This article explains the problem of internal and external memory fragmentation in Linux systems, introduces eBPF as a powerful tracing tool, and provides step‑by‑step guidance for building, loading, and running eBPF programs to analyze and mitigate fragmentation on both Linux and Android platforms.
This article explains why Linux dominates server workloads, introduces the built‑in ftrace tracing framework, details its diverse tracers, lightweight static instrumentation and stable design, shows how to configure and use it via debugfs, and demonstrates performance tuning and fault diagnosis with real examples while comparing it to systemTap and LTTng.
This article introduces the Perfetto web UI, explains its four main sections, walks through essential navigation shortcuts, and shares practical techniques such as viewing wake‑up sources, critical paths, pinning threads, inspecting CPU info, buffer usage, timeouts, and logs to help Android developers efficiently analyze performance traces.
RheaTrace, an open‑source high‑performance tracing tool developed by ByteDance, extends Systrace by adding detailed I/O data, method‑level timing, and improved efficiency, offering Android developers a more comprehensive way to capture and analyze performance issues despite some setup complexities and platform limitations.
This article details how a micro‑frontend architecture and a series of performance‑focused techniques—including full‑link tracing, interface caching, parallel rendering, and template‑based snapshot rendering—were applied to dramatically improve shop page load times across devices.
This article introduces Puppeteer, a Node library for controlling Chrome/Chromium, explains its installation, key APIs, and demonstrates practical use cases such as generating PDFs, automating UI tests on mobile emulators, and capturing performance traces for web pages.
This article introduces phptrace, an open‑source PHP execution tracing tool, explains how to print a PHP process's call stack and perform real‑time tracing, and shows practical use cases for debugging and performance analysis in development and production environments.
This article explains why a tiny fraction of slow requests can dominate overall service latency, explores their causes—especially slow nodes on the query path—and shows how proper tracing and analysis can improve response times and cut infrastructure costs.
This article explains Vipshop’s multi‑layer monitoring architecture, detailing system‑level metrics, application‑level tracing with the Mercury platform, and business‑level KPI dashboards, while describing the data pipelines that collect, process, and alert on distributed logs to ensure reliable operations.
This article explains how IBM Research leverages Spark to capture and analyze network traffic of microservice‑based applications in an OpenStack cloud, providing real‑time transaction tracing and batch latency statistics to reveal service dependencies and performance bottlenecks.
