Key Considerations for Building System Engineering Architecture: Design, Technology Selection, and Consensus

The article introduces the importance of focusing on product value when designing system engineering architecture, outlining how to make decisions based on value and addressing common implementation challenges.

It stresses a value‑first approach, explaining how MCube evaluates template cache status, loads templates, parses expressions, binds events, and renders views to present the final page.

Key architectural qualities such as scalability, maintainability, reliability, security, and high performance are highlighted, with a discussion on how to embed these attributes into the design process.

Two primary architectural patterns are examined: layered architecture (including MVC, hexagonal, and multi‑layer designs) and Domain‑Driven Design (DDD). The layered approach separates concerns into presentation, business, and data layers, while DDD centers on domain models to handle complex business logic.

The article then outlines a systematic technology selection process, covering business requirements, technical characteristics, community support, team skill set, cost‑benefit analysis, and risk assessment, illustrated with examples such as db4o, Fastjson, and HTTP request handling.

Exception management strategies are presented, recommending appropriate capture points, unified handling, and proper logging to ensure system stability and rapid issue identification.

Logging best practices include using a unified logging framework (e.g., SLF4J with Log4j2 or Logback), configuring formats, levels, and destinations, as well as regular maintenance and optional forwarding for monitoring.

Monitoring recommendations cover performance metrics, log aggregation, security monitoring, business KPIs, distributed tracing, and alerting mechanisms to quickly detect and respond to problems.

The article concludes by emphasizing the need for clear consensus and standards across teams to reduce duplication, errors, and miscommunication, ultimately improving development efficiency and product quality.