Container Image Shared Layer Update Mechanism
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Solution Overview
Problem
Managing updates to images in container orchestration environments is complex and error-prone, especially when dealing with large numbers of images, as current methods require individual patching and updating of each image, leading to performance issues and resource consumption.
Innovation Solution
A computer system determines shared layers between images and updates these layers by detecting changes, using a new unique identifier for the updated layer, allowing the updated layer to be shared across images without individual patching, thus reducing errors and increasing performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If individual patching and updating of each image is performed, then updates can be applied to images, but the process becomes complex and error-prone when dealing with large numbers of images
Solution Approach 1:
The patent merges multiple individual image updates into a single bulk update operation by identifying common layers across multiple images. Instead of patching each image separately, the system combines images that share common layers and applies updates to the shared layers once, then propagates the update to all dependent images, reducing complexity and errors.
Solution Approach 2:
The patent creates a universal update mechanism that handles multiple image types and Linux versions through a single update process. The system identifies common layers across different image versions and applies a universal patch that works across all images sharing those layers, eliminating the need for separate update procedures for each image.
2Extent of automation
If scripts are used to handle patch requests for each image, then patching can be automated, but errors still occur and manual collection of image information is required
Solution Approach 1:
The patent implements feedback mechanisms where the system automatically tracks which images have been updated and which have not. The update process queries the system to determine current image states, and this feedback information is used to dynamically adjust the update plan, ensuring consistent application of patches across all images without manual intervention.
Solution Approach 2:
The system performs self-service by automatically collecting image information, identifying which images need updates, and executing the update process without requiring manual user input. The system queries itself to determine the current state of images and automatically generates the update plan, eliminating the need for users to manually track which images have been patched.
3Reliability
If patches are applied to images before creating containers, then security updates can be implemented, but resources such as time and bandwidth are consumed and performance is impacted
Solution Approach 1:
The patent applies patches to shared layers in advance before they are needed by containers. By updating the common layers beforehand and caching the updated versions, the system ensures that when containers are created, they can quickly reference the already-patched layers without experiencing delays during the container creation process.
Solution Approach 2:
The patent merges multiple patching operations into a single bulk update of shared layers. Instead of patching layers individually for each container, the system combines all patching operations into one unified process that updates the common layers once, then serves all containers from the updated layers, significantly reducing resource consumption and improving performance.
4Adaptability or versatility
If hundreds or thousands of images are maintained for pipeline workloads, then comprehensive coverage is achieved, but maintaining and updating these images becomes tedious and time-consuming
Solution Approach 1:
The patent merges the maintenance of hundreds or thousands of individual images into a single bulk operation by identifying and updating common layers. The system groups images that share common layers and applies updates to the shared layers once, automatically propagating the changes to all dependent images, reducing maintenance time from thousands of individual operations to a single unified process.
Solution Approach 2:
The patent creates a universal image maintenance system that handles diverse image types, Linux versions, and pipeline workloads through a single maintenance process. The system identifies commonalities across all images and applies universal updates that work across the entire image fleet, eliminating the need for separate maintenance procedures for each image.
Data Source
AI summary
A computer implemented method, apparatus, system, and computer program product manages updates to images. A computer system determines shared layers present between the images selected for update management. The images comprise executable code that are run to create containers. The computer system detects a change in a shared layer in the shared layers for an image in the images. The computer system updates the shared layer in the shared layers in a set of the images having the shared layer in response to detecting the change to the shared layer for the image. According to other illustrative embodiments, a computer system and a computer program product for managing updates to images are provided.