Replit deployment

Reserved VM Insufficient Memory

Your app runs out of memory (OOM) and crashes on Replit Reserved VM. Even with memory limits increased, the app consumes all available RAM.

Spring Boot and the JVM have significant base memory overhead.

Error Messages You Might See

java.lang.OutOfMemoryError: Java heap space java.lang.OutOfMemoryError: GC overhead limit exceeded Killed by system (exit code 137)
java.lang.OutOfMemoryError: Java heap spacejava.lang.OutOfMemoryError: GC overhead limit exceededKilled by system (exit code 137)

Common Causes

  1. JVM max heap size (-Xmx) too large for VM memory
  2. Memory leaks in application code
  3. Too much in-memory caching without eviction
  4. Large batch operations loading all data at once
  5. Reserved VM tier too small (1GB, should be 2GB+)

How to Fix It

For Spring Boot, set -Xmx to 60% of VM memory (e.g., -Xmx512m for 1GB VM). Upgrade to 2GB+ Reserved VM. Implement pagination and streaming for large datasets. Monitor heap with JVM metrics. Use spring.jpa.properties.hibernate.jdbc.batch_size for efficient bulk operations.

Real developers can help you.

Victor Denisov Victor Denisov Developer Mehdi Ben Haddou Mehdi Ben Haddou - Founder of Chessigma (1M+ users) & many small projects - ex Founding Engineer @Uplane (YC F25) - ex Software Engineer @Amazon and @Booking.com 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. Nam Tran Nam Tran 10 years as fullstack developer Franck Plazanet Franck Plazanet I am a Strategic Engineering Leader with over 8 years of experience building high-availability enterprise systems and scaling high-performing technical teams. My focus is on bridging the gap between complex technology and business growth. Core Expertise: 🚀 Leadership: Managing and coaching teams of 15+ engineers, fostering a culture of accountability and continuous improvement. 🏗️ Architecture: Enterprise Core Systems, Multi-system Integration (ERP/API/ETL), and Core Database Structure. ☁️ Cloud & Scale: AWS Expert; architected systems handling 10B+ monthly requests and managing 100k+ SKUs. 📈 Business Impact: Aligning tech strategy with P&L goals to drive $70k+ in monthly recurring revenue. I thrive on "out-of-the-box" thinking to solve complex technical bottlenecks and am always looking for ways to use automation to improve business productivity. BurnHavoc BurnHavoc Been around fixing other peoples code for 20 years. Prakash Prajapati Prakash Prajapati I’m a Senior Python Developer specializing in building secure, scalable, and highly available systems. I work primarily with Python, Django, FastAPI, Docker, PostgreSQL, and modern AI tooling such as PydanticAI, focusing on clean architecture, strong design principles, and reliable DevOps practices. I enjoy solving complex engineering problems and designing systems that are maintainable, resilient, and built to scale. zipking zipking I am a technologist and product builder dedicated to creating high-impact solutions at the intersection of AI and specialized markets. Currently, I am focused on PropScan (EstateGuard), an AI-driven SaaS platform tailored for the Japanese real estate industry, and exploring the potential of Archify. As an INFJ-T, I approach development with a "systems-thinking" mindset—balancing technical precision with a deep understanding of user needs. I particularly enjoy the challenge of architecting Vertical AI SaaS and optimizing Small Language Models (SLMs) to solve specific, real-world business problems. Whether I'm in a CTO-level leadership role or hands-on with the code, I thrive on building tools that turn complex data into actionable value. Pratik Pratik SWE with 15+ years of experience building and maintaining web apps and extensive BE infrastructure Kingsley Omage Kingsley Omage Fullstack software engineer passionate about AI Agents, blockchain, LLMs.

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Frequently Asked Questions

What JVM flags should I use?

-Xmx512m -Xms256m are good defaults. Adjust based on VM memory

How do I monitor memory usage?

Check Reserved VM dashboard and add Spring Boot actuator endpoint /actuator/metrics

Related Replit Issues

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