This article explains the concept of process hotspot tracing, analyzes common performance pain points in cloud‑native environments, and details Sysom's solution—including stack unwinding, symbol resolution, flame‑graph generation, and real‑world case studies—to help developers and operators quickly locate and resolve system bottlenecks.
The article introduces Linux’s built‑in performance analysis tool perf, explains its event‑driven sampling, tracing and profiling capabilities, shows how to install it on various distributions, demonstrates common commands with real code examples, and discusses practical scenarios for locating and optimizing kernel and application performance issues.
This article explains the Linux kernel’s perf utility, covering its architecture, key features such as lightweight event sampling, tracing, profiling and debugging, step‑by‑step installation, common commands with real code examples, and how to use perf and flame graphs to locate and optimise performance bottlenecks.
Learn how to leverage the Arthas flamegraph tool to profile Java applications, interpret CPU usage visualizations, and apply practical optimization techniques illustrated through real-world case studies that reduced CPU consumption by up to 6% and improved system stability during high‑traffic events.
This article introduces Linux perf, explains how to install it, demonstrates basic commands such as perf‑list, perf‑stat, perf‑top, perf‑record and perf‑report, and shows how to combine perf with flame‑graphs to locate CPU‑bound hotspots and other performance bottlenecks in applications and the kernel.
This guide explains how to install and use Reli, a PHP‑written sampling profiler and VM state inspector, to detect bottlenecks, trace execution, locate memory issues, and generate flamegraphs for PHP processes without modifying the target program.
This comprehensive guide introduces Linux perf, explains its core components, walks through essential commands, demonstrates real‑world use cases such as CPU, memory, and I/O analysis, shows how to generate flame graphs, and provides advanced tips and troubleshooting for accurate performance profiling on Linux systems.
This article explains how software performance events in the Linux kernel affect application performance, demonstrates how to list, count, and trace these events with perf, and shows how to visualize the results using FlameGraph to pinpoint bottlenecks such as cache misses, context switches, and page faults.
This article explains how to break down API response time, identify common latency causes, and use browser developer tools, the httpstat command‑line utility, and flame‑graph profiling (Async Profiler) to pinpoint and optimize slow backend performance.
This article introduces flame graphs, explains their visual characteristics and how they help identify performance bottlenecks in Java applications, and provides practical guidance on generating them using Perl scripts and shell commands to process jstack and perf outputs.
This article explains the concept, features, and practical usage of flame graphs—including how to generate them from Java thread dumps with Perl scripts—to help developers visualize call‑stack frequencies and quickly identify performance bottlenecks in backend services.
This guide explains how to systematically analyze Linux performance problems—including CPU, memory, disk I/O, network, and load—using 5W2H methodology, built‑in monitoring commands, perf, flame‑graph visualizations, and a real‑world Nginx case study to pinpoint and resolve bottlenecks.
This article describes how a Go‑based message‑push service migrated to a Kubernetes‑Docker container platform exhibited unexpectedly high CPU usage, the step‑by‑step profiling with go‑tool pprof and flame graphs, analysis of the Go GMP scheduler, and the resolution by configuring GOMAXPROCS to match the container‑allocated cores.
This article explains how to install perf and FlameGraph tools on Linux, capture profiling data from MySQL using various perf record options, convert the binary output to a readable script, and generate an SVG flame graph for visual performance analysis, including example commands and interpretation tips.
This comprehensive guide explains how to diagnose Linux performance issues using a structured 5W2H approach, introduces essential monitoring tools for CPU, memory, disk I/O, and network, and demonstrates practical flame‑graph techniques—including on‑CPU, off‑CPU, memory, and differential analyses—to quickly locate and resolve bottlenecks.
