Performance

Tame Spring GPT Memory Bloat in Beans

Deduplicates beans, tweaks scopes, halves container RAM usage.

January 15, 2025 6 min read

The memory leak disaster

Your server runs out of memory daily, causing crashes and downtime. Memory usage constantly increases until the system becomes unresponsive. Users experience slow performance that gets worse throughout the day, and you're constantly restarting servers to keep things running.

How AI created memory leaks

AI-generated code often creates memory leaks through improper resource management. Event listeners aren't cleaned up, large objects accumulate in memory, and database connections aren't properly closed. The AI focuses on functionality without considering long-term memory usage.

The memory optimization

  1. Identified and fixed memory leaks in critical paths
  2. Implemented proper resource cleanup and disposal
  3. Added memory monitoring and alerting
  4. Optimized data structures and caching strategies

The stability transformation

Memory usage is now stable and predictable. Servers run for weeks without issues, and performance remains consistent throughout the day. We've eliminated the daily crashes and implemented monitoring to prevent future memory problems.

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