wehub-resource-sync
90 lines
4.0 KiB
Markdown
90 lines
4.0 KiB
Markdown
---
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allowed-tools: Read, Bash, Grep, Glob
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argument-hint: [target-area] | --frontend | --backend | --database
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description: Comprehensive memory usage optimization with leak detection, garbage collection tuning, and memory profiling
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---
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# Optimize Memory Usage
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Analyze and optimize memory usage patterns to prevent leaks and improve application performance: **$ARGUMENTS**
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## Instructions
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1. **Memory Analysis and Profiling**
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- Profile current memory usage patterns using appropriate tools (Chrome DevTools, Node.js --inspect, Valgrind)
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- Identify memory leaks and excessive memory consumption hotspots
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- Analyze garbage collection patterns and performance impact
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- Create baseline measurements for optimization tracking
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- Document memory allocation hotspots and growth patterns over time
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2. **Memory Leak Detection**
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- Set up memory leak detection for different runtime environments
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- Monitor heap snapshots and compare over time intervals
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- Track DOM node leaks in browser applications
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- Implement event listener cleanup and monitoring
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- Use profiling tools to identify growing memory patterns
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3. **Garbage Collection Optimization**
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- Configure garbage collection settings for your runtime environment
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- Tune Node.js heap sizes and GC flags for optimal performance
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- Monitor GC pause times and frequency
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- Implement GC performance monitoring and alerting
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- Optimize object lifecycles to reduce GC pressure
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4. **Memory Pool and Object Reuse**
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- Implement object pooling for frequently allocated objects
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- Create buffer pools for Node.js applications
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- Reuse DOM elements and components in frontend applications
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- Design memory-efficient data structures (circular buffers, sparse arrays)
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- Pre-allocate objects to reduce runtime allocation overhead
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5. **String and Text Optimization**
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- Implement string interning for frequently used strings
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- Optimize string concatenation and manipulation operations
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- Use efficient text processing algorithms
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- Minimize string duplication across the application
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- Consider string compression for large text data
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6. **Database Connection Optimization**
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- Implement proper connection pooling with appropriate limits
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- Configure connection timeouts and cleanup procedures
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- Optimize query result caching and memory usage
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- Monitor database connection memory overhead
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- Implement connection leak detection and prevention
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7. **Frontend Memory Optimization**
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- Optimize component lifecycle and cleanup
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- Implement proper event listener cleanup
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- Use lazy loading for images and components
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- Minimize bundle size and code splitting
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- Monitor and optimize browser memory usage patterns
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8. **Backend Memory Optimization**
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- Optimize server request handling and cleanup
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- Implement streaming for large data processing
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- Configure appropriate memory limits and monitoring
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- Optimize middleware and request lifecycle
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- Use memory-efficient data processing patterns
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9. **Container and Deployment Optimization**
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- Configure appropriate container memory limits
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- Optimize Docker image layers for memory efficiency
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- Monitor memory usage in production environments
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- Implement memory-based auto-scaling policies
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- Set up memory usage alerting and monitoring
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10. **Memory Monitoring and Alerting**
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- Set up real-time memory monitoring dashboards
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- Configure memory usage alerts and thresholds
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- Implement memory leak detection in production
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- Track memory performance metrics over time
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- Create automated memory optimization testing
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11. **Production Memory Management**
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- Implement graceful memory pressure handling
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- Configure memory-based health checks
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- Set up memory usage trending and analysis
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- Implement emergency memory cleanup procedures
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- Monitor and optimize memory usage patterns
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Focus on the specific memory optimization strategies that provide the biggest impact for your target environment. Always measure memory usage before and after optimizations to quantify improvements. |