Memory & Profiling
OOM leak tracing, heap analysis, and low-end device optimization for peak mobile performance
Out-Of-Memory Leak Tracing
Detect and trace memory leaks before they cause OOM crashes. Our engine monitors heap allocations, tracks object retention paths, and identifies the exact code responsible for memory growth.
- Real-time heap allocation monitoring
- Object retention path analysis
- Activity & Fragment leak detection
- Bitmap and resource leak identification
ImageCache.kt:234 → Retaining 45MB of bitmap data after Activity destroyed
Device Performance Matrix
Low-End (≤2GB RAM)
Samsung J2, Moto E
Optimized
142MB avg
Mid-Range (3-4GB RAM)
Pixel 4a, Galaxy A52
Good
198MB avg
High-End (≥6GB RAM)
Pixel 7, Galaxy S23
Excellent
267MB avg
Low-End Device Optimization
Ensure your app performs well across the entire device spectrum. Our profiling engine identifies memory-intensive operations and suggests optimizations for budget devices.
- Device-specific memory budgets
- Image loading optimization suggestions
- Background process management
- Aggressive GC threshold tuning
Advanced Heap Analysis
Deep insights into memory allocation patterns and garbage collection behavior
Allocation Tracking
Track every memory allocation with stack traces to identify hotspots and excessive object creation
GC Analysis
Monitor garbage collection frequency and duration to optimize pause times and reduce jank
Native Memory
Track native heap allocations for JNI, graphics, and media operations
Leak Detection
Automatic detection of memory leaks with retention path analysis and fix suggestions
Memory Budgets
Set and monitor memory budgets per feature to prevent runaway allocations
Device Segments
Compare memory usage across device tiers and optimize for your target audience
Optimize Your App's Memory Footprint
Get a comprehensive memory analysis of your app with our technical assessment
Schedule Technical Assessment