🔷 🧠 Advanced Patterns - TuskLang for C# - "Master the Complex"
🧠 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 solutionsWhy 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 settings2. Event-Driven Patterns
- ✅ Reactive configuration - Configuration that responds to events - ✅ Event handlers - Process configuration events - ✅ Automation - Automated configuration changes - ✅ Real-time updates - Live configuration updates3. 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 settings4. 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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