Claude Code performance

Memory Leak in Long-Running Background Job

A background job that runs periodically starts consuming more memory with each execution. After hours of running, the application runs out of memory and crashes. The job itself is correct but something isn't being cleaned up properly.

Memory usage climbs steadily despite the job appearing to complete normally.

Error Messages You Might See

java.lang.OutOfMemoryError: Java heap space Memory usage climbs to 100% after running job repeatedly Process killed due to memory limit exceeded

Common Causes

  1. Large collection (List, Set) accumulating items without clearing
  2. Event listeners registered but never unregistered, accumulating with each run
  3. Database connections or file handles not closed in finally block
  4. Strong references held to completed objects preventing garbage collection
  5. Timer or scheduled task not cancelled, creating new instances on top of old ones

How to Fix It

Use memory profiler to find memory growth (Java: JProfiler, YourKit). Look for accumulating collections. Ensure resources are closed with try-finally or try-with-resources. Unregister event listeners when done. Clear collections: list.clear(). Check for circular references. Use weak references if needed. Monitor memory: jmap -heap PID

Real developers can help you.

Taufan Taufan I’m a product-focused engineer and tech leader who builds scalable systems and turns ideas into production-ready platforms. Over the past years, I’ve worked across startups and fast-moving teams, leading backend architecture, improving system reliability, and shipping products used by thousands of users. My strength is not just writing code — but connecting product vision, technical execution, and business impact. Jared Hasson Jared Hasson Full time lead founding dev at a cyber security saas startup, with 10 yoe and a bachelor's in CS. Building & debugging software products is what I've spent my time on for forever Richard McSorley Richard McSorley Full-Stack Software Engineer with 8+ years building high-performance applications for enterprise clients. Shipped production systems at Walmart (4,000+ stores), Cigna (20M+ users), and Arkansas Blue Cross. 5 patents in retail/supply chain tech. Currently focused on AI integrations, automation tools, and TypeScript-first architectures. Costea Adrian Costea Adrian Embedded Engineer specilizing in perception systems. Latest project was a adas camera calibration system. Simon A. Simon A. I'm a backend developer building APIs, emulators, and interactive game systems. Professionally, I've developed Java/Spring reporting solutions, managed relational and NoSQL databases, and implemented CI/CD workflows. Jaime Orts-Caroff Jaime Orts-Caroff I'm a Senior Android developer, currently working at Aircall. I'm open to work in various fields! PawelPloszaj PawelPloszaj I'm fronted developer with 10+ years of experience with big projects. I have small backend background too Matthew Butler Matthew Butler Systems Development Engineer @ Amazon Web Services Pratik Pratik SWE with 15+ years of experience building and maintaining web apps and extensive BE infrastructure Krishna Sai Kuncha Krishna Sai Kuncha Experienced Professional Full stack Developer with 8+ years of experience across react, python, js, ts, golang and react-native. Developed inhouse websearch tooling for AI before websearch was solved : )

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Frequently Asked Questions

How to find memory leaks?

Use profiler (JProfiler, YourKit, Chrome DevTools). Take heap dumps before/after memory growth. Compare objects in memory.

How to fix common memory leaks?

Use try-finally for resource cleanup. Unregister listeners: obj.removeEventListener(). Clear collections before reuse: list.clear(). Use weak references for caches.

What's a proper resource cleanup pattern?

try-with-resources (Java 7+): try (Resource r = new Resource()) { use r } (auto-closes). Or try-finally with cleanup in finally block.

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