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Version: 1.0.0

Android Abnormal Memory Usage Detection

Automatic Detection: This feature is automatically activated for both debug and release builds.

Type: 17 | Severity: Major Type: 20 | Severity: Major

Automatically detect and monitor abnormal memory usage patterns in your Android applications with zero-configuration setup. The Appxiom SDK provides real-time memory monitoring for both Java and Kotlin Android projects.

The abnormal memory usage detection feature continuously monitors your Android app's memory consumption patterns and automatically identifies:

  • Memory Spikes: Sudden increases in memory allocation
  • Abnormal Growth: Gradual but concerning memory usage increases

Integration Requirements​

This feature works automatically once you complete the basic SDK integration. No additional code or configuration is required.

// No additional code needed - automatic detection
// Just ensure basic Appxiom SDK integration is complete

Frequently Asked Questions​

Q: What specific memory conditions does Appxiom monitor and detect?​

A: Appxiom's abnormal memory usage detection continuously monitors several critical memory patterns:

Memory Trigger Conditions:

  • Memory usage increases beyond normal thresholds: Detects when your app's memory consumption exceeds established baseline patterns
  • Rapid memory allocation patterns: Identifies sudden spikes in memory allocation that could indicate problematic code paths

Q: What are the key benefits of using Appxiom's memory detection for Android development?​

A: Appxiom provides comprehensive memory monitoring benefits that enhance your development and production workflow:

Proactive Issue Detection:

  • Early Warning System: Catch memory problems before they escalate into crashes, ANRs, or out-of-memory errors in production
  • Real-time Alerts: Receive immediate reports in Appxiom dashboard when abnormal memory patterns are detected
  • Prevention Over Reaction: Address memory issues proactively rather than debugging crashes after they occur

Production Monitoring:

  • Real User Environment: Monitor actual memory usage issues in production environments as well without impacting app performance
  • Comprehensive Coverage: Track memory behavior across all user sessions and device configurations

Optimization Opportunities:

  • Activity Trail Integration: Correlate memory usage with specific user actions and app states using detailed activity trails

Q: Can I customize memory detection thresholds, and what configuration options are available?​

A: Currently, Appxiom uses intelligent auto-calibration for memory detection thresholds:

Why Auto-Calibration Works Best:

  • App-Specific Patterns: Every application has unique memory usage characteristics that require individualized thresholds
  • False Positive Reduction: Auto-calibration minimizes false alerts while maintaining high detection accuracy
  • Maintenance-Free: No manual threshold tuning or ongoing configuration maintenance required