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.
StackOverflowError vs OutOfMemoryError: Unable to Create Native Thread: A Thread Stack Analysis
Java production systems usually provide robustness, even when using substantial, long-term throughputs. But when a failure occurs, we need to look at the memory. Let’s assume that a service that processes thousands of requests per minute ends with a StackOverflowError under one load pattern. But the same service with a different execution pattern fails with... Continue Reading →
Metaspace vs. PermGen: Understanding Class Metadata Storage in Modern Java (Java 8+)
The article examines the transition from Permanent Generation (PermGen) to Metaspace in Java 8 for class metadata storage. It highlights PermGen's limitations, including fixed size and memory errors, and how Metaspace addresses these issues with dynamic memory allocation. The importance of monitoring and managing classloader memory leaks in modern applications is emphasized.
Understanding the Java Heap: Your Application’s Memory Playground
The article discusses Java Virtual Machine (JVM) memory allocation, focusing on heap space management and the role of the garbage collector (GC). It covers memory organization, types of memory pools, and common issues leading to heap space problems, emphasizing efficient coding practices and heap configuration for optimal performance and memory efficiency in applications.
The Advanced JVM Memory Analysis Toolkit: Beyond the Leak Suspects Report
Memory leaks can affect system performance and are often difficult to trace. While tools like HeapHero and Eclipse MAT help identify leak suspects, deeper analysis may be required, especially for leaks in native memory. Effective memory analysis involves examining GC logs and comparing heap dumps to uncover underlying issues and optimize configurations.
The Unseen Memory Leak: How ThreadLocal Variables Can Bring Down Your Application
ThreadLocal variables enhance concurrency in applications by allowing thread-specific data storage. However, improper use can lead to memory leaks if they retain references to large objects or aren't cleared. Strategies for prevention include ensuring removal of ThreadLocal variables after use, especially in thread pools, to maintain optimal performance and avoid data retention issues.
Java Memory Leaks: The Definitive Guide to Causes, Detection & Fixes
Java Memory Leaks pose significant challenges to application performance and stability, often leading to issues like gradual memory increase, CPU spikes, and OutOfMemoryError. This post explores causes and symptoms of memory leaks, troubleshooting methods including heap dump analysis, and preventative strategies during development to mitigate these problems effectively.
Unbounded Caches, Static Collections, and Unclosed Resources: The 3 Killer Anti-Patterns Causing Memory Leaks
The article discusses three prominent anti-patterns that cause memory leaks in Java: unbounded caches, static collections, and unclosed resources. Each can lead to inefficient memory management and potentially system crashes. Understanding and addressing these anti-patterns is crucial for maintaining application performance and preventing long-term issues in production environments.
Java OutOfMemoryError Exception: 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.
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.