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 shows how to use the open‑source Java diagnostic tool Arthas to attach to a running JVM, view real‑time metrics, and trace method execution without inserting manual timing code, enabling quick pinpointing and optimization of performance bottlenecks.
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.
This article introduces VisualVM, a Java profiling tool bundled with the JDK, explains how to install and use its plugins for monitoring CPU, memory, threads, and garbage collection, and demonstrates step‑by‑step memory‑leak detection and remote Tomcat monitoring with code examples.
This article provides a comprehensive guide to optimizing SpringBoot services, covering metric exposure with Prometheus, custom business monitoring, Java flame‑graph profiling, SkyWalking distributed tracing, HTTP and Tomcat tuning, layer‑wise code improvements, and practical code examples for real‑world performance gains.
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.
This article introduces JVisualVM, explains how to install and use its plugins for monitoring threads, CPU, memory and GC, demonstrates a Java memory‑leak simulation with code and JVM options, shows step‑by‑step analysis of heap dumps, and describes remote Tomcat monitoring via JMX.
This guide introduces JVisualVM, explains its installation and plugin system, demonstrates how to create a memory‑leak example, use VisualGC and sampling tools to identify leaking objects, and shows step‑by‑step remote monitoring of a Tomcat server via JMX, providing practical screenshots and code snippets.
JVisualVM, bundled with JDK, offers a visual interface to monitor JVM threads, memory, CPU usage, and perform heap dumps, enabling developers to detect memory leaks, analyze object references, and remotely monitor applications such as Tomcat, with step-by-step installation, plugin usage, and code examples.
This guide introduces JVisualVM, explains its core features and plugins, demonstrates how to simulate and analyze memory leaks with sample code, and shows step‑by‑step remote monitoring of a Tomcat server using JMX.
This article introduces JVisualVM, explains its installation and plugin system, demonstrates how to create a memory‑leak test program and analyze the leak using VisualGC and heap dumps, and shows how to configure remote JMX monitoring for a Tomcat server.
This guide walks through a real‑world incident where a data platform’s CPU spiked to 98.94%, showing step‑by‑step how to identify the high‑load process, pinpoint the offending Java thread, analyze the root cause in the time‑utility code, and implement a performance‑focused solution that reduced load by thirtyfold.
This article provides a comprehensive overview of application performance optimization, covering background knowledge, a four‑step systematic process, essential tools for CPU, memory, disk, and network analysis, and practical tips for effective tuning and testing in production environments.
