Raxol.Performance.AdaptiveOptimizer (Raxol v2.0.1)
View SourceAdaptive performance optimizer that responds to real-world usage patterns.
This module implements production-ready optimizations based on telemetry data:
- Dynamic resource allocation based on workload patterns
- Adaptive cache tuning with machine learning principles
- Performance threshold adjustment based on historical data
- Predictive scaling for high-load scenarios
- Memory pressure management with intelligent eviction
Summary
Functions
Returns a specification to start this module under a supervisor.
Configure adaptive thresholds for specific metrics.
Get current optimization state and recommendations.
Callback implementation for Raxol.Core.Behaviours.BaseManager.handle_manager_cast/2.
Manually trigger adaptive optimization based on current patterns.
Functions
Returns a specification to start this module under a supervisor.
See Supervisor.
Configure adaptive thresholds for specific metrics.
Get current optimization state and recommendations.
Callback implementation for Raxol.Core.Behaviours.BaseManager.handle_manager_cast/2.
Manually trigger adaptive optimization based on current patterns.