervention and increasing efficiency by determining the target components and clusters based on event information and performing corresponding operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual management mode is used for container clusters and components, then flexibility and control are maintained, but management efficiency is low and manpower consumption is high
Solution Approach 1:
The system implements self-service automation by automatically monitoring component set changes and cluster status, generating events, and executing operations without human intervention. The event queue and automated processing mechanisms enable the system to manage itself, reducing manual workload while maintaining control through configurable event handling rules
Solution Approach 2:
The patent replaces manual mechanical management operations with automated electronic monitoring and processing systems. Event-driven architecture substitutes human decision-making and execution with automated event generation, queue processing, and operation execution, significantly improving management efficiency
2Adaptability or versatility
If the same component is deployed in multiple clusters, then service coverage is expanded, but repetitive manual work increases and time consumption increases
Solution Approach 1:
The system creates a single component set that can be universally deployed across multiple clusters. By defining components with cluster-selection conditions, one component set serves multiple clusters simultaneously, eliminating the need for separate manual deployment operations in each cluster while maintaining broad service coverage
Solution Approach 2:
The system performs preliminary configuration by defining component sets with embedded cluster-selection conditions and deployment rules before actual deployment. This advance preparation enables automated event-driven deployment across multiple clusters without requiring repetitive manual configuration for each cluster
3Productivity
If automated event-driven management is implemented, then management efficiency is improved and manpower is reduced, but system complexity increases
Solution Approach 1:
The system segments the management process into distinct modular components: component set definition, event generation, event queue management, event processing, and operation execution. This segmentation allows each module to be independently managed and understood, reducing overall system complexity while enabling automated high-efficiency management
Data Source
AI summary
The present disclosure discloses a method for managing container clusters and components, an apparatus, a system and a computer-readable storage medium, wherein the method includes: monitoring component sets, and when a component set that has changed exists, obtaining component-set information and component-set-operation information of the component set that has changed, and adding the component-set information and the component-set-operation information as component-set events into an event queue; monitoring clusters, and when a cluster that has changed exists, obtaining cluster information and cluster-operation information of the cluster that has changed, and adding the cluster information and the cluster-operation information as cluster events into the event queue; and obtaining a current event in the event queue, and according to event information of the current event, operating a target component in a target cluster.