Template-Based Configuration Architecture for Enterprise Software
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Solution Overview
Problem
Current enterprise software configuration methods are time-consuming, error-prone, and require sophisticated knowledge, with redundant system-dependent information distribution, making it difficult to adjust configurations and move them between systems, leading to inconsistent cluster node configurations.
Innovation Solution
A template-based configuration architecture that separates configuration levels, allowing for dynamic, system-independent changes and automatic adaptation to environment changes, using a three-level structure: default configuration, configuration templates, and system configuration, with parameterized and computed settings to ensure consistency across instances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual configuration is used for each AS instance, then configuration can be customized, but the process is time-consuming and error-prone
Solution Approach 1:
The configuration is segmented into three distinct levels: default configuration level (system-independent settings), configuration template level (reusable patterns), and system configuration level (instance-specific settings). This segmentation allows automatic inheritance of common settings while enabling customization only where needed, dramatically reducing configuration time and errors.
Solution Approach 2:
Configuration templates are prepared in advance with pre-defined settings and patterns. These templates contain pre-configured parameters and relationships that can be automatically applied to multiple AS instances, eliminating the need for manual configuration of each instance from scratch.
2Stability of the object's composition
If system-dependent information is statically configured, then configuration is fixed, but it cannot be adjusted when system settings change
Solution Approach 1:
The configuration system transitions from static to dynamic by introducing computed settings that are calculated at runtime based on current system state. Configuration templates can be parameterized with system-specific values, allowing the same template to adapt to different system environments automatically without manual reconfiguration.
Solution Approach 2:
Configuration parameters are made changeable through the template system, where parameters can be defined as expressions or references to system properties. When system settings change, the parameters automatically update, enabling dynamic adaptation while maintaining configuration structure and consistency.
3Productivity
If configuration is copied between systems, then deployment is fast, but system-specific settings become inconsistent
Solution Approach 1:
Configuration templates serve as reusable copies that can be applied across multiple AS instances and systems. Instead of copying complete instance configurations (which causes inconsistency), the template level captures the essential patterns and settings that can be safely replicated, while system-specific parameters are localized to prevent conflicts.
4Ease of manufacture
If default configuration is used for all instances, then setup is simple, but resource optimization is not achieved
Solution Approach 1:
The configuration system applies local quality by allowing different configuration strategies at different levels: default configurations provide simplicity at the system level, while configuration templates enable optimized settings at the instance level. This layered approach maintains ease of setup while achieving resource optimization through targeted customization.
Data Source
AI summary
A system and method are provided for template-based configuration architecture. Configuration information from a first level is inherited. Configuration templates are customized via the inherited configuration information based on usage at a second level. The customized configuration templates are applied to default instances at a third level.