This guide reviews eight Linux system‑monitoring applications—including Stacer, htop, Xfce Task Manager, Glances, Conky, Monitorix, bpytop, and GNOME Usage—detailing their main features, usage scenarios, and where to obtain them, helping users choose the right tool for performance analysis.
This guide explains how high concurrency and fast response depend on throughput and latency, defines key performance metrics, shows how to interpret average load, CPU context switches, and memory usage, and provides practical Linux tools and command‑line examples for diagnosing and tuning system performance.
This article analyzes Baidu App's Android launch performance, explaining the startup process, identifying bottlenecks, and detailing practical optimizations—including task scheduling, KV storage redesign, lock improvements, and low‑level system tweaks—backed by code samples and measurable results.
Baidu dramatically accelerated its Android app’s launch by dissecting the cold‑start sequence, applying full‑path analysis, leveraging tracing tools, introducing a priority‑aware task‑scheduling framework, replacing SharedPreferences with the binary UniKV store, eliminating lock contention, and tightening thread, I/O, and library loading, which together cut ANR rates and boosted user retention.
This comprehensive guide explains Linux performance optimization by covering core metrics such as throughput and latency, the meaning of average load, CPU context switching, memory management, common bottlenecks, and a suite of diagnostic tools like vmstat, pidstat, perf, and strace, plus practical tuning techniques for both applications and the operating system.
This guide explains how to trace transaction latency in multi‑vendor server environments, outlines the key monitoring metrics across CPU, network, disk and processes, compares coarse‑ and fine‑grained sampling, and proposes a unified, AI‑enhanced toolkit for diagnosing hardware and software performance bottlenecks.
This guide introduces several Linux performance monitoring tools—nmon, perf, top, iostat, sar, dstat, and htop—explaining their functions, key metrics, and installation commands for use on a Huawei Kunpeng server. It also shows how to generate flame graphs with perf and highlights htop's interactive advantages.
This article introduces a collection of essential Java tools—including jstack, jmap, jhat, jstat, jdb, jcmd, jps, jinfo, javap, javac, jconsole, and jvisualvm—explaining their purposes, common commands, and how they help diagnose memory leaks, CPU spikes, thread issues, and overall JVM performance.
Discover a comprehensive collection of 80 essential Linux monitoring tools, ranging from system resource visualizers like nmon and Glances to log analyzers such as GoAccess, each described with features, usage tips, and links, helping sysadmins efficiently track performance, diagnose issues, and maintain robust infrastructure.
This article presents a curated list of 18 command‑line tools for Linux/Unix administrators, explaining how each utility—such as top, vmstat, lsof, tcpdump, and Nagios—helps monitor system performance, diagnose issues, and maintain reliable server operations.
This article examines fourteen typical CPU‑related performance problems in C/C++ applications—such as excessive memset, inefficient string handling, improper container usage, lock contention, and heavy I/O—explains their causes, presents real‑world examples, and compares popular CPU profiling tools to guide developers toward effective optimization.
This article presents a curated list of ten powerful server monitoring solutions, describing each tool's key features and benefits to help you ensure your web servers remain performant, reliable, and promptly alert you to any issues.
