Scaling Applications in TuskLang for Go

Overview

Scaling applications in TuskLang provides powerful scaling configuration and automation capabilities directly in your configuration files. These features enable you to define sophisticated scaling strategies, auto-scaling policies, and resource management with Go integration for high-performance, scalable applications.

Basic Scaling Configuration

// TuskLang scaling configuration
scaling: {
    strategies: {
        horizontal: {
            enabled: true
            min_replicas: 2
            max_replicas: 20
            target_cpu_utilization: 70
            target_memory_utilization: 80
            scale_up_cooldown: "3m"
            scale_down_cooldown: "5m"
            
            metrics: {
                cpu: {
                    enabled: true
                    target: 70
                    window: "5m"
                }
                
                memory: {
                    enabled: true
                    target: 80
                    window: "5m"
                }
                
                custom: {
                    enabled: true
                    metrics: {
                        requests_per_second: {
                            target: 1000
                            window: "2m"
                        }
                        
                        error_rate: {
                            target: 5.0
                            window: "5m"
                        }
                        
                        response_time: {
                            target: "500ms"
                            window: "3m"
                        }
                    }
                }
            }
        }
        
        vertical: {
            enabled: true
            cpu: {
                min: "100m"
                max: "2"
                step: "200m"
            }
            
            memory: {
                min: "128Mi"
                max: "4Gi"
                step: "256Mi"
            }
            
            triggers: {
                cpu_threshold: 80
                memory_threshold: 85
                check_interval: "30s"
            }
        }
        
        database: {
            enabled: true
            read_replicas: {
                enabled: true
                min: 1
                max: 5
                target_load: 60
            }
            
            connection_pooling: {
                enabled: true
                min_connections: 5
                max_connections: 50
                idle_timeout: "5m"
            }
        }
    }
    
    load_balancing: {
        enabled: true
        algorithm: "round_robin"
        
        health_checks: {
            enabled: true
            path: "/health"
            interval: "30s"
            timeout: "5s"
            healthy_threshold: 2
            unhealthy_threshold: 3
        }
        
        session_affinity: {
            enabled: true
            type: "cookie"
            timeout: "1h"
        }
        
        ssl_termination: {
            enabled: true
            certificate: "@env('SSL_CERT_PATH')"
            private_key: "@env('SSL_KEY_PATH')"
        }
    }
    
    caching: {
        distributed: {
            enabled: true
            provider: "redis"
            nodes: ["redis-1:6379", "redis-2:6379", "redis-3:6379"]
            replication: true
            sharding: true
        }
        
        local: {
            enabled: true
            max_size: 10000
            ttl: "1h"
            eviction_policy: "lru"
        }
        
        cdn: {
            enabled: true
            provider: "cloudflare"
            domains: ["cdn.example.com"]
            cache_rules: {
                static_assets: {
                    ttl: "1d"
                    headers: ["Cache-Control: public, max-age=86400"]
                }
                
                api_responses: {
                    ttl: "5m"
                    headers: ["Cache-Control: private, max-age=300"]
                }
            }
        }
    }
    
    monitoring: {
        enabled: true
        metrics: {
            collection: {
                interval: "10s"
                retention: "30d"
            }
            
            aggregation: {
                enabled: true
                functions: ["avg", "min", "max", "p95", "p99"]
                windows: ["1m", "5m", "15m", "1h"]
            }
        }
        
        alerts: {
            enabled: true
            rules: {
                high_cpu: {
                    condition: "cpu_usage > 80"
                    duration: "5m"
                    severity: "warning"
                }
                
                high_memory: {
                    condition: "memory_usage > 85"
                    duration: "3m"
                    severity: "critical"
                }
                
                high_error_rate: {
                    condition: "error_rate > 5"
                    duration: "2m"
                    severity: "critical"
                }
            }
            
            notifications: {
                slack: {
                    enabled: true
                    webhook: "@env('SLACK_WEBHOOK')"
                    channel: "#alerts"
                }
                
                email: {
                    enabled: true
                    smtp: "@env('SMTP_URL')"
                    recipients: ["ops@example.com"]
                }
            }
        }
    }
    
    optimization: {
        enabled: true
        techniques: {
            connection_pooling: {
                enabled: true
                max_connections: 100
                idle_timeout: "5m"
                max_lifetime: "1h"
            }
            
            request_batching: {
                enabled: true
                batch_size: 100
                batch_timeout: "100ms"
            }
            
            response_compression: {
                enabled: true
                algorithms: ["gzip", "brotli"]
                min_size: 1024
            }
            
            caching_strategies: {
                enabled: true
                strategies: ["write_through", "write_behind", "cache_aside"]
            }
        }
    }
}

Go Integration

package main
import (
    "context"
    "fmt"
    "log"
    "net/http"
    "sync"
    "time"
    
    "github.com/prometheus/client_golang/prometheus"
    "github.com/prometheus/client_golang/prometheus/promhttp"
    "github.com/tusklang/go-sdk"
)
type ScalingConfig struct {
    Strategies    map[string]StrategyConfig tsk:"strategies"
    LoadBalancing LoadBalancingConfig      tsk:"load_balancing"
    Caching       CachingConfig            tsk:"caching"
    Monitoring    MonitoringConfig         tsk:"monitoring"
    Optimization  OptimizationConfig       tsk:"optimization"
}
type StrategyConfig struct {
    Enabled bool                   tsk:"enabled"
    Config  map[string]interface{} tsk:",inline"
}
type LoadBalancingConfig struct {
    Enabled        bool                tsk:"enabled"
    Algorithm      string              tsk:"algorithm"
    HealthChecks   HealthCheckConfig   tsk:"health_checks"
    SessionAffinity SessionAffinityConfig tsk:"session_affinity"
    SSLTermination SSLTerminationConfig tsk:"ssl_termination"
}
type HealthCheckConfig struct {
    Enabled              bool   tsk:"enabled"
    Path                 string tsk:"path"
    Interval             string tsk:"interval"
    Timeout              string tsk:"timeout"
    HealthyThreshold     int    tsk:"healthy_threshold"
    UnhealthyThreshold   int    tsk:"unhealthy_threshold"
}
type SessionAffinityConfig struct {
    Enabled bool   tsk:"enabled"
    Type    string tsk:"type"
    Timeout string tsk:"timeout"
}
type SSLTerminationConfig struct {
    Enabled      bool   tsk:"enabled"
    Certificate  string tsk:"certificate"
    PrivateKey   string tsk:"private_key"
}
type CachingConfig struct {
    Distributed DistributedCacheConfig tsk:"distributed"
    Local       LocalCacheConfig       tsk:"local"
    CDN         CDNConfig              tsk:"cdn"
}
type DistributedCacheConfig struct {
    Enabled     bool     tsk:"enabled"
    Provider    string   tsk:"provider"
    Nodes       []string tsk:"nodes"
    Replication bool     tsk:"replication"
    Sharding    bool     tsk:"sharding"
}
type LocalCacheConfig struct {
    Enabled        bool   tsk:"enabled"
    MaxSize        int    tsk:"max_size"
    TTL            string tsk:"ttl"
    EvictionPolicy string tsk:"eviction_policy"
}
type CDNConfig struct {
    Enabled    bool                   tsk:"enabled"
    Provider   string                 tsk:"provider"
    Domains    []string               tsk:"domains"
    CacheRules map[string]CacheRule   tsk:"cache_rules"
}
type CacheRule struct {
    TTL     string   tsk:"ttl"
    Headers []string tsk:"headers"
}
type MonitoringConfig struct {
    Enabled bool                tsk:"enabled"
    Metrics MetricsConfig       tsk:"metrics"
    Alerts  AlertsConfig        tsk:"alerts"
}
type MetricsConfig struct {
    Collection  CollectionConfig  tsk:"collection"
    Aggregation AggregationConfig tsk:"aggregation"
}
type CollectionConfig struct {
    Interval  string tsk:"interval"
    Retention string tsk:"retention"
}
type AggregationConfig struct {
    Enabled  bool     tsk:"enabled"
    Functions []string tsk:"functions"
    Windows  []string tsk:"windows"
}
type AlertsConfig struct {
    Enabled       bool                    tsk:"enabled"
    Rules         map[string]AlertRule    tsk:"rules"
    Notifications map[string]Notification tsk:"notifications"
}
type AlertRule struct {
    Condition string tsk:"condition"
    Duration  string tsk:"duration"
    Severity  string tsk:"severity"
}
type Notification struct {
    Enabled bool                   tsk:"enabled"
    Config  map[string]interface{} tsk:",inline"
}
type OptimizationConfig struct {
    Enabled    bool                    tsk:"enabled"
    Techniques map[string]TechniqueConfig tsk:"techniques"
}
type TechniqueConfig struct {
    Enabled bool                   tsk:"enabled"
    Config  map[string]interface{} tsk:",inline"
}
type ScalingManager struct {
    config       ScalingConfig
    strategies   map[string]ScalingStrategy
    loadBalancer *LoadBalancer
    cache        *CacheManager
    monitor      *Monitor
    optimizer    *Optimizer
}
type ScalingStrategy interface {
    Scale() error
    GetStatus() ScalingStatus
    GetMetrics() map[string]float64
}
type HorizontalScalingStrategy struct {
    config HorizontalScalingConfig
    metrics *MetricsCollector
    replicas int
}
type HorizontalScalingConfig struct {
    MinReplicas              int                    json:"min_replicas"
    MaxReplicas              int                    json:"max_replicas"
    TargetCPUUtilization     int                    json:"target_cpu_utilization"
    TargetMemoryUtilization  int                    json:"target_memory_utilization"
    ScaleUpCooldown          string                 json:"scale_up_cooldown"
    ScaleDownCooldown        string                 json:"scale_down_cooldown"
    Metrics                  map[string]MetricConfig json:"metrics"
}
type MetricConfig struct {
    Enabled bool    json:"enabled"
    Target  float64 json:"target"
    Window  string  json:"window"
}
type VerticalScalingStrategy struct {
    config VerticalScalingConfig
    currentResources ResourceConfig
}
type VerticalScalingConfig struct {
    CPU      CPUScalingConfig      json:"cpu"
    Memory   MemoryScalingConfig   json:"memory"
    Triggers ScalingTriggers       json:"triggers"
}
type CPUScalingConfig struct {
    Min  string json:"min"
    Max  string json:"max"
    Step string json:"step"
}
type MemoryScalingConfig struct {
    Min  string json:"min"
    Max  string json:"max"
    Step string json:"step"
}
type ScalingTriggers struct {
    CPUThreshold    int    json:"cpu_threshold"
    MemoryThreshold int    json:"memory_threshold"
    CheckInterval   string json:"check_interval"
}
type ResourceConfig struct {
    CPU    string json:"cpu"
    Memory string json:"memory"
}
type DatabaseScalingStrategy struct {
    config DatabaseScalingConfig
    pool   *ConnectionPool
}
type DatabaseScalingConfig struct {
    ReadReplicas      ReadReplicaConfig json:"read_replicas"
    ConnectionPooling PoolConfig        json:"connection_pooling"
}
type ReadReplicaConfig struct {
    Enabled   bool json:"enabled"
    Min       int  json:"min"
    Max       int  json:"max"
    TargetLoad int  json:"target_load"
}
type PoolConfig struct {
    Enabled        bool   json:"enabled"
    MinConnections int    json:"min_connections"
    MaxConnections int    json:"max_connections"
    IdleTimeout    string json:"idle_timeout"
}
type LoadBalancer struct {
    config LoadBalancingConfig
    nodes  []*Node
    mu     sync.RWMutex
}
type Node struct {
    ID       string
    URL      string
    Healthy  bool
    Weight   int
    LastSeen time.Time
}
type CacheManager struct {
    config ScalingConfig
    distributed *DistributedCache
    local       *LocalCache
    cdn         *CDNManager
}
type DistributedCache struct {
    config DistributedCacheConfig
    nodes  []string
}
type LocalCache struct {
    config LocalCacheConfig
    data   map[string]cacheItem
    mu     sync.RWMutex
}
type cacheItem struct {
    value      interface{}
    expiration time.Time
}
type CDNManager struct {
    config CDNConfig
}
type Monitor struct {
    config MonitoringConfig
    metrics *MetricsCollector
    alerter *Alerter
}
type MetricsCollector struct {
    cpuUsage       prometheus.Gauge
    memoryUsage    prometheus.Gauge
    requestRate    prometheus.Counter
    errorRate      prometheus.Counter
    responseTime   prometheus.Histogram
    customMetrics  map[string]prometheus.Collector
}
type Alerter struct {
    config AlertsConfig
    rules  map[string]AlertRule
}
type Optimizer struct {
    config OptimizationConfig
    techniques map[string]OptimizationTechnique
}
type OptimizationTechnique interface {
    Apply() error
    GetStatus() OptimizationStatus
}
type ConnectionPoolingTechnique struct {
    config map[string]interface{}
    pool   *ConnectionPool
}
type RequestBatchingTechnique struct {
    config map[string]interface{}
    batches map[string][]interface{}
    mu      sync.Mutex
}
type ResponseCompressionTechnique struct {
    config map[string]interface{}
}
type CachingStrategiesTechnique struct {
    config map[string]interface{}
    strategies map[string]CachingStrategy
}
type CachingStrategy interface {
    Get(key string) (interface{}, bool)
    Set(key string, value interface{}) error
    Delete(key string) error
}
type ScalingStatus struct {
    Status    string            json:"status"
    Message   string            json:"message"
    Timestamp time.Time         json:"timestamp"
    Metrics   map[string]float64 json:"metrics"
}
type OptimizationStatus struct {
    Technique string    json:"technique"
    Status    string    json:"status"
    Message   string    json:"message"
    Timestamp time.Time json:"timestamp"
}
type ConnectionPool struct {
    config PoolConfig
    connections chan interface{}
    mu          sync.Mutex
}
func main() {
    // Load scaling configuration
    config, err := tusk.LoadFile("scaling-config.tsk")
    if err != nil {
        log.Fatalf("Error loading scaling config: %v", err)
    }
    
    var scalingConfig ScalingConfig
    if err := config.Get("scaling", &scalingConfig); err != nil {
        log.Fatalf("Error parsing scaling config: %v", err)
    }
    
    // Initialize scaling manager
    scalingManager := NewScalingManager(scalingConfig)
    
    // Start scaling manager
    if err := scalingManager.Start(); err != nil {
        log.Fatalf("Error starting scaling manager: %v", err)
    }
    defer scalingManager.Stop()
    
    // Start HTTP server
    mux := http.NewServeMux()
    mux.HandleFunc("/", scalingManager.withLoadBalancing(handleHome))
    mux.HandleFunc("/api/users", scalingManager.withLoadBalancing(handleUsers))
    mux.HandleFunc("/health", handleHealth)
    
    // Add metrics endpoint
    if scalingConfig.Monitoring.Enabled {
        mux.Handle("/metrics", promhttp.Handler())
    }
    
    log.Println("Server starting on :8080")
    log.Fatal(http.ListenAndServe(":8080", mux))
}
func NewScalingManager(config ScalingConfig) *ScalingManager {
    manager := &ScalingManager{
        config:     config,
        strategies: make(map[string]ScalingStrategy),
    }
    
    // Initialize scaling strategies
    if horizontal, exists := config.Strategies["horizontal"]; exists && horizontal.Enabled {
        manager.strategies["horizontal"] = NewHorizontalScalingStrategy(horizontal.Config)
    }
    
    if vertical, exists := config.Strategies["vertical"]; exists && vertical.Enabled {
        manager.strategies["vertical"] = NewVerticalScalingStrategy(vertical.Config)
    }
    
    if database, exists := config.Strategies["database"]; exists && database.Enabled {
        manager.strategies["database"] = NewDatabaseScalingStrategy(database.Config)
    }
    
    // Initialize load balancer
    if config.LoadBalancing.Enabled {
        manager.loadBalancer = NewLoadBalancer(config.LoadBalancing)
    }
    
    // Initialize cache manager
    manager.cache = NewCacheManager(config)
    
    // Initialize monitor
    if config.Monitoring.Enabled {
        manager.monitor = NewMonitor(config.Monitoring)
    }
    
    // Initialize optimizer
    if config.Optimization.Enabled {
        manager.optimizer = NewOptimizer(config.Optimization)
    }
    
    return manager
}
func (sm *ScalingManager) Start() error {
    // Start monitoring
    if sm.monitor != nil {
        if err := sm.monitor.Start(); err != nil {
            return err
        }
    }
    
    // Start optimization
    if sm.optimizer != nil {
        if err := sm.optimizer.Start(); err != nil {
            return err
        }
    }
    
    // Start scaling strategies
    for name, strategy := range sm.strategies {
        go func(name string, strategy ScalingStrategy) {
            for {
                if err := strategy.Scale(); err != nil {
                    log.Printf("Error in %s scaling strategy: %v", name, err)
                }
                time.Sleep(30 * time.Second)
            }
        }(name, strategy)
    }
    
    return nil
}
func (sm *ScalingManager) Stop() error {
    // Stop monitoring
    if sm.monitor != nil {
        sm.monitor.Stop()
    }
    
    // Stop optimization
    if sm.optimizer != nil {
        sm.optimizer.Stop()
    }
    
    return nil
}
// Load balancing middleware
func (sm *ScalingManager) withLoadBalancing(handler http.HandlerFunc) http.HandlerFunc {
    return func(w http.ResponseWriter, r *http.Request) {
        if sm.loadBalancer != nil {
            // Route request through load balancer
            node := sm.loadBalancer.GetNextNode()
            if node != nil {
                // Forward request to selected node
                sm.forwardRequest(w, r, node)
                return
            }
        }
        
        // Fallback to local handler
        handler(w, r)
    }
}
func (sm ScalingManager) forwardRequest(w http.ResponseWriter, r http.Request, node *Node) {
    // Implement request forwarding
    log.Printf("Forwarding request to node: %s", node.URL)
}
// Horizontal Scaling Strategy Implementation
func NewHorizontalScalingStrategy(config map[string]interface{}) *HorizontalScalingStrategy {
    // Parse configuration
    return &HorizontalScalingStrategy{
        replicas: 2, // Default
        metrics:   NewMetricsCollector(),
    }
}
func (hs *HorizontalScalingStrategy) Scale() error {
    // Get current metrics
    metrics := hs.GetMetrics()
    
    // Check if scaling is needed
    if hs.shouldScaleUp(metrics) {
        return hs.scaleUp()
    }
    
    if hs.shouldScaleDown(metrics) {
        return hs.scaleDown()
    }
    
    return nil
}
func (hs *HorizontalScalingStrategy) GetStatus() ScalingStatus {
    return ScalingStatus{
        Status:    "active",
        Message:   fmt.Sprintf("Current replicas: %d", hs.replicas),
        Timestamp: time.Now(),
        Metrics:   hs.GetMetrics(),
    }
}
func (hs *HorizontalScalingStrategy) GetMetrics() map[string]float64 {
    return map[string]float64{
        "cpu_usage":     hs.metrics.getCPUUsage(),
        "memory_usage":  hs.metrics.getMemoryUsage(),
        "request_rate":  hs.metrics.getRequestRate(),
        "error_rate":    hs.metrics.getErrorRate(),
    }
}
func (hs *HorizontalScalingStrategy) shouldScaleUp(metrics map[string]float64) bool {
    // Check if scaling up is needed based on metrics
    return metrics["cpu_usage"] > float64(hs.config.TargetCPUUtilization) ||
           metrics["memory_usage"] > float64(hs.config.TargetMemoryUtilization)
}
func (hs *HorizontalScalingStrategy) shouldScaleDown(metrics map[string]float64) bool {
    // Check if scaling down is needed based on metrics
    return metrics["cpu_usage"] < float64(hs.config.TargetCPUUtilization/2) &&
           metrics["memory_usage"] < float64(hs.config.TargetMemoryUtilization/2)
}
func (hs *HorizontalScalingStrategy) scaleUp() error {
    if hs.replicas < hs.config.MaxReplicas {
        hs.replicas++
        log.Printf("Scaling up to %d replicas", hs.replicas)
        // Implement actual scaling logic
    }
    return nil
}
func (hs *HorizontalScalingStrategy) scaleDown() error {
    if hs.replicas > hs.config.MinReplicas {
        hs.replicas--
        log.Printf("Scaling down to %d replicas", hs.replicas)
        // Implement actual scaling logic
    }
    return nil
}
// Vertical Scaling Strategy Implementation
func NewVerticalScalingStrategy(config map[string]interface{}) *VerticalScalingStrategy {
    return &VerticalScalingStrategy{
        currentResources: ResourceConfig{
            CPU:    "500m",
            Memory: "512Mi",
        },
    }
}
func (vs *VerticalScalingStrategy) Scale() error {
    // Implement vertical scaling logic
    return nil
}
func (vs *VerticalScalingStrategy) GetStatus() ScalingStatus {
    return ScalingStatus{
        Status:    "active",
        Message:   fmt.Sprintf("Current resources: CPU=%s, Memory=%s", vs.currentResources.CPU, vs.currentResources.Memory),
        Timestamp: time.Now(),
    }
}
func (vs *VerticalScalingStrategy) GetMetrics() map[string]float64 {
    return map[string]float64{
        "cpu_usage":    50.0,
        "memory_usage": 60.0,
    }
}
// Database Scaling Strategy Implementation
func NewDatabaseScalingStrategy(config map[string]interface{}) *DatabaseScalingStrategy {
    return &DatabaseScalingStrategy{
        pool: NewConnectionPool(PoolConfig{
            MinConnections: 5,
            MaxConnections: 50,
            IdleTimeout:    "5m",
        }),
    }
}
func (ds *DatabaseScalingStrategy) Scale() error {
    // Implement database scaling logic
    return nil
}
func (ds *DatabaseScalingStrategy) GetStatus() ScalingStatus {
    return ScalingStatus{
        Status:    "active",
        Message:   "Database scaling active",
        Timestamp: time.Now(),
    }
}
func (ds *DatabaseScalingStrategy) GetMetrics() map[string]float64 {
    return map[string]float64{
        "db_connections": 25.0,
        "db_load":        45.0,
    }
}
// Load Balancer Implementation
func NewLoadBalancer(config LoadBalancingConfig) *LoadBalancer {
    return &LoadBalancer{
        config: config,
        nodes:  make([]*Node, 0),
    }
}
func (lb LoadBalancer) GetNextNode() Node {
    lb.mu.RLock()
    defer lb.mu.RUnlock()
    
    if len(lb.nodes) == 0 {
        return nil
    }
    
    // Simple round-robin implementation
    // In a real implementation, you'd use more sophisticated algorithms
    for _, node := range lb.nodes {
        if node.Healthy {
            return node
        }
    }
    
    return nil
}
// Cache Manager Implementation
func NewCacheManager(config ScalingConfig) *CacheManager {
    manager := &CacheManager{
        config: config,
    }
    
    if config.Caching.Distributed.Enabled {
        manager.distributed = NewDistributedCache(config.Caching.Distributed)
    }
    
    if config.Caching.Local.Enabled {
        manager.local = NewLocalCache(config.Caching.Local)
    }
    
    if config.Caching.CDN.Enabled {
        manager.cdn = NewCDNManager(config.Caching.CDN)
    }
    
    return manager
}
func NewDistributedCache(config DistributedCacheConfig) *DistributedCache {
    return &DistributedCache{
        config: config,
        nodes:  config.Nodes,
    }
}
func NewLocalCache(config LocalCacheConfig) *LocalCache {
    ttl, _ := time.ParseDuration(config.TTL)
    return &LocalCache{
        config: config,
        data:   make(map[string]cacheItem),
    }
}
func (lc *LocalCache) Get(key string) (interface{}, bool) {
    lc.mu.RLock()
    defer lc.mu.RUnlock()
    
    item, exists := lc.data[key]
    if !exists {
        return nil, false
    }
    
    if time.Now().After(item.expiration) {
        delete(lc.data, key)
        return nil, false
    }
    
    return item.value, true
}
func (lc *LocalCache) Set(key string, value interface{}) error {
    lc.mu.Lock()
    defer lc.mu.Unlock()
    
    ttl, _ := time.ParseDuration(lc.config.TTL)
    lc.data[key] = cacheItem{
        value:      value,
        expiration: time.Now().Add(ttl),
    }
    
    return nil
}
func NewCDNManager(config CDNConfig) *CDNManager {
    return &CDNManager{
        config: config,
    }
}
// Monitor Implementation
func NewMonitor(config MonitoringConfig) *Monitor {
    return &Monitor{
        config:  config,
        metrics: NewMetricsCollector(),
        alerter: NewAlerter(config.Alerts),
    }
}
func (m *Monitor) Start() error {
    // Start metrics collection
    go m.collectMetrics()
    
    // Start alert monitoring
    go m.monitorAlerts()
    
    return nil
}
func (m *Monitor) Stop() error {
    // Stop monitoring
    return nil
}
func (m *Monitor) collectMetrics() {
    ticker := time.NewTicker(10 * time.Second)
    defer ticker.Stop()
    
    for range ticker.C {
        m.metrics.UpdateMetrics()
    }
}
func (m *Monitor) monitorAlerts() {
    ticker := time.NewTicker(30 * time.Second)
    defer ticker.Stop()
    
    for range ticker.C {
        m.alerter.CheckAlerts(m.metrics.GetMetrics())
    }
}
func NewMetricsCollector() *MetricsCollector {
    collector := &MetricsCollector{
        customMetrics: make(map[string]prometheus.Collector),
    }
    
    // Initialize Prometheus 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.requestRate = prometheus.NewCounter(prometheus.CounterOpts{
        Name: "requests_total",
        Help: "Total number of requests",
    })
    
    collector.errorRate = prometheus.NewCounter(prometheus.CounterOpts{
        Name: "errors_total",
        Help: "Total number of errors",
    })
    
    collector.responseTime = prometheus.NewHistogram(prometheus.HistogramOpts{
        Name:    "response_time_seconds",
        Help:    "Response time in seconds",
        Buckets: prometheus.DefBuckets,
    })
    
    // Register metrics
    prometheus.MustRegister(
        collector.cpuUsage,
        collector.memoryUsage,
        collector.requestRate,
        collector.errorRate,
        collector.responseTime,
    )
    
    return collector
}
func (mc *MetricsCollector) UpdateMetrics() {
    // Update metrics with current values
    mc.cpuUsage.Set(mc.getCPUUsage())
    mc.memoryUsage.Set(mc.getMemoryUsage())
}
func (mc *MetricsCollector) GetMetrics() map[string]float64 {
    return map[string]float64{
        "cpu_usage":    mc.getCPUUsage(),
        "memory_usage": mc.getMemoryUsage(),
        "request_rate": mc.getRequestRate(),
        "error_rate":   mc.getErrorRate(),
    }
}
func (mc *MetricsCollector) getCPUUsage() float64 {
    // Implement CPU usage measurement
    return 50.0 // Example value
}
func (mc *MetricsCollector) getMemoryUsage() float64 {
    // Implement memory usage measurement
    return 1024  1024  100 // Example value (100MB)
}
func (mc *MetricsCollector) getRequestRate() float64 {
    // Implement request rate measurement
    return 100.0 // Example value
}
func (mc *MetricsCollector) getErrorRate() float64 {
    // Implement error rate measurement
    return 2.5 // Example value
}
func NewAlerter(config AlertsConfig) *Alerter {
    return &Alerter{
        config: config,
        rules:  config.Rules,
    }
}
func (a *Alerter) CheckAlerts(metrics map[string]float64) {
    // Check alert rules against current metrics
    for ruleName, rule := range a.rules {
        if a.evaluateRule(rule, metrics) {
            a.triggerAlert(ruleName, rule)
        }
    }
}
func (a *Alerter) evaluateRule(rule AlertRule, metrics map[string]float64) bool {
    // Implement rule evaluation logic
    return false
}
func (a *Alerter) triggerAlert(ruleName string, rule AlertRule) {
    // Implement alert triggering logic
    log.Printf("Alert triggered: %s - %s", ruleName, rule.Severity)
}
// Optimizer Implementation
func NewOptimizer(config OptimizationConfig) *Optimizer {
    optimizer := &Optimizer{
        config:     config,
        techniques: make(map[string]OptimizationTechnique),
    }
    
    // Initialize optimization techniques
    for name, technique := range config.Techniques {
        if technique.Enabled {
            switch name {
            case "connection_pooling":
                optimizer.techniques[name] = NewConnectionPoolingTechnique(technique.Config)
            case "request_batching":
                optimizer.techniques[name] = NewRequestBatchingTechnique(technique.Config)
            case "response_compression":
                optimizer.techniques[name] = NewResponseCompressionTechnique(technique.Config)
            case "caching_strategies":
                optimizer.techniques[name] = NewCachingStrategiesTechnique(technique.Config)
            }
        }
    }
    
    return optimizer
}
func (o *Optimizer) Start() error {
    // Start optimization techniques
    for name, technique := range o.techniques {
        go func(name string, technique OptimizationTechnique) {
            for {
                if err := technique.Apply(); err != nil {
                    log.Printf("Error in %s optimization technique: %v", name, err)
                }
                time.Sleep(60 * time.Second)
            }
        }(name, technique)
    }
    
    return nil
}
func (o *Optimizer) Stop() error {
    // Stop optimization techniques
    return nil
}
// Optimization Techniques Implementation
func NewConnectionPoolingTechnique(config map[string]interface{}) *ConnectionPoolingTechnique {
    return &ConnectionPoolingTechnique{
        config: config,
        pool:   NewConnectionPool(PoolConfig{}),
    }
}
func (cpt *ConnectionPoolingTechnique) Apply() error {
    // Apply connection pooling optimization
    return nil
}
func (cpt *ConnectionPoolingTechnique) GetStatus() OptimizationStatus {
    return OptimizationStatus{
        Technique: "connection_pooling",
        Status:    "active",
        Message:   "Connection pooling optimization active",
        Timestamp: time.Now(),
    }
}
func NewRequestBatchingTechnique(config map[string]interface{}) *RequestBatchingTechnique {
    return &RequestBatchingTechnique{
        config:  config,
        batches: make(map[string][]interface{}),
    }
}
func (rbt *RequestBatchingTechnique) Apply() error {
    // Apply request batching optimization
    return nil
}
func (rbt *RequestBatchingTechnique) GetStatus() OptimizationStatus {
    return OptimizationStatus{
        Technique: "request_batching",
        Status:    "active",
        Message:   "Request batching optimization active",
        Timestamp: time.Now(),
    }
}
func NewResponseCompressionTechnique(config map[string]interface{}) *ResponseCompressionTechnique {
    return &ResponseCompressionTechnique{
        config: config,
    }
}
func (rct *ResponseCompressionTechnique) Apply() error {
    // Apply response compression optimization
    return nil
}
func (rct *ResponseCompressionTechnique) GetStatus() OptimizationStatus {
    return OptimizationStatus{
        Technique: "response_compression",
        Status:    "active",
        Message:   "Response compression optimization active",
        Timestamp: time.Now(),
    }
}
func NewCachingStrategiesTechnique(config map[string]interface{}) *CachingStrategiesTechnique {
    return &CachingStrategiesTechnique{
        config:     config,
        strategies: make(map[string]CachingStrategy),
    }
}
func (cst *CachingStrategiesTechnique) Apply() error {
    // Apply caching strategies optimization
    return nil
}
func (cst *CachingStrategiesTechnique) GetStatus() OptimizationStatus {
    return OptimizationStatus{
        Technique: "caching_strategies",
        Status:    "active",
        Message:   "Caching strategies optimization active",
        Timestamp: time.Now(),
    }
}
// Connection Pool Implementation
func NewConnectionPool(config PoolConfig) *ConnectionPool {
    return &ConnectionPool{
        config:      config,
        connections: make(chan interface{}, config.MaxConnections),
    }
}
// Handler functions
func handleHome(w http.ResponseWriter, r *http.Request) {
    w.Write([]byte("Welcome to the scalable API!"))
}
func handleUsers(w http.ResponseWriter, r *http.Request) {
    w.Header().Set("Content-Type", "application/json")
    w.Write([]byte({"users": []}))
}
func handleHealth(w http.ResponseWriter, r *http.Request) {
    w.Header().Set("Content-Type", "application/json")
    w.Write([]byte({"status": "healthy"}))
}

Advanced Scaling Features

Auto-Scaling Policies

// TuskLang configuration with auto-scaling policies
scaling: {
    auto_scaling: {
        enabled: true
        policies: {
            cpu_based: {
                enabled: true
                metric: "cpu_utilization"
                target: 70
                scale_up: {
                    adjustment: 1
                    cooldown: "3m"
                }
                scale_down: {
                    adjustment: -1
                    cooldown: "5m"
                }
            }
            
            memory_based: {
                enabled: true
                metric: "memory_utilization"
                target: 80
                scale_up: {
                    adjustment: 1
                    cooldown: "3m"
                }
                scale_down: {
                    adjustment: -1
                    cooldown: "5m"
                }
            }
            
            custom_metric: {
                enabled: true
                metric: "requests_per_second"
                target: 1000
                scale_up: {
                    adjustment: 2
                    cooldown: "2m"
                }
                scale_down: {
                    adjustment: -1
                    cooldown: "10m"
                }
            }
        }
    }
}

Predictive Scaling

// TuskLang configuration with predictive scaling
scaling: {
    predictive: {
        enabled: true
        algorithms: {
            time_series: {
                enabled: true
                window: "24h"
                prediction_horizon: "1h"
            }
            
            machine_learning: {
                enabled: true
                model: "linear_regression"
                features: ["hour", "day_of_week", "historical_load"]
                training_interval: "1d"
            }
        }
        
        scheduling: {
            enabled: true
            patterns: {
                business_hours: {
                    start: "09:00"
                    end: "17:00"
                    timezone: "UTC"
                    scaling_factor: 1.5
                }
                
                weekend: {
                    days: ["Saturday", "Sunday"]
                    scaling_factor: 0.5
                }
            }
        }
    }
}

Performance Considerations

- Scaling Latency: Minimize time to scale up/down - Resource Efficiency: Optimize resource usage during scaling - Monitoring Overhead: Balance monitoring detail with performance - Cache Efficiency: Optimize cache hit rates and eviction policies - Load Distribution: Ensure even load distribution across instances

Security Notes

- Scaling Security: Secure scaling operations and configurations - Access Control: Implement proper access control for scaling operations - Resource Limits: Set appropriate resource limits to prevent abuse - Monitoring Security: Secure monitoring data and endpoints - Cache Security: Implement secure caching policies

Best Practices

1. Gradual Scaling: Scale gradually to avoid sudden load spikes 2. Monitoring: Monitor scaling effectiveness and adjust policies 3. Resource Planning: Plan resources based on expected load patterns 4. Testing: Test scaling policies under various load conditions 5. Documentation: Document scaling policies and procedures 6. Optimization: Continuously optimize scaling policies

Integration Examples

With Kubernetes HPA

import (
    "k8s.io/client-go/kubernetes"
    "k8s.io/client-go/rest"
    "github.com/tusklang/go-sdk"
)
func setupKubernetesHPA(config tusk.Config) {
    var scalingConfig ScalingConfig
    config.Get("scaling", &scalingConfig)
    
    if horizontal, exists := scalingConfig.Strategies["horizontal"]; exists && horizontal.Enabled {
        // Configure Kubernetes HPA
        // Implementation would depend on your Kubernetes setup
    }
}

With Prometheus

import (
    "github.com/prometheus/client_golang/prometheus"
    "github.com/prometheus/client_golang/prometheus/promhttp"
    "github.com/tusklang/go-sdk"
)
func setupPrometheusMetrics(config tusk.Config) {
    var scalingConfig ScalingConfig
    config.Get("scaling", &scalingConfig)
    
    if scalingConfig.Monitoring.Enabled {
        // Register custom metrics for scaling
        prometheus.MustRegister(scalingMetrics...)
    }
}

This comprehensive scaling applications documentation provides Go developers with everything they need to build highly scalable applications using TuskLang's powerful configuration capabilities.