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 article explains how to use Java Flight Recorder (JFR) and JProfiler for low‑overhead, production‑grade performance analysis, covering JFR advantages, process discovery, file generation commands, JProfiler features, memory and CPU profiling techniques, and includes practical code examples.
Learn how to export a live heap dump from a Java service, use JProfiler 9.x to open the .hprof file, identify large objects such as Zipkin's InMemoryReporterMetrics, and pinpoint memory leaks that can consume gigabytes of RAM.
This guide introduces JProfiler, explains how to attach it to a running JVM, choose profiling modes, capture CPU and memory data, generate and analyze heap dumps using both JProfiler and jmap, and details the various views such as Memory, CPU, Thread, Monitor, and Telemetry for comprehensive Java performance troubleshooting.
A production Java service was unexpectedly killed due to out‑of‑memory conditions caused by oversized JVM heap settings and a thread‑pool that retained large log objects, and the article walks through the investigation, temporary fixes, deeper profiling, and the final remediation steps.
This article introduces nine Java performance profiling tools—including NetBeans Profiler, JProfiler, GC Viewer, VisualVM, Patty, JRockit Mission Control, Eclipse Memory Analyzer, Java Interactive Profiler, and Profiler4J—explaining their features, usage scenarios, and how they can help developers improve Java application efficiency.
This article reviews nine Java performance profiling tools—including NetBeans Profiler, JProfiler, GC Viewer, VisualVM, Patty, JRockit Mission Control, Eclipse Memory Analyzer, Java Interactive Profiler, and Profiler4J—detailing their features, usage scenarios, and how they help developers identify and resolve CPU, memory, and thread bottlenecks.
