Automated Database Instance Build System Using Containerization
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Solution Overview
Problem
Developing, testing, and deploying database systems is complex due to configuration differences between instances, making deployment to cloud services difficult and prone to errors, which affects consistency and reproducibility.
Innovation Solution
A computer-implemented method and system that generates a user interface for selecting configuration information to build an application instance, assigns slave nodes, obtains build information from repositories, generates a container file and image, and executes the image to provide a container, enabling automated and consistent configuration of application instances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated build system is implemented, then deployment consistency and reproducibility are improved, but system complexity increases due to master-slave node architecture and containerization requirements
Solution Approach 1:
The build system is segmented into master nodes and slave nodes, where master nodes coordinate and manage builds, while slave nodes execute actual build operations. This segmentation distributes system complexity across multiple components while maintaining centralized control for consistency.
Solution Approach 2:
A containerization layer is introduced as an intermediary between the build system and the application instances. Containers standardize the runtime environment, ensuring consistent deployment across different slave nodes while isolating the complexity of environment management.
2Adaptability or versatility
If manual configuration is used for each database instance, then flexibility and adaptability are improved, but time consumption and error rates increase during deployment
Solution Approach 1:
Configuration templates and build scripts are prepared in advance during the build process. These pre-configured artifacts contain all necessary settings and parameters, allowing rapid deployment without manual configuration during the actual deployment phase.
Solution Approach 2:
The system uses configurable parameters and variables within build templates that can be adjusted for different database instances. This allows the same automated build process to adapt to different configurations by changing parameters rather than requiring complete manual reconfiguration.
3Manufacturing precision
If comprehensive build information is collected from repositories, then build accuracy and completeness are improved, but data retrieval time and processing overhead increase
Solution Approach 1:
Build information including command scripts, datasets, and application instance templates is retrieved and cached from repositories during the build phase. This pre-fetching and caching mechanism ensures all necessary data is available before deployment, improving accuracy while reducing retrieval time during actual deployment operations.
Data Source
AI summary
In some implementations, there is provided a method that includes generating a user interface to enable selection of configuration information and initiation of a build of an application instance; receiving, from the user interface, an indication to initiate the build of the application instance; assigning at least one slave node to build, based on the configuration information, the application instance; obtaining, from at least one repository, build information including at least one of a command script, a dataset, and an application instance template; generating, based on the build information, a container file; storing the container file; generating the container image and storing the container image; and executing the image to provide a container. Related systems and articles of manufacture are also disclosed.