Staging Environment Deletion Deadline Determination
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Solution Overview
Problem
The manual deletion of staging environments in cloud computing after application testing is inefficient, leading to increased resource usage and economic inefficiency due to inconsistent deletion schedules, which can result in deletion omissions or delays.
Innovation Solution
An information processing device and method that automatically determine the deletion deadline for staging environments based on predetermined conditions related to the application's production environment, including use situation and characteristics, ensuring timely and appropriate deletion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual deletion of staging environments is performed, then flexibility in deletion timing can be achieved, but schedule management becomes complicated and deletion omissions or delays may occur
Solution Approach 1:
The system automatically determines deletion deadlines for staging environments based on application characteristics and usage patterns, eliminating the need for manual schedule management. The system serves itself by autonomously identifying when staging environments should be deleted, thus resolving the contradiction between flexibility and management complexity.
Solution Approach 2:
The system uses parameters such as application importance, allowable recovery time, and estimated user numbers to dynamically determine deletion deadlines. By changing these parameters based on application characteristics, the system achieves flexible timing without manual intervention, resolving the technical contradiction.
2Device complexity
If uniform period deletion is applied to all staging environments, then management simplicity is achieved, but economic efficiency decreases due to inappropriate deletion timing for different applications
Solution Approach 1:
The system applies different deletion deadline determination methods to different applications based on their specific characteristics. High-importance applications with strict recovery requirements receive different treatment compared to low-importance applications, achieving both management simplicity and economic efficiency through localized quality adjustment.
Solution Approach 2:
The system changes deletion timing parameters based on application-specific parameters such as importance level, allowable recovery time, and user estimates. This parameter-based approach maintains management simplicity while optimizing economic efficiency for each application type.
3Loss of energy
If staging environments are deleted promptly to reduce resource usage, then economic efficiency improves, but the risk of deleting needed backup environments increases
Solution Approach 1:
The system uses parameters such as allowable recovery time and application importance to determine optimal deletion deadlines that balance resource efficiency and backup reliability. By changing these parameters based on application characteristics, the system achieves both economical resource usage and reliable backup maintenance.
Solution Approach 2:
The system performs preliminary assessment of application characteristics and usage patterns before determining deletion deadlines. This preliminary action ensures that staging environments are deleted at the appropriate time, maintaining both resource efficiency and backup reliability by considering recovery requirements in advance.
4Productivity
If deletion deadlines are set based on application characteristics, then appropriate deletion timing is achieved, but the system complexity increases
Solution Approach 1:
The system determines deletion deadlines by changing parameters based on application characteristics such as importance, allowable recovery time, and estimated user numbers. This parameter-based approach achieves appropriate deletion timing while keeping system complexity manageable through standardized parameter processing.
Solution Approach 2:
The system uses feedback from application usage data and characteristics to automatically adjust deletion deadlines. This feedback mechanism achieves appropriate timing without increasing system complexity, as the system learns from observed patterns and autonomously optimizes deletion timing.
Data Source
AI summary
An information processing device includes a processor. The processor is configured to decide a deletion deadline of a second environment based on a predetermined condition relating to an application having a first environment that is a production environment and the second environment that is a staging environment, and delete the second environment when the decided deletion deadline arrives.