SystemTap provides Linux developers and administrators a powerful, low‑overhead dynamic tracing solution that lets you monitor kernel and user‑space events, pinpoint performance bottlenecks, debug crashes, and build custom monitoring without rebooting or recompiling, making invisible system issues visible and solvable.
This tutorial shows how to use an eBPF program with the PERF_EVENT type to trace kernel activity, collect samples via performance counters, and pinpoint which processes and functions consume the most execution time, covering dynamic tracing concepts and overflow handling.
This article explains how Java objects store attributes and shared behavior, describes the JVM method area where method bytecode resides, and demonstrates runtime bytecode manipulation using java.lang.instrument.Instrumentation, BTrace scripts, and the Arthas diagnostic tool to solve real‑world debugging problems.
The article examines common functional testing pain points—such as vague impact assessment, high regression cost, and poor test‑dev collaboration—and proposes a data‑driven solution that builds a code‑to‑test‑case mapping using dynamic call chains, static analysis, and coverage snapshots to enable precise test case recommendation and incremental coverage reporting.
Using lightweight dynamic‑tracing tools that record allocator calls and page‑fault events, the authors diagnose a production MySQL‑proxy memory leak in TDSQL, generate focused flame‑graphs with custom memstacks and pgfaultstacks, and demonstrate a fast, source‑independent alternative to gdb or Valgrind.
This article explains how Java objects store behavior in the method area, introduces the java.lang.instrument.Instrumentation API for redefining classes at runtime, and demonstrates practical dynamic tracing techniques using BTrace and Arthas, complete with code examples and architectural insights.
This article explains how Java object behavior is stored in the JVM method area, how to use java.lang.instrument.Instrumentation, direct bytecode manipulation, BTrace, and Arthas to modify methods at runtime without changing object state, and provides practical code examples and tool architectures.
This article explores how Java's method area stores object behavior, how the java.lang.instrument.Instrumentation API enables runtime class redefinition, and how tools like ASM, BTrace, and Arthas empower developers to inject bytecode, trace methods, and debug production systems without source changes.
This article explains how Java objects store behavior and attributes, describes the JVM method area where method bytecode resides, and demonstrates practical dynamic tracing techniques using java.lang.instrument.Instrumentation, BTrace scripts, and the Arthas diagnostic tool.
This article explains how Java objects store behavior and state, describes the JVM method area where method bytecode resides, and demonstrates runtime class modification using java.lang.instrument.Instrumentation, BTrace scripts, and the Arthas diagnostic tool to solve real‑world debugging problems.
The article explains how Java developers can dynamically trace and modify program behavior at runtime using the Instrumentation API, ASM bytecode manipulation, and the safe, annotation‑driven BTrace tool, illustrating techniques such as class redefinition, method interception, and examples like JSP recompilation and Arthas diagnostics.
