architecture-analysis

An architectural dependency analysis identifies critical services and calculates the blast radius of changes using graph theory. This helps you understand service relationships, reduce the risk of introducing bugs, and improve overall maintainability.

You can use graph-based common-ancestors analysis to pinpoint shared dependencies in the service graph when multiple services fail. This quickly identifies the root cause by tracing the dependency tree to the common upstream service.

Yes, you can quantify architectural health by calculating structural metrics such as graph density, diameter, and coupling. These metrics highlight critical services and areas of high dependency, helping you measure and track architectural maintainability.

The best way to identify domain boundaries is to analyze service relationships and dependencies using graph theory. Domain discovery algorithms map the service graph to isolate logical modules and highlight critical services, clarifying the architectural structure.

You can visualize critical services by generating a service graph that highlights hot-services based on their dependency connections. This visual output identifies highly coupled components and potential architectural bottlenecks within the codebase.