Container Customization Framework for Independent Layer Rebuilds
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Solution Overview
Problem
Conventional containerization methods, such as those using Docker, require rebuilding multiple layers when a single layer is modified, leading to time-consuming and inefficient customization and maintenance processes.
Innovation Solution
A customizable containerization framework that deploys initial container images with startup, pre-service, and post-service scripts, allowing independent management and deployment of customization layers without affecting the build process of other layers, using initcontainers and persistent volume clients to manage configuration information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional Docker containerization is used with multiple customization layers, then container customization capability is achieved, but rebuilding time increases when modifying one layer
Solution Approach 1:
The patent divides the container build process into independent layers, each with its own Dockerfile and build context. This segmentation allows modifications to one layer without triggering rebuilds of other layers, directly resolving the time loss problem while maintaining customization capability.
Solution Approach 2:
The patent pre-builds and stores base images in a registry before customization layers are applied. This preliminary action allows the base image to be reused across multiple customization scenarios without rebuilding, reducing overall build time while preserving adaptability.
2Adaptability or versatility
If sequential layer building is used in containerization, then complete customization is achieved, but deployment efficiency decreases
Solution Approach 1:
The patent segments the container architecture into independent layers that can be built and deployed in parallel. Each layer maintains its own build context and can be customized independently, enabling parallel processing and improving deployment efficiency without sacrificing customization completeness.
Solution Approach 2:
The patent introduces a dimensional change by moving from sequential linear building to a layered dimensional structure where layers can be built, stored, and deployed in different orders and parallelism, transforming the build process into a more efficient multi-dimensional operation.
3Device complexity
If centralized container management is used, then coordination is simplified, but team autonomy and independent management are reduced
Solution Approach 1:
The patent segments management responsibilities by assigning each layer its own Dockerfile and build context, allowing individual teams to manage their specific layers independently. This segmentation reduces coordination complexity for each team while maintaining overall system coordination through layer composition.
Solution Approach 2:
The patent creates a universal layer composition mechanism that allows different teams to manage their own layers independently while still composing them into a complete container. This multi-functionality enables both team autonomy and system-wide coordination without centralized control.
Data Source
AI summary
Systems and methods for containerization are provided. Various embodiments provide containerization systems and methods deploying an initial container image associated with a startup script, a pre-service script and post-service script. This deployment includes executing the startup script associated with the initial container image, and the executing including copying configuration information for the initial container image into a volume and generating a marker file for the initial container image. The containerization systems and methods also deploying a main container image associated with a startup script. This deployment includes executing the startup script associated with the main container image and copying the configuration information from the volume to a local system. This deployment also includes executing the main container, including executing the pre-service script associated with the initial container image, configuring the main container, executing a main service, and executing the post-service script associated with the initial container image.