Chaos Engineering¶

Giriş¶

Chaos Engineering, production sistemlerinde kontrollü olarak failure'ları tetikleyerek sistemin resilience'ını test eden ve iyileştiren yaklaşımdır. Mid-level geliştiriciler için chaos engineering'i anlamak, system reliability, fault tolerance ve disaster recovery için kritik öneme sahiptir. Bu dosya, chaos experiments, failure injection, resilience testing ve chaos automation konularını kapsar.

Chaos Engineering Framework¶

1. Chaos Experiment Engine¶

Chaos experiment'larını yöneten engine.

public class ChaosExperimentEngine : IChaosExperimentEngine
{
    private readonly ILogger<ChaosExperimentEngine> _logger;
    private readonly IConfiguration _configuration;
    private readonly IChaosExperimentRepository _experimentRepository;
    private readonly IChaosExecutionService _executionService;
    private readonly IChaosMonitoringService _monitoringService;
    private readonly Dictionary<string, IChaosExperiment> _activeExperiments;

    public ChaosExperimentEngine(ILogger<ChaosExperimentEngine> logger, IConfiguration configuration,
        IChaosExperimentRepository experimentRepository, IChaosExecutionService executionService,
        IChaosMonitoringService monitoringService)
    {
        _logger = logger;
        _configuration = configuration;
        _experimentRepository = experimentRepository;
        _executionService = executionService;
        _monitoringService = monitoringService;
        _activeExperiments = new Dictionary<string, IChaosExperiment>();
    }

    public async Task InitializeAsync()
    {
        try
        {
            var experiments = await _experimentRepository.GetActiveExperimentsAsync();

            foreach (var experiment in experiments)
            {
                await LoadExperimentAsync(experiment);
            }

            _logger.LogInformation("Chaos experiment engine initialized with {Count} experiments", _activeExperiments.Count);
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error initializing chaos experiment engine");
        }
    }

    public async Task<string> CreateExperimentAsync(ChaosExperimentDefinition definition)
    {
        try
        {
            var experiment = new ChaosExperiment
            {
                Id = Guid.NewGuid().ToString(),
                Name = definition.Name,
                Description = definition.Description,
                Hypothesis = definition.Hypothesis,
                SteadyState = definition.SteadyState,
                Method = definition.Method,
                Rollback = definition.Rollback,
                IsEnabled = definition.IsEnabled,
                Schedule = definition.Schedule,
                CreatedAt = DateTime.UtcNow,
                CreatedBy = definition.CreatedBy
            };

            await _experimentRepository.SaveExperimentAsync(experiment);
            await LoadExperimentAsync(experiment);

            _logger.LogInformation("Chaos experiment created: {Name}", experiment.Name);
            return experiment.Id;
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error creating chaos experiment: {Name}", definition.Name);
            throw;
        }
    }

    public async Task<bool> ExecuteExperimentAsync(string experimentId)
    {
        try
        {
            if (!_activeExperiments.TryGetValue(experimentId, out var experiment))
            {
                _logger.LogWarning("Experiment not found: {ExperimentId}", experimentId);
                return false;
            }

            _logger.LogInformation("Executing chaos experiment: {Name}", experiment.Name);

            // Record steady state before experiment
            var steadyStateBefore = await _monitoringService.RecordSteadyStateAsync(experiment.SteadyState);

            // Execute the experiment
            var executionResult = await _executionService.ExecuteExperimentAsync(experiment);

            // Record steady state after experiment
            var steadyStateAfter = await _monitoringService.RecordSteadyStateAsync(experiment.SteadyState);

            // Analyze results
            var analysisResult = await AnalyzeExperimentResultsAsync(experiment, steadyStateBefore, steadyStateAfter, executionResult);

            // Store results
            await _experimentRepository.SaveExperimentResultAsync(experimentId, analysisResult);

            _logger.LogInformation("Chaos experiment completed: {Name}, Success: {Success}", 
                experiment.Name, analysisResult.IsSuccessful);

            return analysisResult.IsSuccessful;
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error executing chaos experiment: {ExperimentId}", experimentId);
            return false;
        }
    }

    public async Task<bool> RollbackExperimentAsync(string experimentId)
    {
        try
        {
            if (!_activeExperiments.TryGetValue(experimentId, out var experiment))
            {
                _logger.LogWarning("Experiment not found: {ExperimentId}", experimentId);
                return false;
            }

            _logger.LogInformation("Rolling back chaos experiment: {Name}", experiment.Name);

            var rollbackResult = await _executionService.RollbackExperimentAsync(experiment);

            _logger.LogInformation("Chaos experiment rollback completed: {Name}, Success: {Success}", 
                experiment.Name, rollbackResult.IsSuccessful);

            return rollbackResult.IsSuccessful;
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error rolling back chaos experiment: {ExperimentId}", experimentId);
            return false;
        }
    }

    public async Task<List<ChaosExperiment>> GetActiveExperimentsAsync()
    {
        return _activeExperiments.Values.ToList();
    }

    public async Task<ChaosExperimentResult> GetExperimentResultAsync(string experimentId)
    {
        return await _experimentRepository.GetExperimentResultAsync(experimentId);
    }

    private async Task LoadExperimentAsync(ChaosExperiment experiment)
    {
        try
        {
            // Create experiment instance based on method
            var experimentInstance = CreateExperimentInstance(experiment.Method);
            _activeExperiments[experiment.Id] = experimentInstance;

            _logger.LogDebug("Chaos experiment loaded: {Name}", experiment.Name);
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error loading chaos experiment: {Name}", experiment.Name);
        }
    }

    private IChaosExperiment CreateExperimentInstance(ChaosMethod method)
    {
        return method.Type switch
        {
            ChaosType.NetworkLatency => new NetworkLatencyExperiment(method),
            ChaosType.NetworkPartition => new NetworkPartitionExperiment(method),
            ChaosType.ServiceFailure => new ServiceFailureExperiment(method),
            ChaosType.DatabaseFailure => new DatabaseFailureExperiment(method),
            ChaosType.MemoryLeak => new MemoryLeakExperiment(method),
            ChaosType.CpuSpike => new CpuSpikeExperiment(method),
            ChaosType.DiskFailure => new DiskFailureExperiment(method),
            _ => throw new ArgumentException($"Unknown chaos type: {method.Type}")
        };
    }

    private async Task<ChaosAnalysisResult> AnalyzeExperimentResultsAsync(
        ChaosExperiment experiment, 
        SteadyStateMetrics steadyStateBefore, 
        SteadyStateMetrics steadyStateAfter, 
        ChaosExecutionResult executionResult)
    {
        try
        {
            var analysis = new ChaosAnalysisResult
            {
                ExperimentId = experiment.Id,
                ExecutedAt = DateTime.UtcNow,
                ExecutionDuration = executionResult.Duration,
                SteadyStateBefore = steadyStateBefore,
                SteadyStateAfter = steadyStateAfter
            };

            // Analyze steady state changes
            var steadyStateAnalysis = await AnalyzeSteadyStateChangesAsync(steadyStateBefore, steadyStateAfter);
            analysis.SteadyStateAnalysis = steadyStateAnalysis;

            // Determine if experiment was successful
            analysis.IsSuccessful = steadyStateAnalysis.IsWithinAcceptableRange && executionResult.IsSuccessful;

            // Generate recommendations
            analysis.Recommendations = await GenerateRecommendationsAsync(experiment, steadyStateAnalysis);

            return analysis;
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error analyzing experiment results");
            return new ChaosAnalysisResult
            {
                ExperimentId = experiment.Id,
                ExecutedAt = DateTime.UtcNow,
                IsSuccessful = false,
                Error = ex.Message
            };
        }
    }

    private async Task<SteadyStateAnalysis> AnalyzeSteadyStateChangesAsync(
        SteadyStateMetrics before, 
        SteadyStateMetrics after)
    {
        var analysis = new SteadyStateAnalysis();

        // Analyze response time changes
        var responseTimeChange = (after.AverageResponseTime - before.AverageResponseTime) / before.AverageResponseTime * 100;
        analysis.ResponseTimeChange = responseTimeChange;

        // Analyze error rate changes
        var errorRateChange = (after.ErrorRate - before.ErrorRate) / Math.Max(before.ErrorRate, 0.001) * 100;
        analysis.ErrorRateChange = errorRateChange;

        // Analyze throughput changes
        var throughputChange = (after.Throughput - before.Throughput) / before.Throughput * 100;
        analysis.ThroughputChange = throughputChange;

        // Determine if changes are within acceptable range
        analysis.IsWithinAcceptableRange = 
            Math.Abs(responseTimeChange) < 20 && 
            Math.Abs(errorRateChange) < 5 && 
            Math.Abs(throughputChange) < 15;

        return analysis;
    }

    private async Task<List<string>> GenerateRecommendationsAsync(
        ChaosExperiment experiment, 
        SteadyStateAnalysis analysis)
    {
        var recommendations = new List<string>();

        if (Math.Abs(analysis.ResponseTimeChange) > 20)
        {
            recommendations.Add("Consider implementing caching strategies to improve response time");
            recommendations.Add("Review database query performance and add indexes if needed");
        }

        if (Math.Abs(analysis.ErrorRateChange) > 5)
        {
            recommendations.Add("Implement circuit breaker pattern for external service calls");
            recommendations.Add("Add retry policies with exponential backoff");
        }

        if (Math.Abs(analysis.ThroughputChange) > 15)
        {
            recommendations.Add("Consider horizontal scaling for high-traffic scenarios");
            recommendations.Add("Implement connection pooling for database connections");
        }

        return recommendations;
    }
}

public interface IChaosExperimentEngine
{
    Task InitializeAsync();
    Task<string> CreateExperimentAsync(ChaosExperimentDefinition definition);
    Task<bool> ExecuteExperimentAsync(string experimentId);
    Task<bool> RollbackExperimentAsync(string experimentId);
    Task<List<ChaosExperiment>> GetActiveExperimentsAsync();
    Task<ChaosExperimentResult> GetExperimentResultAsync(string experimentId);
}

public class ChaosExperiment
{
    public string Id { get; set; }
    public string Name { get; set; }
    public string Description { get; set; }
    public string Hypothesis { get; set; }
    public SteadyStateDefinition SteadyState { get; set; }
    public ChaosMethod Method { get; set; }
    public RollbackStrategy Rollback { get; set; }
    public bool IsEnabled { get; set; }
    public ChaosSchedule Schedule { get; set; }
    public DateTime CreatedAt { get; set; }
    public string CreatedBy { get; set; }
}

public class ChaosExperimentDefinition
{
    public string Name { get; set; }
    public string Description { get; set; }
    public string Hypothesis { get; set; }
    public SteadyStateDefinition SteadyState { get; set; }
    public ChaosMethod Method { get; set; }
    public RollbackStrategy Rollback { get; set; }
    public bool IsEnabled { get; set; }
    public ChaosSchedule Schedule { get; set; }
    public string CreatedBy { get; set; }
}

public class SteadyStateDefinition
{
    public List<string> Metrics { get; set; } = new();
    public Dictionary<string, double> Thresholds { get; set; } = new();
    public TimeSpan MeasurementWindow { get; set; } = TimeSpan.FromMinutes(5);
}

public class ChaosMethod
{
    public ChaosType Type { get; set; }
    public Dictionary<string, object> Parameters { get; set; } = new();
    public TimeSpan Duration { get; set; }
    public int Intensity { get; set; } = 50; // 0-100
}

public class RollbackStrategy
{
    public bool AutoRollback { get; set; } = true;
    public TimeSpan RollbackDelay { get; set; } = TimeSpan.FromSeconds(30);
    public List<string> RollbackActions { get; set; } = new();
}

public class ChaosSchedule
{
    public bool IsScheduled { get; set; } = false;
    public string CronExpression { get; set; }
    public TimeZoneInfo TimeZone { get; set; } = TimeZoneInfo.Utc;
}

public enum ChaosType
{
    NetworkLatency,
    NetworkPartition,
    ServiceFailure,
    DatabaseFailure,
    MemoryLeak,
    CpuSpike,
    DiskFailure
}

2. Network Chaos Experiments¶

Network chaos experiment'ları implementasyonu.

public class NetworkLatencyExperiment : IChaosExperiment
{
    private readonly ChaosMethod _method;
    private readonly ILogger<NetworkLatencyExperiment> _logger;

    public NetworkLatencyExperiment(ChaosMethod method)
    {
        _method = method;
        _logger = LogManager.GetCurrentClassLogger();
    }

    public async Task<ChaosExecutionResult> ExecuteAsync()
    {
        try
        {
            _logger.LogInformation("Executing network latency experiment with parameters: {Parameters}", 
                JsonSerializer.Serialize(_method.Parameters));

            var latencyMs = _method.Parameters.GetValueOrDefault("latencyMs", 100);
            var jitterMs = _method.Parameters.GetValueOrDefault("jitterMs", 20);
            var duration = _method.Duration;

            // Apply network latency using Windows QoS or similar
            await ApplyNetworkLatencyAsync(latencyMs, jitterMs, duration);

            return new ChaosExecutionResult
            {
                IsSuccessful = true,
                Duration = duration,
                Details = $"Applied {latencyMs}ms latency with {jitterMs}ms jitter for {duration}"
            };
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error executing network latency experiment");
            return new ChaosExecutionResult
            {
                IsSuccessful = false,
                Error = ex.Message
            };
        }
    }

    public async Task<ChaosExecutionResult> RollbackAsync()
    {
        try
        {
            _logger.LogInformation("Rolling back network latency experiment");

            // Remove network latency rules
            await RemoveNetworkLatencyAsync();

            return new ChaosExecutionResult
            {
                IsSuccessful = true,
                Details = "Network latency rules removed"
            };
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error rolling back network latency experiment");
            return new ChaosExecutionResult
            {
                IsSuccessful = false,
                Error = ex.Message
            };
        }
    }

    private async Task ApplyNetworkLatencyAsync(int latencyMs, int jitterMs, TimeSpan duration)
    {
        // This would integrate with your network infrastructure
        // For demonstration, simulate the operation
        await Task.Delay(1000);

        _logger.LogInformation("Applied network latency: {Latency}ms ± {Jitter}ms for {Duration}", 
            latencyMs, jitterMs, duration);
    }

    private async Task RemoveNetworkLatencyAsync()
    {
        // Remove network latency rules
        await Task.Delay(500);

        _logger.LogInformation("Removed network latency rules");
    }
}

public class NetworkPartitionExperiment : IChaosExperiment
{
    private readonly ChaosMethod _method;
    private readonly ILogger<NetworkPartitionExperiment> _logger;

    public NetworkPartitionExperiment(ChaosMethod method)
    {
        _method = method;
        _logger = LogManager.GetCurrentClassLogger();
    }

    public async Task<ChaosExecutionResult> ExecuteAsync()
    {
        try
        {
            _logger.LogInformation("Executing network partition experiment");

            var targetServices = _method.Parameters.GetValueOrDefault("targetServices", new string[0]) as string[];
            var partitionType = _method.Parameters.GetValueOrDefault("partitionType", "complete") as string;
            var duration = _method.Duration;

            // Apply network partition
            await ApplyNetworkPartitionAsync(targetServices, partitionType, duration);

            return new ChaosExecutionResult
            {
                IsSuccessful = true,
                Duration = duration,
                Details = $"Applied {partitionType} network partition to {targetServices.Length} services for {duration}"
            };
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error executing network partition experiment");
            return new ChaosExecutionResult
            {
                IsSuccessful = false,
                Error = ex.Message
            };
        }
    }

    public async Task<ChaosExecutionResult> RollbackAsync()
    {
        try
        {
            _logger.LogInformation("Rolling back network partition experiment");

            // Restore network connectivity
            await RestoreNetworkConnectivityAsync();

            return new ChaosExecutionResult
            {
                IsSuccessful = true,
                Details = "Network connectivity restored"
            };
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error rolling back network partition experiment");
            return new ChaosExecutionResult
            {
                IsSuccessful = false,
                Error = ex.Message
            };
        }
    }

    private async Task ApplyNetworkPartitionAsync(string[] targetServices, string partitionType, TimeSpan duration)
    {
        // This would integrate with your network infrastructure
        // For demonstration, simulate the operation
        await Task.Delay(1000);

        _logger.LogInformation("Applied {PartitionType} network partition to {Services} for {Duration}", 
            partitionType, string.Join(", ", targetServices), duration);
    }

    private async Task RestoreNetworkConnectivityAsync()
    {
        // Restore network connectivity
        await Task.Delay(500);

        _logger.LogInformation("Network connectivity restored");
    }
}

public interface IChaosExperiment
{
    Task<ChaosExecutionResult> ExecuteAsync();
    Task<ChaosExecutionResult> RollbackAsync();
}

public class ChaosExecutionResult
{
    public bool IsSuccessful { get; set; }
    public TimeSpan Duration { get; set; }
    public string Details { get; set; }
    public string Error { get; set; }
}

3. Service Chaos Experiments¶

Service chaos experiment'ları implementasyonu.

public class ServiceFailureExperiment : IChaosExperiment
{
    private readonly ChaosMethod _method;
    private readonly ILogger<ServiceFailureExperiment> _logger;
    private readonly IServiceManager _serviceManager;

    public ServiceFailureExperiment(ChaosMethod method, IServiceManager serviceManager)
    {
        _method = method;
        _serviceManager = serviceManager;
        _logger = LogManager.GetCurrentClassLogger();
    }

    public async Task<ChaosExecutionResult> ExecuteAsync()
    {
        try
        {
            _logger.LogInformation("Executing service failure experiment");

            var targetService = _method.Parameters.GetValueOrDefault("targetService", "PaymentService") as string;
            var failureType = _method.Parameters.GetValueOrDefault("failureType", "crash") as string;
            var duration = _method.Duration;

            // Apply service failure
            await ApplyServiceFailureAsync(targetService, failureType, duration);

            return new ChaosExecutionResult
            {
                IsSuccessful = true,
                Duration = duration,
                Details = $"Applied {failureType} failure to {targetService} for {duration}"
            };
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error executing service failure experiment");
            return new ChaosExecutionResult
            {
                IsSuccessful = false,
                Error = ex.Message
            };
        }
    }

    public async Task<ChaosExecutionResult> RollbackAsync()
    {
        try
        {
            _logger.LogInformation("Rolling back service failure experiment");

            // Restore service
            await RestoreServiceAsync();

            return new ChaosExecutionResult
            {
                IsSuccessful = true,
                Details = "Service restored"
            };
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error rolling back service failure experiment");
            return new ChaosExecutionResult
            {
                IsSuccessful = false,
                Error = ex.Message
            };
        }
    }

    private async Task ApplyServiceFailureAsync(string targetService, string failureType, TimeSpan duration)
    {
        switch (failureType.ToLower())
        {
            case "crash":
                await _serviceManager.CrashServiceAsync(targetService);
                break;
            case "slow":
                await _serviceManager.SlowDownServiceAsync(targetService, duration);
                break;
            case "unresponsive":
                await _serviceManager.MakeServiceUnresponsiveAsync(targetService, duration);
                break;
            case "memoryleak":
                await _serviceManager.InjectMemoryLeakAsync(targetService, duration);
                break;
            default:
                throw new ArgumentException($"Unknown failure type: {failureType}");
        }

        _logger.LogInformation("Applied {FailureType} failure to {Service} for {Duration}", 
            failureType, targetService, duration);
    }

    private async Task RestoreServiceAsync()
    {
        // Restore service to normal operation
        await Task.Delay(1000);

        _logger.LogInformation("Service restored to normal operation");
    }
}

public class DatabaseFailureExperiment : IChaosExperiment
{
    private readonly ChaosMethod _method;
    private readonly ILogger<DatabaseFailureExperiment> _logger;
    private readonly IDatabaseManager _databaseManager;

    public DatabaseFailureExperiment(ChaosMethod method, IDatabaseManager databaseManager)
    {
        _method = method;
        _databaseManager = databaseManager;
        _logger = LogManager.GetCurrentClassLogger();
    }

    public async Task<ChaosExecutionResult> ExecuteAsync()
    {
        try
        {
            _logger.LogInformation("Executing database failure experiment");

            var targetDatabase = _method.Parameters.GetValueOrDefault("targetDatabase", "OrdersDb") as string;
            var failureType = _method.Parameters.GetValueOrDefault("failureType", "connection") as string;
            var duration = _method.Duration;

            // Apply database failure
            await ApplyDatabaseFailureAsync(targetDatabase, failureType, duration);

            return new ChaosExecutionResult
            {
                IsSuccessful = true,
                Duration = duration,
                Details = $"Applied {failureType} failure to {targetDatabase} for {duration}"
            };
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error executing database failure experiment");
            return new ChaosExecutionResult
            {
                IsSuccessful = false,
                Error = ex.Message
            };
        }
    }

    public async Task<ChaosExecutionResult> RollbackAsync()
    {
        try
        {
            _logger.LogInformation("Rolling back database failure experiment");

            // Restore database
            await RestoreDatabaseAsync();

            return new ChaosExecutionResult
            {
                IsSuccessful = true,
                Details = "Database restored"
            };
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, "Error rolling back database failure experiment");
            return new ChaosExecutionResult
            {
                IsSuccessful = false,
                Error = ex.Message
            };
        }
    }

    private async Task ApplyDatabaseFailureAsync(string targetDatabase, string failureType, TimeSpan duration)
    {
        switch (failureType.ToLower())
        {
            case "connection":
                await _databaseManager.BreakConnectionsAsync(targetDatabase, duration);
                break;
            case "slow":
                await _databaseManager.SlowDownQueriesAsync(targetDatabase, duration);
                break;
            case "timeout":
                await _databaseManager.InjectTimeoutsAsync(targetDatabase, duration);
                break;
            case "deadlock":
                await _databaseManager.InjectDeadlocksAsync(targetDatabase, duration);
                break;
            default:
                throw new ArgumentException($"Unknown failure type: {failureType}");
        }

        _logger.LogInformation("Applied {FailureType} failure to {Database} for {Duration}", 
            failureType, targetDatabase, duration);
    }

    private async Task RestoreDatabaseAsync()
    {
        // Restore database to normal operation
        await Task.Delay(1000);

        _logger.LogInformation("Database restored to normal operation");
    }
}

public interface IServiceManager
{
    Task CrashServiceAsync(string serviceName);
    Task SlowDownServiceAsync(string serviceName, TimeSpan duration);
    Task MakeServiceUnresponsiveAsync(string serviceName, TimeSpan duration);
    Task InjectMemoryLeakAsync(string serviceName, TimeSpan duration);
}

public interface IDatabaseManager
{
    Task BreakConnectionsAsync(string databaseName, TimeSpan duration);
    Task SlowDownQueriesAsync(string databaseName, TimeSpan duration);
    Task InjectTimeoutsAsync(string databaseName, TimeSpan duration);
    Task InjectDeadlocksAsync(string databaseName, TimeSpan duration);
}

public class ChaosAnalysisResult
{
    public string ExperimentId { get; set; }
    public DateTime ExecutedAt { get; set; }
    public TimeSpan ExecutionDuration { get; set; }
    public SteadyStateMetrics SteadyStateBefore { get; set; }
    public SteadyStateMetrics SteadyStateAfter { get; set; }
    public SteadyStateAnalysis SteadyStateAnalysis { get; set; }
    public bool IsSuccessful { get; set; }
    public List<string> Recommendations { get; set; } = new();
    public string Error { get; set; }
}

public class SteadyStateAnalysis
{
    public double ResponseTimeChange { get; set; }
    public double ErrorRateChange { get; set; }
    public double ThroughputChange { get; set; }
    public bool IsWithinAcceptableRange { get; set; }
}

public class SteadyStateMetrics
{
    public double AverageResponseTime { get; set; }
    public double ErrorRate { get; set; }
    public double Throughput { get; set; }
    public DateTime RecordedAt { get; set; }
}

public class ChaosExperimentResult
{
    public string ExperimentId { get; set; }
    public ChaosAnalysisResult Analysis { get; set; }
    public DateTime CreatedAt { get; set; }
}

Mülakat Soruları¶

Temel Sorular¶

Chaos Engineering nedir?
Cevap: Production sistemlerinde kontrollü failure'ları tetikleyerek resilience test etme.
Steady State nedir?
Cevap: Sistemin normal çalışma durumunda gösterdiği metrikler.
Chaos Experiment nedir?
Cevap: Belirli failure senaryolarını test eden kontrollü deneyler.
Chaos Engineering ne zaman kullanılır?
Cevap: System reliability, fault tolerance, disaster recovery testing.
Chaos Monkey nedir?
Cevap: Netflix'in chaos engineering tool'u, random failure'ları tetikler.

Teknik Sorular¶

Chaos experiment nasıl tasarlanır?
Cevap: Hypothesis, steady state, method, rollback strategy.
Failure injection nasıl implement edilir?
Cevap: Network latency, service failure, database failure, resource exhaustion.
Steady state nasıl ölçülür?
Cevap: Response time, error rate, throughput, availability metrics.
Chaos engineering CI/CD'de nasıl kullanılır?
Cevap: Automated chaos testing, resilience validation, deployment safety.
Chaos engineering risk'leri nasıl minimize edilir?
Cevap: Controlled experiments, rollback strategies, monitoring, gradual rollout.

Best Practices¶

Experiment Design
Clear hypothesis tanımlayın
Steady state metrics belirleyin
Controlled failure scenarios tasarlayın
Rollback strategies implement edin
Execution Strategy
Production'da dikkatli olun
Gradual rollout yapın
Comprehensive monitoring ekleyin
Fast rollback sağlayın
Monitoring & Analysis
Real-time metrics collect edin
Alerting implement edin
Post-experiment analysis yapın
Continuous improvement sağlayın
Team Collaboration
Cross-team communication sağlayın
Experiment planning yapın
Results sharing implement edin
Knowledge transfer yapın
Safety & Compliance
Business impact minimize edin
Compliance requirements follow edin
Risk assessment yapın
Emergency procedures tanımlayın

Chaos Engineering¶

Giriş¶