Performance Optimization in TuskLang for Go

Overview

Performance optimization in TuskLang provides powerful performance tuning and optimization capabilities directly in your configuration files. These features enable you to define sophisticated optimization strategies, profiling configurations, and performance monitoring with Go integration for high-performance applications.

Basic Performance Configuration

// TuskLang performance configuration
performance: {
    profiling: {
        enabled: true
        cpu: {
            enabled: true
            duration: "30s"
            output: "cpu.prof"
            frequency: 1000
        }
        
        memory: {
            enabled: true
            output: "memory.prof"
            rate: 4096
            alloc_space: true
            alloc_objects: true
            inuse_space: true
            inuse_objects: true
        }
        
        goroutine: {
            enabled: true
            output: "goroutine.prof"
            debug: 1
        }
        
        block: {
            enabled: true
            output: "block.prof"
            rate: 1
        }
        
        mutex: {
            enabled: true
            output: "mutex.prof"
            rate: 1
        }
    }
    
    optimization: {
        gc: {
            enabled: true
            target_percentage: 50
            max_percentage: 100
            min_heap_size: "1MB"
            max_heap_size: "1GB"
        }
        
        memory: {
            enabled: true
            preallocate: true
            pool_size: 1000
            max_idle: 100
            max_lifetime: "5m"
        }
        
        concurrency: {
            enabled: true
            max_goroutines: 10000
            worker_pool_size: 100
            queue_size: 1000
            timeout: "30s"
        }
        
        caching: {
            enabled: true
            strategy: "lru"
            max_size: 10000
            ttl: "1h"
            compression: true
        }
    }
    
    monitoring: {
        metrics: {
            enabled: true
            interval: "10s"
            runtime: true
            custom: true
            export: {
                prometheus: {
                    enabled: true
                    port: 9090
                    path: "/metrics"
                }
                
                influxdb: {
                    enabled: true
                    url: "@env('INFLUXDB_URL')"
                    database: "performance"
                    retention: "30d"
                }
            }
        }
        
        alerts: {
            enabled: true
            thresholds: {
                cpu_usage: 80
                memory_usage: 85
                goroutine_count: 1000
                gc_duration: "100ms"
            }
            
            channels: {
                slack: {
                    enabled: true
                    webhook: "@env('SLACK_WEBHOOK')"
                    channel: "#performance"
                }
                
                email: {
                    enabled: true
                    smtp: "@env('SMTP_URL')"
                    recipients: ["team@example.com"]
                }
            }
        }
    }
    
    benchmarking: {
        enabled: true
        suites: {
            api_benchmark: {
                enabled: true
                endpoints: ["/api/v1/users", "/api/v1/products"]
                duration: "1m"
                concurrency: 10
                output: "api_benchmark.json"
            }
            
            database_benchmark: {
                enabled: true
                queries: ["SELECT", "INSERT", "UPDATE", "DELETE"]
                iterations: 1000
                concurrency: 5
                output: "db_benchmark.json"
            }
            
            memory_benchmark: {
                enabled: true
                operations: ["allocation", "deallocation", "gc"]
                iterations: 10000
                output: "memory_benchmark.json"
            }
        }
    }
}

Go Integration

package main
import (
    "context"
    "fmt"
    "log"
    "net/http"
    "os"
    "runtime"
    "runtime/pprof"
    "runtime/trace"
    "sync"
    "time"
    
    "github.com/prometheus/client_golang/prometheus"
    "github.com/prometheus/client_golang/prometheus/promhttp"
    "github.com/tusklang/go-sdk"
)
type PerformanceConfig struct {
    Profiling    ProfilingConfig    tsk:"profiling"
    Optimization OptimizationConfig tsk:"optimization"
    Monitoring   MonitoringConfig   tsk:"monitoring"
    Benchmarking BenchmarkingConfig tsk:"benchmarking"
}
type ProfilingConfig struct {
    Enabled bool           tsk:"enabled"
    CPU     CPUProfile     tsk:"cpu"
    Memory  MemoryProfile  tsk:"memory"
    Goroutine GoroutineProfile tsk:"goroutine"
    Block   BlockProfile   tsk:"block"
    Mutex   MutexProfile   tsk:"mutex"
}
type CPUProfile struct {
    Enabled   bool   tsk:"enabled"
    Duration  string tsk:"duration"
    Output    string tsk:"output"
    Frequency int    tsk:"frequency"
}
type MemoryProfile struct {
    Enabled      bool   tsk:"enabled"
    Output       string tsk:"output"
    Rate         int    tsk:"rate"
    AllocSpace   bool   tsk:"alloc_space"
    AllocObjects bool   tsk:"alloc_objects"
    InuseSpace   bool   tsk:"inuse_space"
    InuseObjects bool   tsk:"inuse_objects"
}
type GoroutineProfile struct {
    Enabled bool   tsk:"enabled"
    Output  string tsk:"output"
    Debug   int    tsk:"debug"
}
type BlockProfile struct {
    Enabled bool   tsk:"enabled"
    Output  string tsk:"output"
    Rate    int    tsk:"rate"
}
type MutexProfile struct {
    Enabled bool   tsk:"enabled"
    Output  string tsk:"output"
    Rate    int    tsk:"rate"
}
type OptimizationConfig struct {
    GC          GCConfig          tsk:"gc"
    Memory      MemoryConfig      tsk:"memory"
    Concurrency ConcurrencyConfig tsk:"concurrency"
    Caching     CachingConfig     tsk:"caching"
}
type GCConfig struct {
    Enabled          bool   tsk:"enabled"
    TargetPercentage int    tsk:"target_percentage"
    MaxPercentage    int    tsk:"max_percentage"
    MinHeapSize      string tsk:"min_heap_size"
    MaxHeapSize      string tsk:"max_heap_size"
}
type MemoryConfig struct {
    Enabled      bool   tsk:"enabled"
    Preallocate  bool   tsk:"preallocate"
    PoolSize     int    tsk:"pool_size"
    MaxIdle      int    tsk:"max_idle"
    MaxLifetime  string tsk:"max_lifetime"
}
type ConcurrencyConfig struct {
    Enabled        bool   tsk:"enabled"
    MaxGoroutines  int    tsk:"max_goroutines"
    WorkerPoolSize int    tsk:"worker_pool_size"
    QueueSize      int    tsk:"queue_size"
    Timeout        string tsk:"timeout"
}
type CachingConfig struct {
    Enabled     bool   tsk:"enabled"
    Strategy    string tsk:"strategy"
    MaxSize     int    tsk:"max_size"
    TTL         string tsk:"ttl"
    Compression bool   tsk:"compression"
}
type MonitoringConfig struct {
    Metrics MetricsConfig tsk:"metrics"
    Alerts  AlertsConfig  tsk:"alerts"
}
type MetricsConfig struct {
    Enabled bool                 tsk:"enabled"
    Interval string              tsk:"interval"
    Runtime bool                 tsk:"runtime"
    Custom  bool                 tsk:"custom"
    Export  map[string]ExportConfig tsk:"export"
}
type ExportConfig struct {
    Enabled bool                   tsk:"enabled"
    Config  map[string]interface{} tsk:",inline"
}
type AlertsConfig struct {
    Enabled    bool                    tsk:"enabled"
    Thresholds map[string]interface{}  tsk:"thresholds"
    Channels   map[string]ChannelConfig tsk:"channels"
}
type ChannelConfig struct {
    Enabled bool                   tsk:"enabled"
    Config  map[string]interface{} tsk:",inline"
}
type BenchmarkingConfig struct {
    Enabled bool                    tsk:"enabled"
    Suites  map[string]BenchmarkSuite tsk:"suites"
}
type BenchmarkSuite struct {
    Enabled      bool                   tsk:"enabled"
    Config       map[string]interface{} tsk:",inline"
}
type PerformanceManager struct {
    config      PerformanceConfig
    profiler    *Profiler
    optimizer   *Optimizer
    monitor     *Monitor
    benchmarker *Benchmarker
}
type Profiler struct {
    config ProfilingConfig
    files  map[string]*os.File
}
type Optimizer struct {
    config OptimizationConfig
    pools  map[string]*sync.Pool
    cache  *Cache
}
type Monitor struct {
    config  MonitoringConfig
    metrics *MetricsCollector
    alerter *Alerter
}
type Benchmarker struct {
    config BenchmarkingConfig
    results map[string]BenchmarkResult
}
type MetricsCollector struct {
    cpuUsage       prometheus.Gauge
    memoryUsage    prometheus.Gauge
    goroutineCount prometheus.Gauge
    gcDuration     prometheus.Histogram
    customMetrics  map[string]prometheus.Collector
}
type Alerter struct {
    config AlertsConfig
    channels map[string]AlertChannel
}
type AlertChannel interface {
    SendAlert(severity, message string) error
}
type Cache struct {
    data map[string]cacheItem
    mu   sync.RWMutex
    maxSize int
    ttl    time.Duration
}
type cacheItem struct {
    value      interface{}
    expiration time.Time
}
type BenchmarkResult struct {
    Name       string            json:"name"
    Duration   time.Duration     json:"duration"
    Operations int64             json:"operations"
    Metrics    map[string]float64 json:"metrics"
}
func main() {
    // Load performance configuration
    config, err := tusk.LoadFile("performance-config.tsk")
    if err != nil {
        log.Fatalf("Error loading performance config: %v", err)
    }
    
    var perfConfig PerformanceConfig
    if err := config.Get("performance", &perfConfig); err != nil {
        log.Fatalf("Error parsing performance config: %v", err)
    }
    
    // Initialize performance manager
    perfManager := NewPerformanceManager(perfConfig)
    defer perfManager.Cleanup()
    
    // Start profiling if enabled
    if perfConfig.Profiling.Enabled {
        perfManager.StartProfiling()
        defer perfManager.StopProfiling()
    }
    
    // Start monitoring
    if perfConfig.Monitoring.Metrics.Enabled {
        perfManager.StartMonitoring()
    }
    
    // Run benchmarks if requested
    if os.Getenv("RUN_BENCHMARKS") == "true" {
        perfManager.RunBenchmarks()
    }
    
    // Start HTTP server
    mux := http.NewServeMux()
    mux.HandleFunc("/", perfManager.withPerformanceMonitoring(handleHome))
    mux.HandleFunc("/api/users", perfManager.withPerformanceMonitoring(handleUsers))
    
    // Add metrics endpoint
    if perfConfig.Monitoring.Metrics.Enabled {
        mux.Handle("/metrics", promhttp.Handler())
    }
    
    log.Println("Server starting on :8080")
    log.Fatal(http.ListenAndServe(":8080", mux))
}
func NewPerformanceManager(config PerformanceConfig) *PerformanceManager {
    manager := &PerformanceManager{
        config: config,
    }
    
    // Initialize profiler
    if config.Profiling.Enabled {
        manager.profiler = NewProfiler(config.Profiling)
    }
    
    // Initialize optimizer
    manager.optimizer = NewOptimizer(config.Optimization)
    
    // Initialize monitor
    if config.Monitoring.Metrics.Enabled {
        manager.monitor = NewMonitor(config.Monitoring)
    }
    
    // Initialize benchmarker
    if config.Benchmarking.Enabled {
        manager.benchmarker = NewBenchmarker(config.Benchmarking)
    }
    
    return manager
}
func NewProfiler(config ProfilingConfig) *Profiler {
    return &Profiler{
        config: config,
        files:  make(map[string]*os.File),
    }
}
func (p *Profiler) StartProfiling() error {
    // Start CPU profiling
    if p.config.CPU.Enabled {
        if err := p.startCPUProfiling(); err != nil {
            return err
        }
    }
    
    // Start memory profiling
    if p.config.Memory.Enabled {
        if err := p.startMemoryProfiling(); err != nil {
            return err
        }
    }
    
    // Start goroutine profiling
    if p.config.Goroutine.Enabled {
        if err := p.startGoroutineProfiling(); err != nil {
            return err
        }
    }
    
    // Start block profiling
    if p.config.Block.Enabled {
        runtime.SetBlockProfileRate(p.config.Block.Rate)
    }
    
    // Start mutex profiling
    if p.config.Mutex.Enabled {
        runtime.SetMutexProfileFraction(p.config.Mutex.Rate)
    }
    
    return nil
}
func (p *Profiler) StopProfiling() error {
    // Stop CPU profiling
    if p.config.CPU.Enabled {
        pprof.StopCPUProfile()
    }
    
    // Write memory profile
    if p.config.Memory.Enabled {
        if file, err := os.Create(p.config.Memory.Output); err == nil {
            pprof.WriteHeapProfile(file)
            file.Close()
        }
    }
    
    // Write goroutine profile
    if p.config.Goroutine.Enabled {
        if file, err := os.Create(p.config.Goroutine.Output); err == nil {
            pprof.Lookup("goroutine").WriteTo(file, p.config.Goroutine.Debug)
            file.Close()
        }
    }
    
    // Write block profile
    if p.config.Block.Enabled {
        if file, err := os.Create(p.config.Block.Output); err == nil {
            pprof.Lookup("block").WriteTo(file, 0)
            file.Close()
        }
    }
    
    // Write mutex profile
    if p.config.Mutex.Enabled {
        if file, err := os.Create(p.config.Mutex.Output); err == nil {
            pprof.Lookup("mutex").WriteTo(file, 0)
            file.Close()
        }
    }
    
    return nil
}
func (p *Profiler) startCPUProfiling() error {
    file, err := os.Create(p.config.CPU.Output)
    if err != nil {
        return err
    }
    
    p.files["cpu"] = file
    pprof.StartCPUProfile(file)
    
    // Stop CPU profiling after duration
    if duration, err := time.ParseDuration(p.config.CPU.Duration); err == nil {
        go func() {
            time.Sleep(duration)
            pprof.StopCPUProfile()
        }()
    }
    
    return nil
}
func (p *Profiler) startMemoryProfiling() error {
    if p.config.Memory.Rate > 0 {
        runtime.MemProfileRate = p.config.Memory.Rate
    }
    return nil
}
func (p *Profiler) startGoroutineProfiling() error {
    // Goroutine profiling is enabled by setting the rate
    return nil
}
func NewOptimizer(config OptimizationConfig) *Optimizer {
    optimizer := &Optimizer{
        config: config,
        pools:  make(map[string]*sync.Pool),
        cache:  NewCache(config.Caching),
    }
    
    // Configure GC
    if config.GC.Enabled {
        optimizer.configureGC()
    }
    
    // Configure memory pools
    if config.Memory.Enabled {
        optimizer.configureMemoryPools()
    }
    
    return optimizer
}
func (o *Optimizer) configureGC() {
    // Set GC target percentage
    if o.config.GC.TargetPercentage > 0 {
        runtime.GOMAXPROCS(runtime.NumCPU())
    }
    
    // Set memory limits (simplified)
    if o.config.GC.MinHeapSize != "" {
        // Parse and set minimum heap size
    }
    
    if o.config.GC.MaxHeapSize != "" {
        // Parse and set maximum heap size
    }
}
func (o *Optimizer) configureMemoryPools() {
    // Create object pools for frequently allocated objects
    o.pools["buffer"] = &sync.Pool{
        New: func() interface{} {
            return make([]byte, 0, 1024)
        },
    }
    
    o.pools["user"] = &sync.Pool{
        New: func() interface{} {
            return &User{}
        },
    }
}
func (o *Optimizer) GetBuffer() []byte {
    if pool, exists := o.pools["buffer"]; exists {
        return pool.Get().([]byte)
    }
    return make([]byte, 0, 1024)
}
func (o *Optimizer) PutBuffer(buf []byte) {
    if pool, exists := o.pools["buffer"]; exists {
        buf = buf[:0] // Reset slice
        pool.Put(buf)
    }
}
func NewCache(config CachingConfig) *Cache {
    ttl, _ := time.ParseDuration(config.TTL)
    return &Cache{
        data:    make(map[string]cacheItem),
        maxSize: config.MaxSize,
        ttl:     ttl,
    }
}
func (c *Cache) Get(key string) (interface{}, bool) {
    c.mu.RLock()
    defer c.mu.RUnlock()
    
    item, exists := c.data[key]
    if !exists {
        return nil, false
    }
    
    if time.Now().After(item.expiration) {
        delete(c.data, key)
        return nil, false
    }
    
    return item.value, true
}
func (c *Cache) Set(key string, value interface{}) {
    c.mu.Lock()
    defer c.mu.Unlock()
    
    // Check size limit
    if len(c.data) >= c.maxSize {
        c.evictOldest()
    }
    
    c.data[key] = cacheItem{
        value:      value,
        expiration: time.Now().Add(c.ttl),
    }
}
func (c *Cache) evictOldest() {
    var oldestKey string
    var oldestTime time.Time
    
    for key, item := range c.data {
        if oldestKey == "" || item.expiration.Before(oldestTime) {
            oldestKey = key
            oldestTime = item.expiration
        }
    }
    
    if oldestKey != "" {
        delete(c.data, oldestKey)
    }
}
func NewMonitor(config MonitoringConfig) *Monitor {
    monitor := &Monitor{
        config: config,
    }
    
    if config.Metrics.Enabled {
        monitor.metrics = NewMetricsCollector()
    }
    
    if config.Alerts.Enabled {
        monitor.alerter = NewAlerter(config.Alerts)
    }
    
    return monitor
}
func NewMetricsCollector() *MetricsCollector {
    collector := &MetricsCollector{
        customMetrics: make(map[string]prometheus.Collector),
    }
    
    // Runtime metrics
    collector.cpuUsage = prometheus.NewGauge(prometheus.GaugeOpts{
        Name: "cpu_usage_percent",
        Help: "CPU usage percentage",
    })
    
    collector.memoryUsage = prometheus.NewGauge(prometheus.GaugeOpts{
        Name: "memory_usage_bytes",
        Help: "Memory usage in bytes",
    })
    
    collector.goroutineCount = prometheus.NewGauge(prometheus.GaugeOpts{
        Name: "goroutine_count",
        Help: "Number of goroutines",
    })
    
    collector.gcDuration = prometheus.NewHistogram(prometheus.HistogramOpts{
        Name:    "gc_duration_seconds",
        Help:    "GC duration in seconds",
        Buckets: prometheus.DefBuckets,
    })
    
    // Register metrics
    prometheus.MustRegister(
        collector.cpuUsage,
        collector.memoryUsage,
        collector.goroutineCount,
        collector.gcDuration,
    )
    
    return collector
}
func (mc *MetricsCollector) UpdateMetrics() {
    var m runtime.MemStats
    runtime.ReadMemStats(&m)
    
    // Update memory usage
    mc.memoryUsage.Set(float64(m.Alloc))
    
    // Update goroutine count
    mc.goroutineCount.Set(float64(runtime.NumGoroutine()))
    
    // Update GC metrics
    mc.gcDuration.Observe(float64(m.PauseNs[(m.NumGC+255)%256]) / 1e9)
}
func NewAlerter(config AlertsConfig) *Alerter {
    alerter := &Alerter{
        config:   config,
        channels: make(map[string]AlertChannel),
    }
    
    // Initialize alert channels
    for name, channelConfig := range config.Channels {
        if channelConfig.Enabled {
            switch name {
            case "slack":
                alerter.channels[name] = NewSlackChannel(channelConfig.Config)
            case "email":
                alerter.channels[name] = NewEmailChannel(channelConfig.Config)
            }
        }
    }
    
    return alerter
}
func (a *Alerter) CheckThresholds(metrics map[string]float64) {
    for metric, value := range metrics {
        if threshold, exists := a.config.Thresholds[metric]; exists {
            if value > threshold.(float64) {
                a.sendAlert("warning", fmt.Sprintf("%s exceeded threshold: %.2f", metric, value))
            }
        }
    }
}
func (a *Alerter) sendAlert(severity, message string) {
    for _, channel := range a.channels {
        channel.SendAlert(severity, message)
    }
}
type SlackChannel struct {
    webhook string
    channel string
}
func NewSlackChannel(config map[string]interface{}) *SlackChannel {
    return &SlackChannel{
        webhook: config["webhook"].(string),
        channel: config["channel"].(string),
    }
}
func (sc *SlackChannel) SendAlert(severity, message string) error {
    // Implement Slack alert sending
    return nil
}
type EmailChannel struct {
    smtp       string
    recipients []string
}
func NewEmailChannel(config map[string]interface{}) *EmailChannel {
    return &EmailChannel{
        smtp:       config["smtp"].(string),
        recipients: config["recipients"].([]string),
    }
}
func (ec *EmailChannel) SendAlert(severity, message string) error {
    // Implement email alert sending
    return nil
}
func NewBenchmarker(config BenchmarkingConfig) *Benchmarker {
    return &Benchmarker{
        config:  config,
        results: make(map[string]BenchmarkResult),
    }
}
func (b *Benchmarker) RunBenchmarks() error {
    for name, suite := range b.config.Suites {
        if suite.Enabled {
            if err := b.runBenchmarkSuite(name, suite); err != nil {
                return err
            }
        }
    }
    return nil
}
func (b *Benchmarker) runBenchmarkSuite(name string, suite BenchmarkSuite) error {
    // Implement benchmark suite execution
    log.Printf("Running benchmark suite: %s", name)
    return nil
}
// Performance monitoring middleware
func (pm *PerformanceManager) withPerformanceMonitoring(handler http.HandlerFunc) http.HandlerFunc {
    return func(w http.ResponseWriter, r *http.Request) {
        start := time.Now()
        
        // Execute handler
        handler(w, r)
        
        // Update metrics
        if pm.monitor != nil && pm.monitor.metrics != nil {
            pm.monitor.metrics.UpdateMetrics()
        }
        
        // Check thresholds
        if pm.monitor != nil && pm.monitor.alerter != nil {
            metrics := map[string]float64{
                "cpu_usage":     pm.getCPUUsage(),
                "memory_usage":  pm.getMemoryUsage(),
                "goroutine_count": float64(runtime.NumGoroutine()),
            }
            pm.monitor.alerter.CheckThresholds(metrics)
        }
    }
}
func (pm *PerformanceManager) getCPUUsage() float64 {
    // Implement CPU usage calculation
    return 50.0 // Example value
}
func (pm *PerformanceManager) getMemoryUsage() float64 {
    var m runtime.MemStats
    runtime.ReadMemStats(&m)
    return float64(m.Alloc)
}
func (pm *PerformanceManager) Cleanup() {
    if pm.profiler != nil {
        pm.profiler.StopProfiling()
    }
}
// Handler functions
func handleHome(w http.ResponseWriter, r *http.Request) {
    w.Write([]byte("Welcome to the API!"))
}
func handleUsers(w http.ResponseWriter, r *http.Request) {
    w.Header().Set("Content-Type", "application/json")
    w.Write([]byte({"users": []}))
}

Advanced Performance Features

Custom Profiling

// TuskLang configuration with custom profiling
performance: {
    custom_profiling: {
        enabled: true
        profiles: {
            database_queries: {
                enabled: true
                output: "db_queries.prof"
                threshold: "100ms"
            }
            
            http_requests: {
                enabled: true
                output: "http_requests.prof"
                threshold: "500ms"
            }
            
            memory_allocation: {
                enabled: true
                output: "memory_allocation.prof"
                track_objects: true
            }
        }
    }
}

Performance Testing

// TuskLang configuration with performance testing
performance: {
    testing: {
        enabled: true
        scenarios: {
            load_test: {
                duration: "5m"
                users: 100
                ramp_up: "1m"
                target: "http://localhost:8080"
            }
            
            stress_test: {
                duration: "10m"
                users: 500
                ramp_up: "2m"
                target: "http://localhost:8080"
            }
            
            spike_test: {
                duration: "3m"
                users: 1000
                spike_duration: "30s"
                target: "http://localhost:8080"
            }
        }
    }
}

Performance Considerations

- Profiling Overhead: Minimize profiling overhead in production - Memory Management: Use efficient memory allocation patterns - Concurrency: Optimize goroutine usage and synchronization - Caching: Implement effective caching strategies - Monitoring: Use lightweight monitoring in production

Security Notes

- Profiling Data: Secure profiling data and prevent exposure - Metrics Security: Protect metrics endpoints from unauthorized access - Alert Channels: Secure alert channel configurations - Benchmark Data: Protect benchmark results and performance data - Access Control: Implement proper access control for performance tools

Best Practices

1. Baseline Measurement: Establish performance baselines 2. Incremental Optimization: Optimize incrementally and measure impact 3. Production Monitoring: Monitor performance in production environments 4. Resource Management: Manage resources efficiently 5. Documentation: Document performance characteristics and optimizations 6. Testing: Test performance optimizations thoroughly

Integration Examples

With pprof

import (
    "net/http"
    _ "net/http/pprof"
    "github.com/tusklang/go-sdk"
)
func setupPprof(config tusk.Config) {
    var perfConfig PerformanceConfig
    config.Get("performance", &perfConfig)
    
    if perfConfig.Profiling.Enabled {
        go func() {
            log.Println(http.ListenAndServe("localhost:6060", nil))
        }()
    }
}

With Prometheus

import (
    "github.com/prometheus/client_golang/prometheus"
    "github.com/prometheus/client_golang/prometheus/promhttp"
    "github.com/tusklang/go-sdk"
)
func setupPrometheus(config tusk.Config) {
    var perfConfig PerformanceConfig
    config.Get("performance", &perfConfig)
    
    if perfConfig.Monitoring.Metrics.Enabled {
        // Register custom metrics
        prometheus.MustRegister(customMetrics...)
    }
}

This comprehensive performance optimization documentation provides Go developers with everything they need to build high-performance applications using TuskLang's powerful configuration capabilities.