Heap dump files are large in size (several GB). To troubleshoot the heap dump, you have to transmit the heap dump file from your production server to your local machine
How is HeapHero different?
HEAP DUMP ANALYSIS API
The Heap Hero REST API streamlines Android JVM heap dump analysis without manual effort. Major enterprises utilize it in CI/CD pipelines, production root cause analysis, and for analyzing multiple application dumps efficiently. It supports various compression formats, facilitates remote downloads, and provides JSON/XML responses for detailed troubleshooting insights.
Decoding Java Memory Analyzer Reports: A Step-by-Step Guide for Developers
Fun fact: in the 1960s, it was not uncommon for a programmer to spend half an hour figuring out how to save two bytes of memory. Memory was expensive. By comparison, a programmer’s time was cheap. These days, memory is cheap, and many developers cheerfully forget about memory considerations. Let the garbage collector sort it... Continue Reading →
Memory Analysis for Containerized Java Applications (Docker, Kubernetes)
Containerized applications facilitate deployment and reliability across platforms, particularly in microservices. However, they may face memory issues, often leading to performance degradation and crashes. Proper tools and configurations, like heap dump analyzers and JVM adjustments, are crucial for troubleshooting memory problems effectively in environments like Kubernetes. Planning and monitoring can enhance diagnostics.
Continuous Memory Analysis: Integrating Your Memory Analyzer into CI/CD for Proactive Health Monitoring
Today's technology landscape requires precise automation in software development to avoid inferior product releases. CI/CD pipelines facilitate this, but emphasis should also be placed on performance testing. Tools like HeapHero enhance these pipelines by analyzing memory usage and aiding in decision-making, thus preventing performance issues before they reach production.
Advanced Memory Analysis Techniques: Unlocking Hidden Performance Gains with a Memory Analyzer
Performance is crucial as reliance on computer systems grows, particularly in high-demand sectors. Memory-related issues significantly affect Java applications' performance. This article discusses using Java memory analyzer tools like HeapHero to identify memory problems, such as leaks and inefficient garbage collection settings, aimed at ensuring optimal application performance.
Java OutOfMemoryError: Understanding 9 Types, Causes & Solutions
Learn about the different types of OutOfMemoryError in Java and how to fix them. Watch the video for expert insights and solutions.
The Definitive Guide to Java Heap Dump Analyzer Tools: Choosing and Using the Right Tool
Memory analyzer tools are essential throughout the project lifecycle for memory management, optimization, and troubleshooting. Different tools like HeapHero, Eclipse MAT, and Android Studio Profiler serve various needs from deep analysis to quick monitoring. Selecting the appropriate tool depends on factors like the application's environment and specific analysis goals.
Mastering Java Heap Dump Analysis: An Expert’s Guide to Solving Complex Memory Problems
Java performance issues often stem from memory problems, affecting system responsiveness and increasing cloud costs. Analyzing heap dumps provides insights into these issues. This article discusses the JVM memory model, heap dump analysis, and tools like HeapHero to identify memory leaks and wastage, ultimately aiding in effective troubleshooting.
Top 5 Heap Dump Analyzers for Fixing OutOfMemoryError
A heap dump captures Java heap memory for diagnosing issues like memory leaks or OutOfMemoryError. Analyzers, both online and offline, serve to analyze these dumps, each with distinct advantages and drawbacks. Five notable tools discussed include HeapHero, Eclipse MAT, IBM HeapAnalyzer, Java Mission Control, and VisualVM, each varying in features and efficiency.
JAX London 2025 – JVM HEAP VS NATIVE MEMORY LEAKS: TROUBLESHOOTING AND FORECASTING TECHNIQUES
JAX London is a premier conference for Java and Software Architecture, featuring industry experts. In 2025, architect Ram Lakshmanan discussed “JVM HEAP VS NATIVE MEMORY LEAKS.” He outlined detection, troubleshooting, and forecasting techniques for both types of memory leaks, using real production incidents to illustrate effective prevention strategies.
A Deep Dive into the JVM Memory Model: How Heap, Stack, and Metaspace Function and Fail.
Understanding the Java memory model is crucial for effective troubleshooting and efficient system design. This article examines the heap, stack, and metaspace, highlighting common memory issues, their symptoms, and diagnostic approaches. It emphasizes tools like HeapHero and GCeasy for analyzing memory problems, ensuring optimized application performance and stability.