This guide explains why Java developers need profiling, introduces IntelliJ IDEA’s built‑in Profiler (powered by Async Profiler and JFR), and provides step‑by‑step instructions with screenshots for CPU, memory, and thread analysis to diagnose slow endpoints, high CPU usage, memory leaks, and concurrency bottlenecks.
This guide introduces Java performance analysis fundamentals, covering profiling tools, key metrics such as CPU, memory, thread behavior, and practical methods to detect and resolve common issues like memory leaks, GC pauses, high CPU usage, I/O bottlenecks, and inefficient collection usage.
This comprehensive guide explains how to diagnose Linux performance problems—from CPU, memory, disk I/O, and network bottlenecks to system load—using tools like top, vmstat, perf, iostat, netstat, and flame graphs, and demonstrates the methodology with a real‑world Nginx case study.
This guide walks you through using IntelliJ IDEA Ultimate’s built‑in Profiler to analyze Java CPU and memory performance, covering quick start steps, visualizations such as hotspot maps, call trees, method lists, timelines, real‑time charts, and exporting results as .jfr and .hprof files.
A former Apple developer has released a 350‑page reverse‑engineering report that dissects the M1 ARM chip’s architecture, performance, and cache design, offering detailed experiments, patent analysis, and insights for readers with strong CPU knowledge while highlighting the challenges of opening Apple’s closed hardware ecosystem.
This article outlines systematic methods for diagnosing subtle performance issues by leveraging detailed data analysis of CPU, memory, disk I/O, and network metrics, and presents real-world case studies that demonstrate how targeted profiling and optimization can reveal and resolve hidden bottlenecks in complex systems.
This article outlines a systematic approach to diagnosing and optimizing application performance, covering background concepts, a four‑step workflow, common pitfalls, and a comprehensive toolbox of Linux and Java utilities, while emphasizing practical analysis techniques for CPU, memory, disk, and network bottlenecks.
The article offers a thorough guide to Android ANR analysis, detailing generation mechanisms, timeout thresholds, log examination techniques, and case studies of common causes such as idle main threads, long operations, lock contention, CPU preemption, memory pressure, and system‑service timeouts, providing practical diagnostic examples.
This article shares three years of experience building an automated performance‑testing platform for Alibaba Cloud Elastic Compute, covering what performance testing is, how to design comprehensive tests for CPU, memory, storage, network and OS, and the essential skills engineers need to become true performance architects.
This comprehensive guide explains how to diagnose Linux system performance issues using a structured 5W2H approach, covering CPU, memory, disk I/O, network, load, and flame‑graph analysis, with practical command examples and a real‑world nginx case study.
This article consolidates practical knowledge on system performance optimization, covering key metrics, load‑testing utilities, Linux monitoring commands, and JVM profiling tricks to help engineers pinpoint and resolve throughput, latency, CPU, disk, and network bottlenecks.
