🔷 🧠 Advanced Patterns - TuskLang for C# - "Master the Complex"

C# Documentation

🧠 Advanced Patterns - TuskLang for C# - "Master the Complex"

Unleash the full power of TuskLang - Complex patterns, advanced use cases, and enterprise solutions!

Advanced patterns are where TuskLang truly shines. Learn how to build complex, enterprise-grade configurations that handle sophisticated business logic, multi-tenant systems, and advanced automation.

🎯 Advanced Patterns Philosophy

"We Don't Bow to Any King"

- Complex business logic - Handle sophisticated requirements - Multi-tenant systems - Support multiple customers efficiently - Advanced automation - Intelligent configuration management - Enterprise integration - Connect with complex enterprise systems - Pattern composition - Combine patterns for powerful solutions

Why Advanced Patterns Matter?

- Business complexity - Handle real-world business requirements - Scalability - Support complex, growing systems - Maintainability - Keep complex systems manageable - Flexibility - Adapt to changing requirements - Competitive advantage - Build superior solutions

🏢 Multi-Tenant Configuration

Tenant-Aware Configuration System

// MultiTenantConfigurationService.cs
using TuskLang;
using TuskLang.Caching;
using System.Security.Claims;

public class MultiTenantConfigurationService { private readonly TuskLang _parser; private readonly IDistributedCache _cache; private readonly ITenantResolver _tenantResolver; private readonly ILogger<MultiTenantConfigurationService> _logger; public MultiTenantConfigurationService( IDistributedCache cache, ITenantResolver tenantResolver, ILogger<MultiTenantConfigurationService> logger) { _parser = new TuskLang(); _cache = cache; _tenantResolver = tenantResolver; _logger = logger; // Configure parser for multi-tenant operation _parser.SetCustomOperatorProvider(new MultiTenantOperatorProvider(_tenantResolver)); } public async Task<Dictionary<string, object>> GetTenantConfigurationAsync( string filePath, ClaimsPrincipal user) { var tenant = await _tenantResolver.ResolveTenantAsync(user); var cacheKey = $"tenant_config:{tenant.Id}:{filePath}"; // Try cache first var cached = await _cache.GetAsync(cacheKey); if (cached != null) { return JsonSerializer.Deserialize<Dictionary<string, object>>(cached); } // Set tenant context for parsing _parser.SetContext("tenant", new Dictionary<string, object> { ["id"] = tenant.Id, ["name"] = tenant.Name, ["plan"] = tenant.Plan, ["region"] = tenant.Region, ["features"] = tenant.Features }); // Parse configuration with tenant context var config = _parser.ParseFile(filePath); // Cache with tenant-specific TTL var ttl = tenant.Plan == "enterprise" ? TimeSpan.FromMinutes(10) : TimeSpan.FromMinutes(5); var serialized = JsonSerializer.SerializeToUtf8Bytes(config); await _cache.SetAsync(cacheKey, serialized, new DistributedCacheEntryOptions { AbsoluteExpirationRelativeToNow = ttl }); _logger.LogInformation("Loaded configuration for tenant {TenantId} from {FilePath}", tenant.Id, filePath); return config; } public async Task InvalidateTenantCacheAsync(string tenantId, string pattern = "*") { var cacheKey = $"tenant_config:{tenantId}:{pattern}"; await _cache.RemoveAsync(cacheKey); _logger.LogInformation("Invalidated cache for tenant {TenantId} with pattern {Pattern}", tenantId, pattern); } }

public class MultiTenantOperatorProvider : ICustomOperatorProvider { private readonly ITenantResolver _tenantResolver; public MultiTenantOperatorProvider(ITenantResolver tenantResolver) { _tenantResolver = tenantResolver; } public object Execute(string operatorName, object[] parameters) { return operatorName switch { "tenant.feature" => CheckTenantFeature(parameters), "tenant.limit" => GetTenantLimit(parameters), "tenant.setting" => GetTenantSetting(parameters), "tenant.quota" => CheckTenantQuota(parameters), _ => throw new ArgumentException($"Unknown operator: {operatorName}") }; } private bool CheckTenantFeature(object[] parameters) { var featureName = parameters[0].ToString(); var tenant = _tenantResolver.GetCurrentTenant(); return tenant?.Features.Contains(featureName) ?? false; } private int GetTenantLimit(object[] parameters) { var limitType = parameters[0].ToString(); var tenant = _tenantResolver.GetCurrentTenant(); return limitType switch { "users" => tenant?.Plan == "enterprise" ? 10000 : 1000, "storage" => tenant?.Plan == "enterprise" ? 1000000 : 100000, "api_calls" => tenant?.Plan == "enterprise" ? 1000000 : 100000, _ => 0 }; } private string GetTenantSetting(object[] parameters) { var settingName = parameters[0].ToString(); var defaultValue = parameters.Length > 1 ? parameters[1].ToString() : ""; var tenant = _tenantResolver.GetCurrentTenant(); return tenant?.Settings.TryGetValue(settingName, out var value) == true ? value.ToString() : defaultValue; } private bool CheckTenantQuota(object[] parameters) { var quotaType = parameters[0].ToString(); var currentUsage = Convert.ToInt32(parameters[1]); var limit = GetTenantLimit(new[] { quotaType }); return currentUsage < limit; } }

Multi-Tenant TSK Configuration

multi-tenant.tsk - Multi-tenant configuration

$tenant_id: @tenant.id() $tenant_plan: @tenant.plan() $tenant_region: @tenant.region()

[tenant] id: $tenant_id plan: $tenant_plan region: $tenant_region

[features]

Feature flags based on tenant plan

advanced_analytics: @tenant.feature("advanced_analytics") ml_predictions: @tenant.feature("ml_predictions") custom_branding: @tenant.feature("custom_branding") api_access: @tenant.feature("api_access")

[limits]

Tenant-specific limits

max_users: @tenant.limit("users") max_storage_mb: @tenant.limit("storage") max_api_calls_per_hour: @tenant.limit("api_calls")

[settings]

Tenant-specific settings

theme: @tenant.setting("theme", "default") timezone: @tenant.setting("timezone", "UTC") language: @tenant.setting("language", "en")

[performance]

Performance tuning based on tenant plan

cache_ttl: @if($tenant_plan == "enterprise", "10m", "5m") worker_count: @if($tenant_plan == "enterprise", 16, 8) connection_pool_size: @if($tenant_plan == "enterprise", 500, 200)

[database]

Tenant-specific database configuration

host: @if($tenant_region == "us-east-1", "us-east-1-db.example.com", "global-db.example.com") schema: "tenant_${tenant_id}" connection_limit: @if($tenant_plan == "enterprise", 100, 20)

[quotas]

Real-time quota checking

can_create_user: @tenant.quota("users", @query("SELECT COUNT(*) FROM users WHERE tenant_id = ?", $tenant_id)) can_upload_file: @tenant.quota("storage", @query("SELECT SUM(size) FROM files WHERE tenant_id = ?", $tenant_id)) can_make_api_call: @tenant.quota("api_calls", @query("SELECT COUNT(*) FROM api_logs WHERE tenant_id = ? AND created_at > ?", $tenant_id, @date.subtract("1h")))

🔄 Event-Driven Configuration

Event-Driven Configuration System

// EventDrivenConfigurationService.cs
using TuskLang;
using Microsoft.Extensions.Hosting;
using System.Reactive.Linq;

public class EventDrivenConfigurationService : BackgroundService { private readonly TuskLang _parser; private readonly IEventBus _eventBus; private readonly IConfigurationStore _configStore; private readonly ILogger<EventDrivenConfigurationService> _logger; public EventDrivenConfigurationService( IEventBus eventBus, IConfigurationStore configStore, ILogger<EventDrivenConfigurationService> logger) { _parser = new TuskLang(); _eventBus = eventBus; _configStore = configStore; _logger = logger; } protected override async Task ExecuteAsync(CancellationToken stoppingToken) { // Subscribe to configuration events var configEvents = _eventBus.Subscribe<ConfigurationEvent>(); await configEvents .Where(e => e.Type == ConfigurationEventType.Updated) .SelectMany(async e => await HandleConfigurationUpdateAsync(e)) .SubscribeAsync( async result => _logger.LogInformation("Configuration updated: {Result}", result), async error => _logger.LogError(error, "Configuration update failed") ); // Subscribe to system events var systemEvents = _eventBus.Subscribe<SystemEvent>(); await systemEvents .Where(e => e.Type == SystemEventType.HighLoad) .SelectMany(async e => await HandleHighLoadAsync(e)) .SubscribeAsync( async result => _logger.LogInformation("High load handled: {Result}", result), async error => _logger.LogError(error, "High load handling failed") ); // Keep the service running await Task.Delay(Timeout.Infinite, stoppingToken); } private async Task<string> HandleConfigurationUpdateAsync(ConfigurationEvent configEvent) { try { // Reload configuration var config = await _configStore.LoadConfigurationAsync(configEvent.ConfigurationPath); // Apply configuration changes await ApplyConfigurationChangesAsync(config, configEvent.Changes); // Notify other services await _eventBus.PublishAsync(new ConfigurationAppliedEvent { ConfigurationPath = configEvent.ConfigurationPath, AppliedAt = DateTime.UtcNow }); return "Configuration updated successfully"; } catch (Exception ex) { _logger.LogError(ex, "Failed to handle configuration update"); throw; } } private async Task<string> HandleHighLoadAsync(SystemEvent systemEvent) { try { // Adjust configuration for high load var config = await _configStore.LoadConfigurationAsync("performance.tsk"); // Update performance settings config["performance"]["cache_ttl"] = "30s"; config["performance"]["worker_count"] = 16; config["performance"]["connection_pool_size"] = 500; // Save updated configuration await _configStore.SaveConfigurationAsync("performance.tsk", config); return "Performance configuration adjusted for high load"; } catch (Exception ex) { _logger.LogError(ex, "Failed to handle high load"); throw; } } private async Task ApplyConfigurationChangesAsync( Dictionary<string, object> config, List<ConfigurationChange> changes) { foreach (var change in changes) { switch (change.Type) { case ConfigurationChangeType.Set: SetNestedValue(config, change.Path, change.Value); break; case ConfigurationChangeType.Delete: DeleteNestedValue(config, change.Path); break; case ConfigurationChangeType.Add: AddToArray(config, change.Path, change.Value); break; } } } private void SetNestedValue(Dictionary<string, object> config, string path, object value) { var parts = path.Split('.'); var current = config; for (int i = 0; i < parts.Length - 1; i++) { if (!current.ContainsKey(parts[i])) { current[parts[i]] = new Dictionary<string, object>(); } current = current[parts[i]] as Dictionary<string, object>; } current[parts[^1]] = value; } private void DeleteNestedValue(Dictionary<string, object> config, string path) { var parts = path.Split('.'); var current = config; for (int i = 0; i < parts.Length - 1; i++) { if (current.ContainsKey(parts[i])) { current = current[parts[i]] as Dictionary<string, object>; } } if (current != null && current.ContainsKey(parts[^1])) { current.Remove(parts[^1]); } } private void AddToArray(Dictionary<string, object> config, string path, object value) { var parts = path.Split('.'); var current = config; for (int i = 0; i < parts.Length - 1; i++) { if (!current.ContainsKey(parts[i])) { current[parts[i]] = new Dictionary<string, object>(); } current = current[parts[i]] as Dictionary<string, object>; } if (!current.ContainsKey(parts[^1])) { current[parts[^1]] = new List<object>(); } var array = current[parts[^1]] as List<object>; array?.Add(value); } }

public class ConfigurationEvent { public string ConfigurationPath { get; set; } = string.Empty; public ConfigurationEventType Type { get; set; } public List<ConfigurationChange> Changes { get; set; } = new List<ConfigurationChange>(); public DateTime Timestamp { get; set; } = DateTime.UtcNow; }

public enum ConfigurationEventType { Created, Updated, Deleted }

public class ConfigurationChange { public ConfigurationChangeType Type { get; set; } public string Path { get; set; } = string.Empty; public object? Value { get; set; } }

public enum ConfigurationChangeType { Set, Delete, Add }

Event-Driven TSK Configuration

event-driven.tsk - Event-driven configuration

$event_type: @event.type() $event_source: @event.source() $event_timestamp: @event.timestamp()

[events] type: $event_type source: $event_source timestamp: $event_timestamp

[reactive_config]

Configuration that reacts to events

cache_ttl: @if($event_type == "high_load", "30s", "5m") worker_count: @if($event_type == "high_load", 16, 8) log_level: @if($event_type == "error", "debug", "info")

[event_handlers]

Event-specific handlers

high_load { action: "scale_up" target: "workers" value: 16 }

error { action: "increase_logging" target: "log_level" value: "debug" }

maintenance { action: "drain_connections" target: "connection_pool" value: 0 }

[automation]

Automated configuration changes

auto_scale: @if(@metrics("cpu_usage", 0) > 80, true, false) auto_cache: @if(@metrics("cache_hit_rate", 0) < 0.8, true, false) auto_logging: @if(@metrics("error_rate", 0) > 0.05, true, false)

🤖 AI-Powered Configuration

Machine Learning Configuration System

// AIConfigurationService.cs
using TuskLang;
using TuskLang.MachineLearning;
using Microsoft.ML;

public class AIConfigurationService { private readonly TuskLang _parser; private readonly IMLProvider _mlProvider; private readonly IDataCollector _dataCollector; private readonly ILogger<AIConfigurationService> _logger; public AIConfigurationService( IMLProvider mlProvider, IDataCollector dataCollector, ILogger<AIConfigurationService> logger) { _parser = new TuskLang(); _mlProvider = mlProvider; _dataCollector = dataCollector; _logger = logger; // Configure parser with AI capabilities _parser.SetMLProvider(_mlProvider); } public async Task<Dictionary<string, object>> GetAIOptimizedConfigurationAsync(string filePath) { // Collect current system data var systemData = await _dataCollector.CollectSystemDataAsync(); // Train models with current data await TrainModelsAsync(systemData); // Parse configuration with AI optimization var config = _parser.ParseFile(filePath); // Apply AI-driven optimizations await ApplyAIOptimizationsAsync(config, systemData); return config; } private async Task TrainModelsAsync(SystemData systemData) { // Train cache TTL optimization model await _mlProvider.TrainAsync("cache_ttl_optimization", new MLTrainingData { Features = new[] { "cpu_usage", "memory_usage", "request_rate", "cache_hit_rate" }, Target = "optimal_cache_ttl", HistoricalData = await _dataCollector.GetHistoricalCacheDataAsync() }); // Train worker count optimization model await _mlProvider.TrainAsync("worker_count_optimization", new MLTrainingData { Features = new[] { "cpu_usage", "queue_length", "response_time", "error_rate" }, Target = "optimal_worker_count", HistoricalData = await _dataCollector.GetHistoricalWorkerDataAsync() }); // Train connection pool optimization model await _mlProvider.TrainAsync("connection_pool_optimization", new MLTrainingData { Features = new[] { "active_connections", "connection_wait_time", "database_load" }, Target = "optimal_pool_size", HistoricalData = await _dataCollector.GetHistoricalConnectionDataAsync() }); } private async Task ApplyAIOptimizationsAsync( Dictionary<string, object> config, SystemData systemData) { // Apply AI predictions to configuration var cacheTtlPrediction = await _mlProvider.PredictAsync("cache_ttl_optimization", systemData); var workerCountPrediction = await _mlProvider.PredictAsync("worker_count_optimization", systemData); var poolSizePrediction = await _mlProvider.PredictAsync("connection_pool_optimization", systemData); // Update configuration with AI predictions if (config.ContainsKey("performance")) { var performance = config["performance"] as Dictionary<string, object>; if (performance != null) { performance["cache_ttl"] = cacheTtlPrediction; performance["worker_count"] = workerCountPrediction; performance["connection_pool_size"] = poolSizePrediction; } } _logger.LogInformation("Applied AI optimizations: Cache TTL={CacheTtl}, Workers={Workers}, Pool Size={PoolSize}", cacheTtlPrediction, workerCountPrediction, poolSizePrediction); } public async Task<AIOptimizationReport> GenerateOptimizationReportAsync(string filePath) { var report = new AIOptimizationReport { FilePath = filePath, GeneratedAt = DateTime.UtcNow }; // Analyze current configuration var currentConfig = _parser.ParseFile(filePath); report.CurrentSettings = ExtractPerformanceSettings(currentConfig); // Generate AI recommendations var systemData = await _dataCollector.CollectSystemDataAsync(); var recommendations = await GenerateRecommendationsAsync(systemData); report.Recommendations = recommendations; // Calculate potential improvements report.PotentialImprovements = CalculateImprovements(report.CurrentSettings, recommendations); return report; } private Dictionary<string, object> ExtractPerformanceSettings(Dictionary<string, object> config) { var settings = new Dictionary<string, object>(); if (config.ContainsKey("performance")) { var performance = config["performance"] as Dictionary<string, object>; if (performance != null) { foreach (var kvp in performance) { settings[kvp.Key] = kvp.Value; } } } return settings; } private async Task<Dictionary<string, object>> GenerateRecommendationsAsync(SystemData systemData) { var recommendations = new Dictionary<string, object>(); // Generate AI recommendations recommendations["cache_ttl"] = await _mlProvider.PredictAsync("cache_ttl_optimization", systemData); recommendations["worker_count"] = await _mlProvider.PredictAsync("worker_count_optimization", systemData); recommendations["connection_pool_size"] = await _mlProvider.PredictAsync("connection_pool_optimization", systemData); return recommendations; } private Dictionary<string, double> CalculateImprovements( Dictionary<string, object> current, Dictionary<string, object> recommended) { var improvements = new Dictionary<string, double>(); foreach (var kvp in recommended) { if (current.TryGetValue(kvp.Key, out var currentValue)) { var currentNum = Convert.ToDouble(currentValue); var recommendedNum = Convert.ToDouble(kvp.Value); var improvement = ((recommendedNum - currentNum) / currentNum) * 100; improvements[kvp.Key] = improvement; } } return improvements; } }

public class AIOptimizationReport { public string FilePath { get; set; } = string.Empty; public DateTime GeneratedAt { get; set; } public Dictionary<string, object> CurrentSettings { get; set; } = new Dictionary<string, object>(); public Dictionary<string, object> Recommendations { get; set; } = new Dictionary<string, object>(); public Dictionary<string, double> PotentialImprovements { get; set; } = new Dictionary<string, double>(); }

AI-Powered TSK Configuration

ai-powered.tsk - AI-powered configuration

$ai_enabled: @env("AI_ENABLED", "true") $optimization_level: @env("OPTIMIZATION_LEVEL", "aggressive")

[ai_optimization] enabled: $ai_enabled level: $optimization_level models { cache_ttl: "cache_ttl_optimization" worker_count: "worker_count_optimization" connection_pool: "connection_pool_optimization" }

[performance]

AI-optimized performance settings

cache_ttl: @if($ai_enabled, @predict("cache_ttl_optimization", @metrics.batch(["cpu_usage", "memory_usage", "request_rate", "cache_hit_rate"])), "5m") worker_count: @if($ai_enabled, @predict("worker_count_optimization", @metrics.batch(["cpu_usage", "queue_length", "response_time", "error_rate"])), 8) connection_pool_size: @if($ai_enabled, @predict("connection_pool_optimization", @metrics.batch(["active_connections", "connection_wait_time", "database_load"])), 200)

[adaptive_config]

Configuration that adapts based on AI predictions

adaptive_cache: @if(@predict("cache_ttl_optimization", @metrics.current()) > 300, true, false) adaptive_workers: @if(@predict("worker_count_optimization", @metrics.current()) > 12, true, false) adaptive_pool: @if(@predict("connection_pool_optimization", @metrics.current()) > 400, true, false)

[ml_features]

Machine learning features

prediction_interval: @if($optimization_level == "aggressive", "30s", "5m") learning_rate: @if($optimization_level == "aggressive", 0.1, 0.01) confidence_threshold: @if($optimization_level == "aggressive", 0.7, 0.9)

[automation]

Automated AI-driven changes

auto_optimize: @if(@metrics("performance_score", 0) < 0.8, true, false) auto_retrain: @if(@metrics("prediction_accuracy", 0) < 0.85, true, false) auto_adjust: @if(@metrics("system_stability", 0) < 0.9, true, false)

🔗 Microservices Configuration

Microservices Configuration System

// MicroservicesConfigurationService.cs
using TuskLang;
using TuskLang.ServiceDiscovery;

public class MicroservicesConfigurationService { private readonly TuskLang _parser; private readonly IServiceRegistry _serviceRegistry; private readonly ILoadBalancer _loadBalancer; private readonly ILogger<MicroservicesConfigurationService> _logger; public MicroservicesConfigurationService( IServiceRegistry serviceRegistry, ILoadBalancer loadBalancer, ILogger<MicroservicesConfigurationService> logger) { _parser = new TuskLang(); _serviceRegistry = serviceRegistry; _loadBalancer = loadBalancer; _logger = logger; // Configure parser for microservices _parser.SetCustomOperatorProvider(new MicroservicesOperatorProvider(_serviceRegistry, _loadBalancer)); } public async Task<Dictionary<string, object>> GetMicroservicesConfigurationAsync(string filePath) { // Discover available services var services = await _serviceRegistry.DiscoverServicesAsync(); // Set service context for parsing _parser.SetContext("services", new Dictionary<string, object> { ["available"] = services.Select(s => s.Name).ToList(), ["healthy"] = services.Where(s => s.Health == ServiceHealth.Healthy).Select(s => s.Name).ToList(), ["overloaded"] = services.Where(s => s.Load > 0.8).Select(s => s.Name).ToList() }); // Parse configuration with service discovery var config = _parser.ParseFile(filePath); // Apply service-specific configurations await ApplyServiceConfigurationsAsync(config, services); return config; } private async Task ApplyServiceConfigurationsAsync( Dictionary<string, object> config, List<ServiceInfo> services) { foreach (var service in services) { if (config.ContainsKey("services")) { var servicesConfig = config["services"] as Dictionary<string, object>; if (servicesConfig != null && servicesConfig.ContainsKey(service.Name)) { var serviceConfig = servicesConfig[service.Name] as Dictionary<string, object>; if (serviceConfig != null) { // Apply service-specific settings serviceConfig["endpoint"] = service.Endpoint; serviceConfig["health"] = service.Health.ToString(); serviceConfig["load"] = service.Load; serviceConfig["version"] = service.Version; // Apply load balancing if (service.Load > 0.8) { serviceConfig["timeout"] = 30000; // 30 seconds serviceConfig["retries"] = 3; } else { serviceConfig["timeout"] = 10000; // 10 seconds serviceConfig["retries"] = 1; } } } } } } public async Task<ServiceConfigurationReport> GenerateServiceReportAsync(string filePath) { var report = new ServiceConfigurationReport { FilePath = filePath, GeneratedAt = DateTime.UtcNow }; // Get current service state var services = await _serviceRegistry.DiscoverServicesAsync(); report.Services = services; // Analyze service dependencies var config = _parser.ParseFile(filePath); report.Dependencies = ExtractServiceDependencies(config); // Check service health report.HealthIssues = await CheckServiceHealthAsync(services); // Generate recommendations report.Recommendations = GenerateServiceRecommendations(services, report.HealthIssues); return report; } private List<ServiceDependency> ExtractServiceDependencies(Dictionary<string, object> config) { var dependencies = new List<ServiceDependency>(); if (config.ContainsKey("services")) { var servicesConfig = config["services"] as Dictionary<string, object>; if (servicesConfig != null) { foreach (var kvp in servicesConfig) { var serviceConfig = kvp.Value as Dictionary<string, object>; if (serviceConfig != null && serviceConfig.ContainsKey("depends_on")) { var dependsOn = serviceConfig["depends_on"] as List<object>; if (dependsOn != null) { dependencies.Add(new ServiceDependency { Service = kvp.Key, Dependencies = dependsOn.Select(d => d.ToString()).ToList() }); } } } } } return dependencies; } private async Task<List<HealthIssue>> CheckServiceHealthAsync(List<ServiceInfo> services) { var issues = new List<HealthIssue>(); foreach (var service in services) { if (service.Health != ServiceHealth.Healthy) { issues.Add(new HealthIssue { Service = service.Name, Issue = $"Service health is {service.Health}", Severity = service.Health == ServiceHealth.Unhealthy ? "High" : "Medium" }); } if (service.Load > 0.9) { issues.Add(new HealthIssue { Service = service.Name, Issue = $"Service load is {service.Load:P}", Severity = "High" }); } } return issues; } private List<string> GenerateServiceRecommendations(List<ServiceInfo> services, List<HealthIssue> issues) { var recommendations = new List<string>(); // Recommendations based on health issues foreach (var issue in issues) { switch (issue.Severity) { case "High": recommendations.Add($"Scale up {issue.Service} service"); break; case "Medium": recommendations.Add($"Monitor {issue.Service} service closely"); break; } } // Recommendations based on load var overloadedServices = services.Where(s => s.Load > 0.8).ToList(); if (overloadedServices.Any()) { recommendations.Add($"Consider load balancing for: {string.Join(", ", overloadedServices.Select(s => s.Name))}"); } return recommendations; } }

public class ServiceConfigurationReport { public string FilePath { get; set; } = string.Empty; public DateTime GeneratedAt { get; set; } public List<ServiceInfo> Services { get; set; } = new List<ServiceInfo>(); public List<ServiceDependency> Dependencies { get; set; } = new List<ServiceDependency>(); public List<HealthIssue> HealthIssues { get; set; } = new List<HealthIssue>(); public List<string> Recommendations { get; set; } = new List<string>(); }

public class ServiceDependency { public string Service { get; set; } = string.Empty; public List<string> Dependencies { get; set; } = new List<string>(); }

public class HealthIssue { public string Service { get; set; } = string.Empty; public string Issue { get; set; } = string.Empty; public string Severity { get; set; } = string.Empty; }

Microservices TSK Configuration

microservices.tsk - Microservices configuration

$service_name: @env("SERVICE_NAME", "unknown") $service_version: @env("SERVICE_VERSION", "1.0.0")

[service] name: $service_name version: $service_version environment: @env("SERVICE_ENV", "development")

[service_discovery] registry_url: @env("SERVICE_REGISTRY_URL", "http://consul:8500") health_check_interval: "30s" deregister_timeout: "5m"

[services]

Service-specific configurations

user_service { endpoint: @service.endpoint("user-service") health: @service.health("user-service") load: @service.load("user-service") timeout: @if(@service.load("user-service") > 0.8, 30000, 10000) retries: @if(@service.load("user-service") > 0.8, 3, 1) depends_on: ["database", "cache"] }

order_service { endpoint: @service.endpoint("order-service") health: @service.health("order-service") load: @service.load("order-service") timeout: @if(@service.load("order-service") > 0.8, 30000, 10000) retries: @if(@service.load("order-service") > 0.8, 3, 1) depends_on: ["user-service", "payment-service", "database"] }

payment_service { endpoint: @service.endpoint("payment-service") health: @service.health("payment-service") load: @service.load("payment-service") timeout: @if(@service.load("payment-service") > 0.8, 30000, 10000) retries: @if(@service.load("payment-service") > 0.8, 3, 1) depends_on: ["database"] }

[load_balancing] strategy: @if(@services.overloaded.count() > 2, "least_connections", "round_robin") health_check_path: "/health" health_check_interval: "10s" unhealthy_threshold: 3 healthy_threshold: 2

[circuit_breaker] enabled: true failure_threshold: 5 recovery_timeout: "30s" half_open_state: true

[service_mesh] enabled: @env("SERVICE_MESH_ENABLED", "false") sidecar_port: 15001 admin_port: 15000

🎯 Advanced Patterns Summary

1. Multi-Tenant Patterns

- ✅ Tenant isolation - Separate configurations per tenant - ✅ Feature flags - Enable/disable features per tenant - ✅ Resource limits - Enforce tenant-specific limits - ✅ Customization - Tenant-specific settings

2. Event-Driven Patterns

- ✅ Reactive configuration - Configuration that responds to events - ✅ Event handlers - Process configuration events - ✅ Automation - Automated configuration changes - ✅ Real-time updates - Live configuration updates

3. AI-Powered Patterns

- ✅ ML optimization - AI-driven configuration optimization - ✅ Predictive scaling - Predict and scale proactively - ✅ Adaptive configuration - Configuration that learns and adapts - ✅ Performance optimization - AI-optimized performance settings

4. Microservices Patterns

- ✅ Service discovery - Dynamic service configuration - ✅ Load balancing - Intelligent load distribution - ✅ Health monitoring - Service health tracking - ✅ Dependency management - Service dependency configuration

🎉 You're Ready!

You've mastered advanced TuskLang patterns! You can now:

- ✅ Build multi-tenant systems - Support multiple customers efficiently - ✅ Create event-driven configurations - Reactive and automated systems - ✅ Implement AI-powered optimization - Intelligent configuration management - ✅ Design microservices architectures - Distributed service configurations - ✅ Handle complex business logic - Sophisticated configuration patterns - ✅ Scale enterprise systems - Large-scale configuration management

🔥 What's Next?

Ready for integrations and security? Explore:

1. Integration Guides - Third-party integrations 2. Security Deep Dive - Advanced security patterns 3. Enterprise Solutions - Enterprise-grade patterns

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"We don't bow to any king" - Your advanced patterns, your complex solutions, your mastery.

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