Cloud Platform Gene Library for Automated Container Cluster Updates

The patent creates a standard cloud platform gene library that serves as a template or copy of the desired cloud platform configuration. This gene library contains standardized component definitions that can be replicated across ultra-large-scale container clusters, enabling automated updates without manually configuring each cluster individually. The copying approach resolves the contradiction by providing a scalable template that maintains consistency while dramatically reducing update complexity and time.

The patent utilizes parameter changes by modifying specific configuration parameters within the cloud platform gene library to enable automated updates. By changing key parameters such as component versions, resource allocations, and deployment configurations in the gene library, the system can automatically propagate these changes across the entire ultra-large-scale container cluster ecosystem, thereby improving update speed while maintaining controlled complexity through parameterized management.

The patent implements feedback mechanisms through the cloud platform gene library system, where update outcomes are monitored and fed back into the gene library for continuous improvement. The system tracks update success rates, system performance metrics, and stability indicators, using this feedback to refine automated update strategies. This feedback loop resolves the contradiction by enabling automated updates to proceed efficiently while maintaining system stability through continuous monitoring and adaptive adjustment based on actual performance data.

The patent applies beforehand cushioning by establishing a standardized gene library that pre-defines safe update configurations and parameters before actual updates are executed. The gene library contains pre-validated component definitions and deployment parameters that have been tested for stability. This preparatory cushioning mechanism ensures that automated updates proceed efficiently while maintaining system reliability, as updates follow pre-validated paths rather than ad-hoc configurations.

The patent segments the cloud platform configuration into modular components within the gene library, where each component (compute, storage, networking, etc.) can be independently defined and customized. This segmentation allows the system to maintain standardized deployment processes for consistency while enabling customers to selectively customize specific components according to their requirements. The modular structure resolves the contradiction by providing both standardized frameworks and flexible customization options at the component level.

The patent implements universality by designing the cloud platform gene library to serve multiple functions simultaneously. The same gene library framework supports both standardized deployments across different customers and customized configurations for specific requirements. The universal gene library structure can be adapted to various cloud platform types and customer needs while maintaining consistent deployment methodologies, thereby resolving the contradiction between deployment consistency and customization flexibility.