MockK is a Kotlin test double framework that creates mocks, spies, and relaxed mocks for unit testing, with support for final classes, static methods, and coroutines. It functions as a bytecode instrumentation library that modifies compiled class files at load time to intercept constructors, final methods, and static functions without source changes, and also provides dedicated libraries for constructor mocking and coroutine mocking. The framework is designed specifically for Kotlin, handling Kotlin-specific constructs like extension functions, singletons, and suspend functions. MockK disting
Matrix is a suite of mobile application performance management and analysis tools. It provides a plugin-based monitoring system for capturing crashes, lags, and memory leaks, alongside a static binary auditor for reducing installation package size and a bytecode instrumentation tool for performance tracking. The project distinguishes itself through native memory debugging and a SQLite query linter that identifies inefficient database patterns. It employs native interception techniques to detect memory leaks and heap corruption without requiring source code recompilation, and uses a custom run
基于JavaAgent的全链路监控一《嗨！JavaAgent》 - 基于JavaAgent的全链路监控二《通过字节码增加监控执行耗时》 - 基于JavaAgent的全链路监控三《ByteBuddy操作监控方法字节码》 - 基于JavaAgent的全链路监控四《JVM内存与GC信息》 - 基于JavaAgent的全链路监控五《ThreadLocal链路追踪》 - 基于JavaAgent的全链路监控六《开发应用级监控》
初识字节码编程是从使用非入侵的全链路监控开始，在这之前我所了解的如果需要监控系统的运行状况，通常需要硬编码埋点或者AOP的方式采集方法执行信息；耗时、异常、出入参等来监控一个系统的运行健康度。而这样的监控方式在大量的系统中去改造非常耗时且不好维护，更不要说去监控一个业务流程的调用链路。