This article explains how backend developers can replace hard‑coded business logic with a dynamic rule engine built on Spring Boot and QLExpress, enabling rapid rule changes, reducing deployment risk, and empowering non‑technical staff to manage complex e‑commerce, finance, and marketing scenarios.
This article explains how separating business rules from code using a dynamic rule engine—implemented with QLExpress, Spring Boot, and a lightweight front‑end—enables rapid rule changes, reduces deployment risk, and empowers non‑technical staff to adjust pricing, risk, and marketing policies in real time.
This article explains how separating business rules from code using a dynamic rule engine—implemented with Spring Boot, QLExpress, and a simple HTML/Tailwind front‑end—enables rapid, low‑risk rule changes for e‑commerce, finance, and content platforms, illustrated with full code examples and real‑world scenarios.
This article introduces the lightweight Easy Rules Java rule engine, explains why traditional if‑else logic is problematic, demonstrates core concepts such as rule, condition, action, and facts, provides step‑by‑step code examples, showcases six practical use‑cases, and shows how to integrate it with Spring Boot and Maven.
This article explains what a rule engine is, contrasts it with workflow engines, outlines its benefits, reviews popular Java rule‑engine frameworks, and demonstrates a practical implementation for a second‑hand car buying process using JSON configuration, Spring‑SpEL, and modular Java actions.
This article explains the concepts of rule engines versus imperative programming, demonstrates rule‑engine implementation with EasyRules through code examples, discusses its business value and application in ZuanZuan Wallet, and analyzes the performance of EasyRules in rule evaluation and execution.
This article walks through the background, core concepts, installation steps, library definitions, rule set creation, decision table usage, and a real‑world promotion scenario for integrating the URule rule engine with a Spring Boot backend, providing code snippets and visual configuration tips.
The article explains how Drools, a business rule management system using the Rete algorithm, separates decision logic from code by generating DRL files from decision‑table data, enabling non‑technical users to manage collection‑system rules that assign overdue cases to queues, while noting current limitations and future upgrades.
This article explains what a rule engine is, why it is useful, common products, core concepts such as rule files, LHS/RHS, facts, and various modeling patterns, as well as management, execution modes, real‑world use cases and best‑practice recommendations for building scalable backend rule‑processing systems.
Effective, proactive, and continuous data maintenance is essential for outcome‑driven enterprise data strategies, as poor data quality can cost millions, and organizations must define business rules, shared services, SLAs, processes, KPIs, and ownership to keep critical data accurate and reliable.
This article walks through designing business rules for a mobile phone billing scenario, defining Java fact objects, implementing a Drools rule engine, writing DRL files, and testing the engine to demonstrate rule‑driven credit calculations.
