This article examines the principles of microservice decomposition and composition, analyzes the risks of improper service splitting such as communication overhead, dependency loops, and chaotic call chains, and offers concrete governance strategies to achieve a balanced, maintainable architecture.
This article presents a comprehensive approach to building an Android code impact analysis tool that leverages Git diff to locate modified lines, employs ASM-based class and method visitors to construct upward and downward call chains, extracts Javadoc and custom tags, and visualizes the results for developers and testers.
The article introduces SGM, a comprehensive service governance and monitoring solution that addresses scaling, dependency complexity, and operational challenges by providing automated topology, real‑time tracing, capacity planning, root‑cause analysis, and extensive monitoring features such as performance metrics, JVM stats, call‑chain visualization, business dashboards, and intelligent alerting.
