Performance Optimization

Overview

Learn how to optimize Airys for maximum performance and efficiency. This guide covers system tuning, resource management, monitoring, and best practices for handling high-load scenarios.

Difficulty Level: Advanced
Time Required: 50 minutes
Last Updated: February 2024

Prerequisites

Administrator access
Understanding of system resources
Basic performance monitoring experience
Familiarity with configuration files
Knowledge of hardware specifications

System Requirements

Hardware Optimization

[Screenshot/Image Placeholder 1]
Caption: Hardware resource allocation diagram

CPU Configuration

cpu:
  cores_allocated: 8
  thread_priority: high
  process_affinity: true
  scheduler_policy: performance

Memory Settings
- RAM allocation
- Swap configuration
- Cache management
- Memory limits

💡 Pro Tip: Dedicate specific CPU cores to critical processes for consistent performance.

Resource Optimization

GPU Utilization

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Caption: GPU resource monitoring panel

GPU Settings

gpu:
  memory_limit: 4096
  compute_mode: exclusive
  power_limit: 200
  auto_boost: true

Processing Pipeline
- Batch processing
- Parallel execution
- Queue management
- Load balancing

Storage Optimization

Disk Configuration
- I/O scheduling
- Buffer sizes
- Cache policy
- Write strategy
Data Management
- File organization
- Cleanup policies
- Archive strategy
- Compression settings

Network Performance

Bandwidth Management

Traffic Optimization

network:
  max_bandwidth: 1000mbps
  quality_of_service: true
  buffer_size: 65536
  tcp_fastopen: true

Connection Settings
- TCP tuning
- UDP optimization
- Connection pooling
- Keep-alive settings

Stream Optimization

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Caption: Stream performance metrics

Video Streams
- Resolution scaling
- Frame rate control
- Bitrate adaptation
- Codec optimization
Data Streams
- Compression
- Batching
- Prioritization
- Error handling

Application Tuning

Process Management

Service Configuration

services:
  worker_processes: auto
  worker_connections: 1024
  backlog: 2048
  timeout: 60

Thread Management
- Thread pools
- Task scheduling
- Priority queues
- Resource limits

Cache Strategy

Cache Levels
- Memory cache
- Disk cache
- Distributed cache
- Cache invalidation
Optimization Rules
- Cache size
- TTL settings
- Eviction policy
- Preloading

Monitoring and Analysis

Performance Metrics

System Metrics
- CPU usage
- Memory utilization
- Disk I/O
- Network traffic
Application Metrics
- Response times
- Error rates
- Queue lengths
- Processing speed

Performance Analysis

Monitoring Tools

# Performance monitoring command
airys-monitor --metrics all --interval 5s

Analysis Methods
- Bottleneck detection
- Resource profiling
- Load testing
- Trend analysis

Frequently Asked Questions

Q: How do I identify performance bottlenecks?

A: Use the monitoring tools to track system metrics and look for resource saturation. See Monitoring and Analysis.

Q: What's the optimal number of worker processes?

A: Generally, use 1-2 workers per CPU core. Adjust based on monitoring results and workload.

Q: How can I improve face detection speed?

A: Optimize GPU utilization, adjust batch sizes, and ensure proper resource allocation. See GPU Utilization.

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Tags: performance, optimization, tuning, monitoring, resources