optimization

Typosentinel Optimization System

A comprehensive production optimization system for Typosentinel that provides database query optimization, multi-level caching strategies, and performance monitoring.

Overview

The optimization system consists of several key components:

• Database Optimizer: Query caching, batch processing, and index management
• Cache Manager: Multi-level caching (L1: in-memory, L2: file-based, L3: Redis)
• Performance Optimizer: Resource monitoring, concurrency management, and optimization engine
• Integration Manager: Unified interface for all optimization features

Features

Database Optimization

• Query result caching with configurable TTL
• Batch processing for improved throughput
• Automatic index management and optimization
• Query performance analysis and slow query detection
• Connection pooling and timeout management

Multi-Level Caching

• L1 Cache (In-Memory): Fast access with LRU/LFU eviction policies
• L2 Cache (File-Based): Persistent caching with compression
• L3 Cache (Redis): Distributed caching for scalability
• Cache warming and preloading strategies
• Intelligent cache invalidation and refresh

Performance Monitoring

• Real-time resource usage monitoring (CPU, memory, goroutines)
• Performance profiling and bottleneck detection
• Adaptive optimization based on workload patterns
• Comprehensive metrics collection and reporting
• Alert system for performance degradation

Optimization Engine

• Machine learning-based optimization suggestions
• Automatic parameter tuning based on usage patterns
• Performance regression detection
• Workload-specific configuration recommendations

Quick Start

Basic Usage

package main

import (
    "log"
    "typosentinel/internal/database"
    "typosentinel/internal/optimization"
)

func main() {
    // Initialize database
    db, err := database.NewThreatDB("threats.db")
    if err != nil {
        log.Fatal(err)
    }
    defer db.Close()

    // Create optimization manager with production settings
    optManager, err := optimization.QuickOptimizationSetup(db)
    if err != nil {
        log.Fatal(err)
    }

    // Start optimization
    if err := optManager.Start(); err != nil {
        log.Fatal(err)
    }
    defer optManager.Stop()

    // Perform optimized threat lookup
    threat, err := optManager.OptimizedThreatLookup("package-name", "npm")
    if err != nil {
        log.Printf("Lookup error: %v", err)
    }

    // Get optimization statistics
    stats := optManager.GetOptimizationStats()
    log.Printf("Cache hit ratio: %.2f%%", stats.Cache.OverallHitRatio*100)
}

Batch Processing

// Prepare batch of packages
packages := []types.Package{
    {Name: "express", Version: "4.18.0", Registry: "npm"},
    {Name: "lodash", Version: "4.17.21", Registry: "npm"},
    {Name: "react", Version: "18.2.0", Registry: "npm"},
}

// Perform batch optimized lookup
threats, err := optManager.BatchOptimizedThreatLookup(packages)
if err != nil {
    log.Printf("Batch lookup error: %v", err)
}

log.Printf("Checked %d packages, found %d threats", len(packages), len(threats))

Custom Configuration

// Create custom configuration
config := &optimization.PerformanceConfig{
    Database: optimization.DatabaseConfig{
        QueryCacheSize:    1000,
        BatchSize:         100,
        ConnectionTimeout: 30 * time.Second,
        QueryTimeout:      10 * time.Second,
        MaxConnections:    20,
        EnableQueryCache:  true,
        EnableBatching:    true,
    },
    Cache: optimization.CacheConfig{
        L1: optimization.L1CacheConfig{
            Enabled:        true,
            MaxSize:        10000,
            TTL:            5 * time.Minute,
            EvictionPolicy: "lru",
        },
        L2: optimization.L2CacheConfig{
            Enabled:     true,
            MaxSizeMB:   100,
            TTL:         30 * time.Minute,
            Compression: true,
        },
        L3: optimization.L3CacheConfig{
            Enabled:   true,
            RedisURL:  "redis://localhost:6379",
            TTL:       2 * time.Hour,
            KeyPrefix: "typosentinel:",
        },
    },
    // ... other configuration options
}

// Create optimization manager with custom config
optManager := &optimization.OptimizationManager{
    // Initialize with custom config
}

Configuration

Environment-Based Configuration

The system supports different configuration profiles:

• Production: Optimized for high throughput and reliability
• Development: Balanced performance with debugging capabilities
• Testing: Minimal resource usage for testing environments

// Load configuration based on environment
config := optimization.ConfigFromEnvironment("production")

// Get system-optimized configuration
recommendedConfig := optimization.GetRecommendedConfig()

// Validate configuration
if err := optimization.ValidateConfig(config); err != nil {
    log.Fatal("Invalid configuration:", err)
}

Configuration Options

Database Configuration

• QueryCacheSize: Number of queries to cache
• BatchSize: Number of operations per batch
• ConnectionTimeout: Database connection timeout
• QueryTimeout: Individual query timeout
• MaxConnections: Maximum database connections
• EnableQueryCache: Enable/disable query caching
• EnableBatching: Enable/disable batch processing

Cache Configuration

• L1 Cache: In-memory cache settings
  • MaxSize: Maximum number of entries
  • TTL: Time-to-live for cache entries
  • EvictionPolicy: LRU, LFU, or FIFO
• L2 Cache: File-based cache settings
  • MaxSizeMB: Maximum cache size in MB
  • Compression: Enable/disable compression
• L3 Cache: Redis cache settings
  • RedisURL: Redis connection URL
  • KeyPrefix: Prefix for cache keys

Concurrency Configuration

• MaxWorkers: Maximum number of worker goroutines
• QueueSize: Size of work queue
• WorkerTimeout: Timeout for individual workers
• GracefulShutdown: Enable graceful shutdown

Monitoring Configuration

• MetricsInterval: Frequency of metrics collection
• AlertThresholds: Thresholds for performance alerts
• RetentionPeriod: How long to keep metrics data

Monitoring and Metrics

Getting Statistics

stats := optManager.GetOptimizationStats()

// Database statistics
fmt.Printf("Cache hit ratio: %.2f%%\n", stats.Database.CacheHitRatio*100)
fmt.Printf("Average query time: %v\n", stats.Database.AvgQueryTime)
fmt.Printf("Batch efficiency: %.2f%%\n", stats.Database.BatchEfficiency*100)

// Cache statistics
fmt.Printf("L1 hit ratio: %.2f%%\n", stats.Cache.L1HitRatio*100)
fmt.Printf("L2 hit ratio: %.2f%%\n", stats.Cache.L2HitRatio*100)
fmt.Printf("Overall hit ratio: %.2f%%\n", stats.Cache.OverallHitRatio*100)

// Performance statistics
fmt.Printf("Throughput: %.2f ops/sec\n", stats.Performance.Throughput)
fmt.Printf("Latency: %v\n", stats.Performance.Latency)
fmt.Printf("Optimization score: %.2f\n", stats.Performance.OptimizationScore)

// Resource statistics
fmt.Printf("CPU usage: %.2f%%\n", stats.Resource.CPUUsage)
fmt.Printf("Memory usage: %d MB\n", stats.Resource.MemoryUsage/(1024*1024))
fmt.Printf("Goroutines: %d\n", stats.Resource.GoroutineCount)

Generating Reports

report := optManager.GenerateOptimizationReport()

// View recommendations
for _, rec := range report.Recommendations {
    fmt.Printf("Recommendation: %s (Priority: %s)\n", rec.Description, rec.Priority)
    fmt.Printf("Expected impact: %s\n", rec.Impact)
}

// View alerts
for _, alert := range report.Alerts {
    fmt.Printf("Alert: %s (Severity: %s)\n", alert.Message, alert.Severity)
}

// View bottlenecks
for _, bottleneck := range report.Bottlenecks {
    fmt.Printf("Bottleneck in %s: %s\n", bottleneck.Component, bottleneck.Description)
}

Health Monitoring

// Perform health check
health := optManager.OptimizationHealthCheck()
fmt.Printf("Status: %s\n", health["status"])
fmt.Printf("Cache hit ratio: %s\n", health["cache_hit_ratio"])
fmt.Printf("Memory usage: %s\n", health["memory_usage"])
fmt.Printf("Optimization level: %s\n", health["optimization_level"])

Performance Tuning

Cache Optimization

1. L1 Cache Tuning:

   • Increase MaxSize for better hit ratios
   • Adjust TTL based on data freshness requirements
   • Choose appropriate eviction policy (LRU for temporal locality, LFU for frequency-based)

2. L2 Cache Tuning:

   • Set MaxSizeMB based on available disk space
   • Enable compression for better space utilization
   • Adjust TTL for longer-term caching

3. L3 Cache Tuning:

   • Configure Redis for optimal performance
   • Use appropriate KeyPrefix to avoid conflicts
   • Set TTL for distributed cache consistency

Database Optimization

1. Query Caching:

   • Increase QueryCacheSize for frequently accessed data
   • Monitor cache hit ratios and adjust accordingly

2. Batch Processing:

   • Optimize BatchSize based on query complexity
   • Enable batching for bulk operations

3. Connection Management:

   • Set MaxConnections based on database capacity
   • Adjust timeouts based on network conditions

Concurrency Optimization

1. Worker Pool Tuning:

   • Set MaxWorkers based on CPU cores and workload
   • Adjust QueueSize to handle traffic spikes

2. Resource Management:

   • Monitor goroutine count and memory usage
   • Enable graceful shutdown for clean termination

Best Practices

Production Deployment

1. Configuration:

   • Use environment-specific configurations
   • Validate configurations before deployment
   • Monitor configuration changes

2. Monitoring:

   • Set up alerts for performance degradation
   • Monitor cache hit ratios and adjust cache sizes
   • Track resource usage trends

3. Maintenance:

   • Regularly review optimization recommendations
   • Update configurations based on usage patterns
   • Perform periodic performance analysis

Development and Testing

1. Testing:

   • Use test-specific configurations
   • Write performance benchmarks
   • Test with realistic data volumes

2. Debugging:

   • Enable detailed logging in development
   • Use profiling tools for performance analysis
   • Monitor resource usage during development

Troubleshooting

Common Issues

1. Low Cache Hit Ratios:

   • Check cache sizes and TTL settings
   • Verify cache warming is working
   • Review access patterns

2. High Memory Usage:

   • Reduce cache sizes
   • Enable compression
   • Check for memory leaks

3. Poor Performance:

   • Review optimization recommendations
   • Check for bottlenecks in the report
   • Adjust concurrency settings

4. Database Timeouts:

   • Increase connection and query timeouts
   • Check database performance
   • Review query complexity

Debugging Tools

1. Health Checks:

   health := optManager.OptimizationHealthCheck()
   if health["status"] != "healthy" {
       log.Printf("Optimization unhealthy: %s", health["reason"])
   }
   

2. Performance Reports:

   report := optManager.GenerateOptimizationReport()
   for _, alert := range report.Alerts {
       log.Printf("Alert: %s", alert.Message)
   }
   

3. Statistics Monitoring:

   stats := optManager.GetOptimizationStats()
   if stats.Performance.OptimizationScore < 0.7 {
       log.Println("Performance below threshold")
   }
   

API Reference

OptimizationManager

• NewOptimizationManager(db, environment): Create new optimization manager
• Start(): Start optimization processes
• Stop(): Stop optimization processes
• OptimizedThreatLookup(package, registry): Perform optimized threat lookup
• BatchOptimizedThreatLookup(packages): Perform batch optimized lookups
• GetOptimizationStats(): Get current optimization statistics
• GenerateOptimizationReport(): Generate comprehensive optimization report
• OptimizationHealthCheck(): Perform health check
• GetConfiguration(): Get current configuration
• UpdateConfiguration(config): Update configuration
• IsRunning(): Check if optimization is running

Configuration Functions

• ConfigFromEnvironment(env): Load configuration for environment
• GetProductionConfig(): Get production configuration
• GetDevelopmentConfig(): Get development configuration
• GetTestConfig(): Get test configuration
• GetRecommendedConfig(): Get system-optimized configuration
• ValidateConfig(config): Validate configuration

Convenience Functions

• QuickOptimizationSetup(db): Quick setup with production settings
• DevelopmentOptimizationSetup(db): Setup for development
• TestOptimizationSetup(db): Setup for testing

Examples

See examples.go for comprehensive usage examples including:

• Basic optimization setup
• Batch processing
• Advanced configuration
• Health monitoring
• Configuration management
• Performance benchmarking

Testing

Run the test suite:

go test ./internal/optimization/...

Run benchmarks:

go test -bench=. ./internal/optimization/...

Contributing

When contributing to the optimization system:

1. Write comprehensive tests for new features
2. Update documentation for configuration changes
3. Add benchmarks for performance-critical code
4. Follow the existing code style and patterns
5. Ensure backward compatibility when possible

License

This optimization system is part of the Typosentinel project and follows the same license terms.