Regression Detection in Production

Comprehensive guide to detecting performance regressions in production environments. This guide covers automated regression detection systems, statistical analysis, performance baselines, and intelligent alerting mechanisms for maintaining system performance quality.

Table of Contents

• Introduction
• Regression Detection Framework
• Baseline Management
• Statistical Analysis
• Detection Algorithms
• Automated Alerting
• Root Cause Analysis
• Response Automation
• Best Practices

Introduction

Production regression detection ensures that performance degradations are identified quickly and accurately. This guide provides comprehensive frameworks for implementing intelligent regression detection systems that can distinguish between normal variations and actual performance issues.

Regression Detection Framework

package main

import (
    "context"
    "fmt"
    "math"
    "sync"
    "time"
)

// RegressionDetector manages regression detection in production
type RegressionDetector struct {
    config           RegressionConfig
    baselineManager  *BaselineManager
    analyzer         *StatisticalAnalyzer
    detector         *ChangePointDetector
    alertManager     *AlertManager
    rootCauseAnalyzer *RootCauseAnalyzer
    responseManager  *ResponseManager
    metricsCollector *MetricsCollector
    dataStore        *TimeSeriesDataStore
    modelManager     *ModelManager
    anomalyDetector  *AnomalyDetector
    trendAnalyzer    *TrendAnalyzer
    correlationEngine *CorrelationEngine
    reportGenerator  *ReportGenerator
    notificationHub  *NotificationHub
    auditLogger      *AuditLogger
    mu               sync.RWMutex
    activeDetections map[string]*RegressionDetection
}

// RegressionConfig contains regression detection configuration
type RegressionConfig struct {
    MetricsConfig       MetricsConfig
    BaselineConfig      BaselineConfig
    DetectionConfig     DetectionConfig
    StatisticalConfig   StatisticalConfig
    AlertingConfig      AlertingConfig
    AnalysisConfig      AnalysisConfig
    ResponseConfig      ResponseConfig
    ModelConfig         ModelConfig
    CorrelationConfig   CorrelationConfig
    NotificationConfig  NotificationConfig
    AuditConfig         AuditConfig
    QualityConfig       QualityConfig
    PerformanceConfig   PerformanceConfig
    SecurityConfig      SecurityConfig
    ComplianceConfig    ComplianceConfig
}

// MetricsConfig contains metrics configuration
type MetricsConfig struct {
    Sources         []MetricSource
    Aggregations    []MetricAggregation
    Sampling        SamplingConfig
    Retention       RetentionConfig
    Quality         QualityConfig
    Validation      ValidationConfig
    Enrichment      EnrichmentConfig
    Transformation  TransformationConfig
    Storage         StorageConfig
    Export          ExportConfig
}

// MetricSource defines metric sources
type MetricSource struct {
    Name        string
    Type        SourceType
    Endpoint    string
    Credentials CredentialConfig
    Query       QueryConfig
    Schedule    ScheduleConfig
    Timeout     time.Duration
    Retry       RetryConfig
    Transform   TransformConfig
    Quality     QualityConfig
}

// CredentialConfig contains credential configuration
type CredentialConfig struct {
    Type   CredentialType
    Config map[string]string
}

// CredentialType defines credential types
type CredentialType int

const (
    NoCredentials CredentialType = iota
    BasicCredentials
    TokenCredentials
    CertificateCredentials
    OAuthCredentials
    APIKeyCredentials
)

// QueryConfig contains query configuration
type QueryConfig struct {
    Language   QueryLanguage
    Expression string
    Parameters map[string]interface{}
    Timeout    time.Duration
    Pagination PaginationConfig
}

// QueryLanguage defines query languages
type QueryLanguage int

const (
    PromQLQuery QueryLanguage = iota
    SQLQuery
    InfluxQLQuery
    KustoQuery
    GraphQLQuery
    JSONPathQuery
)

// PaginationConfig contains pagination configuration
type PaginationConfig struct {
    Enabled  bool
    PageSize int
    MaxPages int
}

// ScheduleConfig contains scheduling configuration
type ScheduleConfig struct {
    Interval time.Duration
    Offset   time.Duration
    Jitter   time.Duration
    Timezone string
    Windows  []TimeWindow
}

// RetryConfig contains retry configuration
type RetryConfig struct {
    MaxAttempts int
    Delay       time.Duration
    Backoff     BackoffConfig
    Conditions  []RetryCondition
}

// BackoffConfig contains backoff configuration
type BackoffConfig struct {
    Strategy BackoffStrategy
    Factor   float64
    MaxDelay time.Duration
    Jitter   bool
}

// BackoffStrategy defines backoff strategies
type BackoffStrategy int

const (
    FixedBackoff BackoffStrategy = iota
    LinearBackoff
    ExponentialBackoff
    RandomBackoff
)

// RetryCondition defines retry conditions
type RetryCondition struct {
    Type      ConditionType
    Pattern   string
    Retryable bool
}

// TransformConfig contains transformation configuration
type TransformConfig struct {
    Functions []TransformFunction
    Pipeline  TransformPipeline
    Validation bool
    ErrorHandling ErrorHandlingConfig
}

// TransformFunction defines transformation functions
type TransformFunction struct {
    Name       string
    Type       FunctionType
    Parameters map[string]interface{}
    Order      int
}

// FunctionType defines function types
type FunctionType int

const (
    FilterFunction FunctionType = iota
    MapFunction
    ReduceFunction
    AggregateFunction
    NormalizeFunction
    ValidateFunction
)

// TransformPipeline defines transformation pipeline
type TransformPipeline struct {
    Stages    []PipelineStage
    Parallel  bool
    ErrorMode ErrorMode
}

// ErrorMode defines error handling modes
type ErrorMode int

const (
    FailFastErrorMode ErrorMode = iota
    ContinueErrorMode
    SkipErrorMode
    RetryErrorMode
)

// ErrorHandlingConfig contains error handling configuration
type ErrorHandlingConfig struct {
    Mode        ErrorMode
    MaxErrors   int
    Timeout     time.Duration
    Fallback    FallbackConfig
    Notification bool
}

// FallbackConfig contains fallback configuration
type FallbackConfig struct {
    Enabled bool
    Value   interface{}
    Source  string
    Timeout time.Duration
}

// MetricAggregation defines metric aggregations
type MetricAggregation struct {
    Name     string
    Type     AggregationType
    Window   time.Duration
    Step     time.Duration
    Function AggregationFunction
    Grouping []string
    Filters  []AggregationFilter
}

// AggregationFunction defines aggregation functions
type AggregationFunction int

const (
    SumAggregation AggregationFunction = iota
    AvgAggregation
    MinAggregation
    MaxAggregation
    CountAggregation
    StdDevAggregation
    PercentileAggregation
    RateAggregation
)

// AggregationFilter defines aggregation filters
type AggregationFilter struct {
    Field    string
    Operator FilterOperator
    Value    interface{}
}

// FilterOperator defines filter operators
type FilterOperator int

const (
    EqualFilter FilterOperator = iota
    NotEqualFilter
    LessThanFilter
    GreaterThanFilter
    ContainsFilter
    RegexFilter
)

// SamplingConfig contains sampling configuration
type SamplingConfig struct {
    Strategy SamplingStrategy
    Rate     float64
    Rules    []SamplingRule
    Adaptive bool
}

// SamplingStrategy defines sampling strategies
type SamplingStrategy int

const (
    UniformSampling SamplingStrategy = iota
    StratifiedSampling
    SystematicSampling
    ClusterSampling
    AdaptiveSampling
)

// SamplingRule defines sampling rules
type SamplingRule struct {
    Condition string
    Rate      float64
    Priority  int
}

// RetentionConfig contains retention configuration
type RetentionConfig struct {
    Policies []RetentionPolicy
    Default  time.Duration
    Archive  ArchiveConfig
}

// RetentionPolicy defines retention policies
type RetentionPolicy struct {
    Pattern   string
    Duration  time.Duration
    Downsampling DownsamplingConfig
}

// DownsamplingConfig contains downsampling configuration
type DownsamplingConfig struct {
    Enabled   bool
    Intervals []DownsamplingInterval
}

// DownsamplingInterval defines downsampling intervals
type DownsamplingInterval struct {
    Age        time.Duration
    Resolution time.Duration
    Function   AggregationFunction
}

// ArchiveConfig contains archive configuration
type ArchiveConfig struct {
    Enabled     bool
    Destination string
    Compression bool
    Encryption  bool
    Schedule    ScheduleConfig
}

// EnrichmentConfig contains enrichment configuration
type EnrichmentConfig struct {
    Enabled bool
    Sources []EnrichmentSource
    Rules   []EnrichmentRule
}

// EnrichmentSource defines enrichment sources
type EnrichmentSource struct {
    Name     string
    Type     SourceType
    Endpoint string
    Cache    CacheConfig
}

// CacheConfig contains cache configuration
type CacheConfig struct {
    Enabled bool
    TTL     time.Duration
    Size    int
    Policy  CachePolicy
}

// CachePolicy defines cache policies
type CachePolicy int

const (
    LRUCachePolicy CachePolicy = iota
    LFUCachePolicy
    FIFOCachePolicy
    TTLCachePolicy
)

// EnrichmentRule defines enrichment rules
type EnrichmentRule struct {
    Condition string
    Action    EnrichmentAction
    Fields    []EnrichmentField
}

// EnrichmentAction defines enrichment actions
type EnrichmentAction int

const (
    AddEnrichmentAction EnrichmentAction = iota
    UpdateEnrichmentAction
    RemoveEnrichmentAction
    TransformEnrichmentAction
)

// EnrichmentField defines enrichment fields
type EnrichmentField struct {
    Name   string
    Source string
    Transform string
}

// TransformationConfig contains transformation configuration
type TransformationConfig struct {
    Rules     []TransformationRule
    Functions []CustomFunction
    Pipeline  bool
}

// TransformationRule defines transformation rules
type TransformationRule struct {
    Input     string
    Output    string
    Function  string
    Parameters map[string]interface{}
}

// CustomFunction defines custom functions
type CustomFunction struct {
    Name       string
    Definition string
    Language   FunctionLanguage
    Runtime    RuntimeConfig
}

// FunctionLanguage defines function languages
type FunctionLanguage int

const (
    JavaScriptFunction FunctionLanguage = iota
    PythonFunction
    GoFunction
    SQLFunction
    RegexFunction
)

// RuntimeConfig contains runtime configuration
type RuntimeConfig struct {
    Timeout    time.Duration
    Memory     int64
    CPU        float64
    Concurrent int
}

// StorageConfig contains storage configuration
type StorageConfig struct {
    Type        StorageType
    Connection  string
    Credentials CredentialConfig
    Partitioning PartitionConfig
    Indexing    IndexConfig
    Compression CompressionConfig
    Encryption  EncryptionConfig
}

// StorageType defines storage types
type StorageType int

const (
    MemoryStorage StorageType = iota
    FileStorage
    DatabaseStorage
    TimeSeriesStorage
    ObjectStorage
    DistributedStorage
)

// PartitionConfig contains partitioning configuration
type PartitionConfig struct {
    Strategy PartitionStrategy
    Fields   []string
    Size     int64
    Age      time.Duration
}

// PartitionStrategy defines partitioning strategies
type PartitionStrategy int

const (
    TimePartitioning PartitionStrategy = iota
    HashPartitioning
    RangePartitioning
    CustomPartitioning
)

// IndexConfig contains indexing configuration
type IndexConfig struct {
    Fields   []IndexField
    Strategy IndexStrategy
    Options  IndexOptions
}

// IndexField defines index fields
type IndexField struct {
    Name     string
    Type     IndexType
    Order    IndexOrder
    Unique   bool
}

// IndexType defines index types
type IndexType int

const (
    BTreeIndex IndexType = iota
    HashIndex
    InvertedIndex
    FullTextIndex
    GeoSpatialIndex
)

// IndexOrder defines index ordering
type IndexOrder int

const (
    AscendingOrder IndexOrder = iota
    DescendingOrder
)

// IndexStrategy defines index strategies
type IndexStrategy int

const (
    EagerIndexing IndexStrategy = iota
    LazyIndexing
    AdaptiveIndexing
)

// IndexOptions contains index options
type IndexOptions struct {
    Compression bool
    Parallel    bool
    Background  bool
    Unique      bool
}

// CompressionConfig contains compression configuration
type CompressionConfig struct {
    Enabled   bool
    Algorithm CompressionAlgorithm
    Level     int
    Dictionary bool
}

// CompressionAlgorithm defines compression algorithms
type CompressionAlgorithm int

const (
    GzipCompression CompressionAlgorithm = iota
    ZstdCompression
    LZ4Compression
    SnappyCompression
    BrotliCompression
)

// EncryptionConfig contains encryption configuration
type EncryptionConfig struct {
    Enabled   bool
    Algorithm EncryptionAlgorithm
    KeySize   int
    Mode      EncryptionMode
}

// EncryptionAlgorithm defines encryption algorithms
type EncryptionAlgorithm int

const (
    AESEncryption EncryptionAlgorithm = iota
    ChaCha20Encryption
    RSAEncryption
    ECCEncryption
)

// EncryptionMode defines encryption modes
type EncryptionMode int

const (
    CBCMode EncryptionMode = iota
    GCMMode
    CTRMode
    OFBMode
)

// ExportConfig contains export configuration
type ExportConfig struct {
    Enabled      bool
    Destinations []ExportDestination
    Format       ExportFormat
    Schedule     ScheduleConfig
    Compression  bool
    Encryption   bool
}

// ExportDestination defines export destinations
type ExportDestination struct {
    Name     string
    Type     DestinationType
    Endpoint string
    Auth     AuthConfig
}

// DestinationType defines destination types
type DestinationType int

const (
    FileDestination DestinationType = iota
    S3Destination
    GCSDestination
    AzureDestination
    HTTPDestination
    DatabaseDestination
)

// AuthConfig contains authentication configuration
type AuthConfig struct {
    Type   AuthType
    Config map[string]string
}

// AuthType defines authentication types
type AuthType int

const (
    NoAuth AuthType = iota
    BasicAuth
    BearerAuth
    OAuthAuth
    APIKeyAuth
    CertificateAuth
)

// ExportFormat defines export formats
type ExportFormat int

const (
    JSONExport ExportFormat = iota
    CSVExport
    ParquetExport
    AvroExport
    ProtobufExport
)

// BaselineConfig contains baseline configuration
type BaselineConfig struct {
    Generation    BaselineGeneration
    Update        BaselineUpdate
    Validation    BaselineValidation
    Storage       BaselineStorage
    Comparison    BaselineComparison
    Seasonality   SeasonalityConfig
    Trends        TrendConfig
    Outliers      OutlierConfig
    Quality       QualityConfig
}

// BaselineGeneration contains baseline generation configuration
type BaselineGeneration struct {
    Strategy    GenerationStrategy
    Window      time.Duration
    MinSamples  int
    Confidence  float64
    Methods     []GenerationMethod
    Filters     []BaselineFilter
    Weights     WeightingConfig
}

// GenerationStrategy defines generation strategies
type GenerationStrategy int

const (
    HistoricalBaseline GenerationStrategy = iota
    StatisticalBaseline
    MachineLearningBaseline
    HybridBaseline
    AdaptiveBaseline
)

// GenerationMethod defines generation methods
type GenerationMethod struct {
    Name       string
    Type       MethodType
    Parameters map[string]interface{}
    Weight     float64
    Enabled    bool
}

// MethodType defines method types
type MethodType int

const (
    MedianMethod MethodType = iota
    MeanMethod
    PercentileMethod
    ExponentialSmoothingMethod
    SeasonalMethod
    RegressionMethod
)

// BaselineFilter defines baseline filters
type BaselineFilter struct {
    Name      string
    Type      FilterType
    Condition string
    Enabled   bool
}

// FilterType defines filter types
type FilterType int

const (
    OutlierFilter FilterType = iota
    SeasonalFilter
    TrendFilter
    AnomalyFilter
    QualityFilter
)

// WeightingConfig contains weighting configuration
type WeightingConfig struct {
    Strategy WeightingStrategy
    Decay    float64
    Window   time.Duration
    Custom   map[string]float64
}

// WeightingStrategy defines weighting strategies
type WeightingStrategy int

const (
    UniformWeighting WeightingStrategy = iota
    ExponentialWeighting
    LinearWeighting
    CustomWeighting
    AdaptiveWeighting
)

// BaselineUpdate contains baseline update configuration
type BaselineUpdate struct {
    Strategy   UpdateStrategy
    Frequency  time.Duration
    Triggers   []UpdateTrigger
    Validation UpdateValidation
    Rollback   UpdateRollback
}

// UpdateStrategy defines update strategies
type UpdateStrategy int

const (
    ScheduledUpdate UpdateStrategy = iota
    EventDrivenUpdate
    AdaptiveUpdate
    ManualUpdate
    HybridUpdate
)

// UpdateTrigger defines update triggers
type UpdateTrigger struct {
    Type      TriggerType
    Condition string
    Threshold float64
    Enabled   bool
}

// TriggerType defines trigger types
type TriggerType int

const (
    TimeBasedTrigger TriggerType = iota
    MetricBasedTrigger
    EventBasedTrigger
    ChangeTrigger
    AnomalyTrigger
)

// UpdateValidation contains update validation configuration
type UpdateValidation struct {
    Enabled   bool
    Tests     []ValidationTest
    Threshold float64
    Rollback  bool
}

// ValidationTest defines validation tests
type ValidationTest struct {
    Name      string
    Type      TestType
    Condition string
    Expected  interface{}
    Tolerance float64
}

// TestType defines test types
type TestType int

const (
    StatisticalTest TestType = iota
    TrendTest
    SeasonalityTest
    StabilityTest
    ConsistencyTest
)

// UpdateRollback contains update rollback configuration
type UpdateRollback struct {
    Enabled   bool
    Triggers  []RollbackTrigger
    Strategy  RollbackStrategy
    Timeout   time.Duration
    Validation bool
}

// RollbackStrategy defines rollback strategies
type RollbackStrategy int

const (
    ImmediateRollback RollbackStrategy = iota
    GradualRollback
    ConditionalRollback
    ManualRollback
)

// BaselineValidation contains baseline validation configuration
type BaselineValidation struct {
    Enabled   bool
    Rules     []ValidationRule
    Metrics   []ValidationMetric
    Reports   ValidationReporting
    Actions   []ValidationAction
}

// ValidationRule defines validation rules
type ValidationRule struct {
    Name        string
    Description string
    Condition   string
    Severity    ValidationSeverity
    Action      RuleAction
}

// ValidationSeverity defines validation severity
type ValidationSeverity int

const (
    InfoValidation ValidationSeverity = iota
    WarningValidation
    ErrorValidation
    CriticalValidation
)

// RuleAction defines rule actions
type RuleAction int

const (
    LogRuleAction RuleAction = iota
    AlertRuleAction
    FailRuleAction
    BlockRuleAction
)

// ValidationMetric defines validation metrics
type ValidationMetric struct {
    Name      string
    Type      MetricType
    Threshold float64
    Operator  ComparisonOperator
    Critical  bool
}

// ValidationReporting contains validation reporting configuration
type ValidationReporting struct {
    Enabled    bool
    Format     ReportFormat
    Recipients []string
    Schedule   ScheduleConfig
    Dashboard  bool
}

// ValidationAction defines validation actions
type ValidationAction struct {
    Trigger   ActionTrigger
    Type      ActionType
    Target    string
    Parameters map[string]interface{}
}

// ActionTrigger defines action triggers
type ActionTrigger struct {
    Event     string
    Condition string
    Severity  ValidationSeverity
}

// BaselineStorage contains baseline storage configuration
type BaselineStorage struct {
    Type        StorageType
    Retention   time.Duration
    Versioning  bool
    Compression bool
    Encryption  bool
    Backup      BackupConfig
}

// BackupConfig contains backup configuration
type BackupConfig struct {
    Enabled     bool
    Frequency   time.Duration
    Retention   time.Duration
    Destination string
    Compression bool
    Encryption  bool
}

// BaselineComparison contains baseline comparison configuration
type BaselineComparison struct {
    Methods     []ComparisonMethod
    Sensitivity float64
    Confidence  float64
    Windows     []ComparisonWindow
    Adjustments []ComparisonAdjustment
}

// ComparisonMethod defines comparison methods
type ComparisonMethod struct {
    Name       string
    Type       ComparisonType
    Parameters map[string]interface{}
    Weight     float64
    Enabled    bool
}

// ComparisonType defines comparison types
type ComparisonType int

const (
    StatisticalComparison ComparisonType = iota
    TrendComparison
    PercentileComparison
    RatioComparison
    DifferenceComparison
)

// ComparisonWindow defines comparison windows
type ComparisonWindow struct {
    Duration  time.Duration
    Offset    time.Duration
    Weight    float64
    Seasonal  bool
}

// ComparisonAdjustment defines comparison adjustments
type ComparisonAdjustment struct {
    Type      AdjustmentType
    Factor    float64
    Condition string
    Enabled   bool
}

// AdjustmentType defines adjustment types
type AdjustmentType int

const (
    SeasonalAdjustment AdjustmentType = iota
    TrendAdjustment
    VolumeAdjustment
    NoiseAdjustment
)

// SeasonalityConfig contains seasonality configuration
type SeasonalityConfig struct {
    Detection   SeasonalityDetection
    Modeling    SeasonalityModeling
    Adjustment  SeasonalityAdjustment
    Validation  SeasonalityValidation
}

// SeasonalityDetection contains seasonality detection configuration
type SeasonalityDetection struct {
    Enabled    bool
    Methods    []DetectionMethod
    Periods    []Period
    Confidence float64
    MinSamples int
}

// DetectionMethod defines detection methods
type DetectionMethod struct {
    Name       string
    Type       DetectionType
    Parameters map[string]interface{}
    Weight     float64
}

// DetectionType defines detection types
type DetectionType int

const (
    FFTDetection DetectionType = iota
    ACFDetection
    STLDetection
    X13Detection
    MLDetection
)

// Period defines time periods
type Period struct {
    Name     string
    Duration time.Duration
    Weight   float64
    Active   bool
}

// SeasonalityModeling contains seasonality modeling configuration
type SeasonalityModeling struct {
    Methods    []ModelingMethod
    Parameters ModelingParameters
    Validation ModelingValidation
}

// ModelingMethod defines modeling methods
type ModelingMethod struct {
    Name       string
    Type       ModelingType
    Parameters map[string]interface{}
    Weight     float64
}

// ModelingType defines modeling types
type ModelingType int

const (
    FourierModeling ModelingType = iota
    SplineModeling
    WaveletModeling
    PolynomialModeling
    MLModeling
)

// ModelingParameters contains modeling parameters
type ModelingParameters struct {
    Components int
    Smoothing  float64
    Robustness float64
    Trend      bool
    Residual   bool
}

// ModelingValidation contains modeling validation configuration
type ModelingValidation struct {
    CrossValidation bool
    TestSplit       float64
    Metrics         []string
    Threshold       float64
}

// SeasonalityAdjustment contains seasonality adjustment configuration
type SeasonalityAdjustment struct {
    Enabled bool
    Method  AdjustmentMethod
    Smooth  bool
    Robust  bool
}

// AdjustmentMethod defines adjustment methods
type AdjustmentMethod int

const (
    AdditiveAdjustment AdjustmentMethod = iota
    MultiplicativeAdjustment
    LogAdjustment
    BoxCoxAdjustment
)

// SeasonalityValidation contains seasonality validation configuration
type SeasonalityValidation struct {
    Tests     []SeasonalityTest
    Metrics   []string
    Threshold float64
    Report    bool
}

// SeasonalityTest defines seasonality tests
type SeasonalityTest struct {
    Name      string
    Type      SeasonalityTestType
    Condition string
    Expected  float64
}

// SeasonalityTestType defines seasonality test types
type SeasonalityTestType int

const (
    StationarityTest SeasonalityTestType = iota
    PeriodicityTest
    ConsistencyTest
    StabilityTest
)

// TrendConfig contains trend configuration
type TrendConfig struct {
    Detection  TrendDetection
    Analysis   TrendAnalysis
    Prediction TrendPrediction
    Validation TrendValidation
}

// TrendDetection contains trend detection configuration
type TrendDetection struct {
    Enabled    bool
    Methods    []TrendMethod
    Sensitivity float64
    Window     time.Duration
    MinSamples int
}

// TrendMethod defines trend methods
type TrendMethod struct {
    Name       string
    Type       TrendType
    Parameters map[string]interface{}
    Weight     float64
}

// TrendType defines trend types
type TrendType int

const (
    LinearTrend TrendType = iota
    ExponentialTrend
    PolynomialTrend
    SplineTrend
    ChangePointTrend
)

// TrendAnalysis contains trend analysis configuration
type TrendAnalysis struct {
    Methods     []AnalysisMethod
    Decomposition bool
    Smoothing   SmoothingConfig
    ChangePoints bool
}

// AnalysisMethod defines analysis methods
type AnalysisMethod struct {
    Name       string
    Type       AnalysisType
    Parameters map[string]interface{}
    Weight     float64
}

// AnalysisType defines analysis types
type AnalysisType int

const (
    RegressionAnalysis AnalysisType = iota
    SmoothingAnalysis
    WaveletAnalysis
    FourierAnalysis
    ChangePointAnalysis
)

// SmoothingConfig contains smoothing configuration
type SmoothingConfig struct {
    Method     SmoothingMethod
    Window     time.Duration
    Alpha      float64
    Beta       float64
    Gamma      float64
}

// SmoothingMethod defines smoothing methods
type SmoothingMethod int

const (
    ExponentialSmoothing SmoothingMethod = iota
    MovingAverageSmoothing
    WeightedAverageSmoothing
    KalmanSmoothing
    SplineSmoothing
)

// TrendPrediction contains trend prediction configuration
type TrendPrediction struct {
    Enabled    bool
    Horizon    time.Duration
    Methods    []PredictionMethod
    Confidence float64
    Intervals  bool
}

// PredictionMethod defines prediction methods
type PredictionMethod struct {
    Name       string
    Type       PredictionType
    Parameters map[string]interface{}
    Weight     float64
}

// PredictionType defines prediction types
type PredictionType int

const (
    LinearPrediction PredictionType = iota
    ExponentialPrediction
    ARIMAPrediction
    MLPrediction
    EnsemblePrediction
)

// TrendValidation contains trend validation configuration
type TrendValidation struct {
    Tests     []TrendTest
    Metrics   []string
    Threshold float64
    Report    bool
}

// TrendTest defines trend tests
type TrendTest struct {
    Name      string
    Type      TrendTestType
    Condition string
    Expected  float64
}

// TrendTestType defines trend test types
type TrendTestType int

const (
    SignificanceTest TrendTestType = iota
    StabilityTrendTest
    ConsistencyTrendTest
    DirectionTest
)

// OutlierConfig contains outlier configuration
type OutlierConfig struct {
    Detection  OutlierDetection
    Treatment  OutlierTreatment
    Validation OutlierValidation
    Reporting  OutlierReporting
}

// OutlierDetection contains outlier detection configuration
type OutlierDetection struct {
    Enabled    bool
    Methods    []OutlierMethod
    Sensitivity float64
    Window     time.Duration
    Multiple   bool
}

// OutlierMethod defines outlier methods
type OutlierMethod struct {
    Name       string
    Type       OutlierType
    Parameters map[string]interface{}
    Weight     float64
}

// OutlierType defines outlier types
type OutlierType int

const (
    StatisticalOutlier OutlierType = iota
    IQROutlier
    ZScoreOutlier
    ModifiedZScoreOutlier
    IsolationForestOutlier
)

// OutlierTreatment contains outlier treatment configuration
type OutlierTreatment struct {
    Strategy   TreatmentStrategy
    Replacement ReplacementConfig
    Filtering  FilteringConfig
    Adjustment AdjustmentConfig
}

// TreatmentStrategy defines treatment strategies
type TreatmentStrategy int

const (
    RemoveOutliers TreatmentStrategy = iota
    ReplaceOutliers
    AdjustOutliers
    FlagOutliers
    IgnoreOutliers
)

// ReplacementConfig contains replacement configuration
type ReplacementConfig struct {
    Method ReplacementMethod
    Value  interface{}
    Window time.Duration
}

// ReplacementMethod defines replacement methods
type ReplacementMethod int

const (
    MedianReplacement ReplacementMethod = iota
    MeanReplacement
    InterpolationReplacement
    PreviousValueReplacement
    NextValueReplacement
)

// FilteringConfig contains filtering configuration
type FilteringConfig struct {
    Threshold float64
    Window    time.Duration
    Method    FilterMethod
}

// FilterMethod defines filter methods
type FilterMethod int

const (
    PercentileFilter FilterMethod = iota
    StandardDeviationFilter
    IQRFilter
    CustomFilter
)

// OutlierValidation contains outlier validation configuration
type OutlierValidation struct {
    Enabled   bool
    Tests     []OutlierTest
    Threshold float64
    Report    bool
}

// OutlierTest defines outlier tests
type OutlierTest struct {
    Name      string
    Type      OutlierTestType
    Condition string
    Expected  float64
}

// OutlierTestType defines outlier test types
type OutlierTestType int

const (
    RateTest OutlierTestType = iota
    DistributionTest
    ConsistencyOutlierTest
    ImpactTest
)

// OutlierReporting contains outlier reporting configuration
type OutlierReporting struct {
    Enabled    bool
    Detail     ReportDetail
    Recipients []string
    Schedule   ScheduleConfig
}

// ReportDetail defines report detail levels
type ReportDetail int

const (
    SummaryDetail ReportDetail = iota
    DetailedDetail
    ComprehensiveDetail
)

// DetectionConfig contains detection configuration
type DetectionConfig struct {
    Algorithms      []DetectionAlgorithm
    Sensitivity     SensitivityConfig
    ChangePoints    ChangePointConfig
    Anomalies       AnomalyConfig
    Thresholds      ThresholdConfig
    Windows         WindowConfig
    Confidence      ConfidenceConfig
    Validation      DetectionValidation
}

// DetectionAlgorithm defines detection algorithms
type DetectionAlgorithm struct {
    Name       string
    Type       AlgorithmType
    Parameters map[string]interface{}
    Weight     float64
    Enabled    bool
}

// AlgorithmType defines algorithm types
type AlgorithmType int

const (
    StatisticalAlgorithm AlgorithmType = iota
    MachineLearningAlgorithm
    ThresholdAlgorithm
    ChangePointAlgorithm
    AnomalyAlgorithm
)

// SensitivityConfig contains sensitivity configuration
type SensitivityConfig struct {
    Level     SensitivityLevel
    Custom    map[string]float64
    Adaptive  bool
    Calibration CalibrationConfig
}

// SensitivityLevel defines sensitivity levels
type SensitivityLevel int

const (
    LowSensitivity SensitivityLevel = iota
    MediumSensitivity
    HighSensitivity
    CustomSensitivity
    AdaptiveSensitivity
)

// CalibrationConfig contains calibration configuration
type CalibrationConfig struct {
    Enabled   bool
    Method    CalibrationMethod
    Frequency time.Duration
    Validation bool
}

// CalibrationMethod defines calibration methods
type CalibrationMethod int

const (
    HistoricalCalibration CalibrationMethod = iota
    StatisticalCalibration
    MLCalibration
    FeedbackCalibration
)

// ChangePointConfig contains change point configuration
type ChangePointConfig struct {
    Detection  ChangePointDetection
    Analysis   ChangePointAnalysis
    Validation ChangePointValidation
}

// ChangePointDetection contains change point detection configuration
type ChangePointDetection struct {
    Enabled    bool
    Methods    []ChangePointMethod
    MinDistance time.Duration
    MaxPoints  int
    Penalty    float64
}

// ChangePointMethod defines change point methods
type ChangePointMethod struct {
    Name       string
    Type       ChangePointType
    Parameters map[string]interface{}
    Weight     float64
}

// ChangePointType defines change point types
type ChangePointType int

const (
    CUSUMChangePoint ChangePointType = iota
    BayesianChangePoint
    KernelChangePoint
    SegmentationChangePoint
)

// ChangePointAnalysis contains change point analysis configuration
type ChangePointAnalysis struct {
    Significance float64
    Context      ContextConfig
    Impact       ImpactConfig
    Attribution  AttributionConfig
}

// ContextConfig contains context configuration
type ContextConfig struct {
    Window     time.Duration
    Events     bool
    Deployments bool
    External   bool
}

// ImpactConfig contains impact configuration
type ImpactConfig struct {
    Metrics    []string
    Magnitude  MagnitudeConfig
    Duration   DurationConfig
    Recovery   RecoveryConfig
}

// MagnitudeConfig contains magnitude configuration
type MagnitudeConfig struct {
    Absolute   bool
    Relative   bool
    Percentile float64
    Baseline   bool
}

// DurationConfig contains duration configuration
type DurationConfig struct {
    Immediate  time.Duration
    Sustained  time.Duration
    Recovery   time.Duration
    Threshold  float64
}

// RecoveryConfig contains recovery configuration
type RecoveryConfig struct {
    Detection  bool
    Threshold  float64
    Validation time.Duration
    Automatic  bool
}

// AttributionConfig contains attribution configuration
type AttributionConfig struct {
    Enabled    bool
    Sources    []AttributionSource
    Correlation float64
    Confidence float64
}

// AttributionSource defines attribution sources
type AttributionSource struct {
    Name   string
    Type   SourceType
    Weight float64
    Lag    time.Duration
}

// ChangePointValidation contains change point validation configuration
type ChangePointValidation struct {
    Enabled    bool
    Tests      []ChangePointTest
    Threshold  float64
    FalsePositive FalsePositiveConfig
}

// ChangePointTest defines change point tests
type ChangePointTest struct {
    Name      string
    Type      ChangePointTestType
    Condition string
    Expected  float64
}

// ChangePointTestType defines change point test types
type ChangePointTestType int

const (
    SignificanceChangePointTest ChangePointTestType = iota
    MagnitudeChangePointTest
    DurationChangePointTest
    ConsistencyChangePointTest
)

// FalsePositiveConfig contains false positive configuration
type FalsePositiveConfig struct {
    Rate      float64
    Reduction bool
    Learning  bool
    Feedback  bool
}

// AnomalyConfig contains anomaly configuration
type AnomalyConfig struct {
    Detection  AnomalyDetection
    Analysis   AnomalyAnalysis
    Validation AnomalyValidation
}

// AnomalyDetection contains anomaly detection configuration
type AnomalyDetection struct {
    Enabled    bool
    Methods    []AnomalyMethod
    Ensemble   bool
    Streaming  bool
    Batch      bool
}

// AnomalyMethod defines anomaly methods
type AnomalyMethod struct {
    Name       string
    Type       AnomalyType
    Parameters map[string]interface{}
    Weight     float64
}

// AnomalyType defines anomaly types
type AnomalyType int

const (
    StatisticalAnomaly AnomalyType = iota
    MLAnomaly
    ThresholdAnomaly
    PatternAnomaly
    ContextualAnomaly
)

// AnomalyAnalysis contains anomaly analysis configuration
type AnomalyAnalysis struct {
    Severity    SeverityConfig
    Context     ContextConfig
    Impact      ImpactConfig
    Root Cause  RootCauseConfig
}

// SeverityConfig contains severity configuration
type SeverityConfig struct {
    Levels    []SeverityLevel
    Thresholds []SeverityThreshold
    Escalation SeverityEscalation
}

// SeverityLevel defines severity levels
type SeverityLevel struct {
    Name        string
    Value       int
    Description string
    Color       string
}

// SeverityThreshold defines severity thresholds
type SeverityThreshold struct {
    Level     int
    Metric    string
    Threshold float64
    Operator  ComparisonOperator
}

// SeverityEscalation contains severity escalation configuration
type SeverityEscalation struct {
    Enabled   bool
    Rules     []EscalationRule
    Timeout   time.Duration
    MaxLevel  int
}

// EscalationRule defines escalation rules
type EscalationRule struct {
    From      int
    To        int
    Condition string
    Delay     time.Duration
}

// RootCauseConfig contains root cause configuration
type RootCauseConfig struct {
    Enabled    bool
    Methods    []RootCauseMethod
    Correlation float64
    Timeout    time.Duration
}

// RootCauseMethod defines root cause methods
type RootCauseMethod struct {
    Name       string
    Type       RootCauseType
    Parameters map[string]interface{}
    Weight     float64
}

// RootCauseType defines root cause types
type RootCauseType int

const (
    CorrelationRootCause RootCauseType = iota
    CausalRootCause
    GraphRootCause
    MLRootCause
)

// AnomalyValidation contains anomaly validation configuration
type AnomalyValidation struct {
    Enabled   bool
    Tests     []AnomalyTest
    Threshold float64
    Feedback  bool
}

// AnomalyTest defines anomaly tests
type AnomalyTest struct {
    Name      string
    Type      AnomalyTestType
    Condition string
    Expected  float64
}

// AnomalyTestType defines anomaly test types
type AnomalyTestType int

const (
    AccuracyTest AnomalyTestType = iota
    PrecisionTest
    RecallTest
    F1Test
)

// ThresholdConfig contains threshold configuration
type ThresholdConfig struct {
    Static    StaticThresholdConfig
    Dynamic   DynamicThresholdConfig
    Adaptive  AdaptiveThresholdConfig
    Machine Learning MLThresholdConfig
}

// StaticThresholdConfig contains static threshold configuration
type StaticThresholdConfig struct {
    Enabled    bool
    Thresholds []StaticThreshold
    Override   bool
}

// StaticThreshold defines static thresholds
type StaticThreshold struct {
    Metric    string
    Operator  ComparisonOperator
    Value     float64
    Severity  int
    Enabled   bool
}

// DynamicThresholdConfig contains dynamic threshold configuration
type DynamicThresholdConfig struct {
    Enabled   bool
    Methods   []DynamicMethod
    Window    time.Duration
    Update    time.Duration
}

// DynamicMethod defines dynamic methods
type DynamicMethod struct {
    Name       string
    Type       DynamicType
    Parameters map[string]interface{}
    Weight     float64
}

// DynamicType defines dynamic types
type DynamicType int

const (
    PercentileDynamic DynamicType = iota
    StandardDeviationDynamic
    MovingAverageDynamic
    ExponentialSmoothingDynamic
)

// AdaptiveThresholdConfig contains adaptive threshold configuration
type AdaptiveThresholdConfig struct {
    Enabled    bool
    Learning   LearningConfig
    Adjustment AdjustmentConfig
    Validation AdaptiveValidation
}

// LearningConfig contains learning configuration
type LearningConfig struct {
    Method     LearningMethod
    Rate       float64
    Window     time.Duration
    Feedback   bool
}

// LearningMethod defines learning methods
type LearningMethod int

const (
    OnlineLearning LearningMethod = iota
    BatchLearning
    ReinforcementLearning
    UnsupervisedLearning
)

// AdaptiveValidation contains adaptive validation configuration
type AdaptiveValidation struct {
    Enabled   bool
    Metrics   []string
    Threshold float64
    Rollback  bool
}

// MLThresholdConfig contains ML threshold configuration
type MLThresholdConfig struct {
    Enabled    bool
    Models     []MLModel
    Ensemble   bool
    Training   TrainingConfig
    Prediction PredictionConfig
}

// MLModel defines ML models
type MLModel struct {
    Name       string
    Type       ModelType
    Parameters map[string]interface{}
    Weight     float64
    Enabled    bool
}

// ModelType defines model types
type ModelType int

const (
    LinearModel ModelType = iota
    TreeModel
    NeuralNetworkModel
    EnsembleModel
    TimeSeriesModel
)

// TrainingConfig contains training configuration
type TrainingConfig struct {
    Data       TrainingData
    Validation TrainingValidation
    Schedule   TrainingSchedule
    Resources  TrainingResources
}

// TrainingData contains training data configuration
type TrainingData struct {
    Sources   []DataSource
    Window    time.Duration
    Features  []Feature
    Target    Target
    Split     DataSplit
}

// DataSource defines data sources
type DataSource struct {
    Name     string
    Type     SourceType
    Query    QueryConfig
    Transform TransformConfig
}

// Feature defines features
type Feature struct {
    Name      string
    Type      FeatureType
    Transform FeatureTransform
    Importance float64
}

// FeatureType defines feature types
type FeatureType int

const (
    NumericFeature FeatureType = iota
    CategoricalFeature
    TextFeature
    TimeFeature
    CompositeFeature
)

// FeatureTransform defines feature transforms
type FeatureTransform struct {
    Method     TransformMethod
    Parameters map[string]interface{}
    Chain      bool
}

// TransformMethod defines transform methods
type TransformMethod int

const (
    NormalizationTransform TransformMethod = iota
    StandardizationTransform
    EncodingTransform
    BinningTransform
    PolynomialTransform
)

// Target defines targets
type Target struct {
    Name      string
    Type      TargetType
    Transform TargetTransform
}

// TargetType defines target types
type TargetType int

const (
    BinaryTarget TargetType = iota
    MultiClassTarget
    RegressionTarget
    TimeSeriesTarget
)

// TargetTransform defines target transforms
type TargetTransform struct {
    Method     TransformMethod
    Parameters map[string]interface{}
}

// DataSplit contains data split configuration
type DataSplit struct {
    Method      SplitMethod
    TrainRatio  float64
    TestRatio   float64
    ValidRatio  float64
    TimeAware   bool
}

// SplitMethod defines split methods
type SplitMethod int

const (
    RandomSplit SplitMethod = iota
    StratifiedSplit
    TimeSplit
    GroupSplit
)

// TrainingValidation contains training validation configuration
type TrainingValidation struct {
    Method     ValidationMethod
    Folds      int
    Metrics    []string
    Threshold  float64
    EarlyStopping EarlyStoppingConfig
}

// EarlyStoppingConfig contains early stopping configuration
type EarlyStoppingConfig struct {
    Enabled   bool
    Metric    string
    Patience  int
    Threshold float64
}

// TrainingSchedule contains training schedule configuration
type TrainingSchedule struct {
    Frequency time.Duration
    Triggers  []TrainingTrigger
    Automatic bool
    Manual    bool
}

// TrainingTrigger defines training triggers
type TrainingTrigger struct {
    Type      TriggerType
    Condition string
    Threshold float64
}

// TrainingResources contains training resources configuration
type TrainingResources struct {
    CPU    float64
    Memory int64
    GPU    bool
    Timeout time.Duration
}

// PredictionConfig contains prediction configuration
type PredictionConfig struct {
    Interval   time.Duration
    Horizon    time.Duration
    Confidence float64
    Ensemble   bool
    Fallback   PredictionFallback
}

// PredictionFallback contains prediction fallback configuration
type PredictionFallback struct {
    Enabled bool
    Method  FallbackMethod
    Timeout time.Duration
}

// FallbackMethod defines fallback methods
type FallbackMethod int

const (
    StaticFallback FallbackMethod = iota
    HistoricalFallback
    SimpleFallback
    DefaultFallback
)

// WindowConfig contains window configuration
type WindowConfig struct {
    Analysis   WindowAnalysis
    Detection  WindowDetection
    Comparison WindowComparison
    Sliding    SlidingWindowConfig
}

// WindowAnalysis contains window analysis configuration
type WindowAnalysis struct {
    Sizes    []time.Duration
    Overlap  float64
    Adaptive bool
    Quality  WindowQuality
}

// WindowQuality contains window quality configuration
type WindowQuality struct {
    MinSamples int
    MaxGaps    int
    Completeness float64
    Consistency float64
}

// WindowDetection contains window detection configuration
type WindowDetection struct {
    Strategy WindowStrategy
    Size     time.Duration
    Step     time.Duration
    Adaptive bool
}

// WindowStrategy defines window strategies
type WindowStrategy int

const (
    FixedWindow WindowStrategy = iota
    SlidingWindow
    TumblingWindow
    SessionWindow
    AdaptiveWindow
)

// WindowComparison contains window comparison configuration
type WindowComparison struct {
    References []ReferenceWindow
    Alignment  AlignmentConfig
    Weighting  WeightingConfig
}

// ReferenceWindow defines reference windows
type ReferenceWindow struct {
    Name     string
    Offset   time.Duration
    Duration time.Duration
    Weight   float64
    Seasonal bool
}

// AlignmentConfig contains alignment configuration
type AlignmentConfig struct {
    Method    AlignmentMethod
    Tolerance time.Duration
    Fill      FillMethod
}

// AlignmentMethod defines alignment methods
type AlignmentMethod int

const (
    TimeAlignment AlignmentMethod = iota
    EventAlignment
    PatternAlignment
    AdaptiveAlignment
)

// FillMethod defines fill methods
type FillMethod int

const (
    NoFill FillMethod = iota
    ForwardFill
    BackwardFill
    InterpolationFill
    DefaultFill
)

// SlidingWindowConfig contains sliding window configuration
type SlidingWindowConfig struct {
    Size     time.Duration
    Step     time.Duration
    Overlap  float64
    Adaptive bool
    Quality  WindowQuality
}

// ConfidenceConfig contains confidence configuration
type ConfidenceConfig struct {
    Level      float64
    Intervals  bool
    Bayesian   bool
    Bootstrap  BootstrapConfig
    Statistical StatisticalConfig
}

// BootstrapConfig contains bootstrap configuration
type BootstrapConfig struct {
    Enabled    bool
    Samples    int
    Replacement bool
    Seed       int64
}

// StatisticalConfig contains statistical configuration
type StatisticalConfig struct {
    Tests      []StatisticalTest
    Corrections []Correction
    Power      PowerConfig
}

// StatisticalTest defines statistical tests
type StatisticalTest struct {
    Name       string
    Type       StatisticalTestType
    Parameters map[string]interface{}
    Alpha      float64
}

// StatisticalTestType defines statistical test types
type StatisticalTestType int

const (
    TTest StatisticalTestType = iota
    WilcoxonTest
    KSTest
    AndersonTest
    ShapiroTest
)

// Correction defines corrections
type Correction struct {
    Method CorrectionMethod
    Alpha  float64
}

// CorrectionMethod defines correction methods
type CorrectionMethod int

const (
    BonferroniCorrection CorrectionMethod = iota
    HolmCorrection
    BenjaminiCorrection
    FDRCorrection
)

// PowerConfig contains power configuration
type PowerConfig struct {
    Analysis bool
    MinPower float64
    Effect   EffectConfig
}

// EffectConfig contains effect configuration
type EffectConfig struct {
    Size     float64
    Type     EffectType
    Practical bool
}

// EffectType defines effect types
type EffectType int

const (
    CohenEffect EffectType = iota
    GlassEffect
    HedgesEffect
    CustomEffect
)

// DetectionValidation contains detection validation configuration
type DetectionValidation struct {
    Enabled    bool
    Methods    []ValidationMethod
    Metrics    []ValidationMetric
    Threshold  float64
    CrossValidation CrossValidationConfig
}

// CrossValidationConfig contains cross-validation configuration
type CrossValidationConfig struct {
    Enabled bool
    Folds   int
    TimeAware bool
    Stratified bool
}

// Component type definitions for remaining complex types
type RegressionDetection struct{}
type BaselineManager struct{}
type StatisticalAnalyzer struct{}
type ChangePointDetector struct{}
type AlertManager struct{}
type RootCauseAnalyzer struct{}
type ResponseManager struct{}
type MetricsCollector struct{}
type TimeSeriesDataStore struct{}
type ModelManager struct{}
type AnomalyDetector struct{}
type TrendAnalyzer struct{}
type CorrelationEngine struct{}
type ReportGenerator struct{}
type NotificationHub struct{}
type AuditLogger struct{}
type SourceType struct{}
type ConditionType struct{}
type ActionType struct{}
type MetricType struct{}
type AggregationType struct{}
type ValidationMethod struct{}
type ComparisonOperator struct{}
type ReportFormat struct{}
type QualityConfig struct{}
type ScheduleConfig struct{}
type RetryPolicy struct{}
type AnalysisConfig struct{}
type ResponseConfig struct{}
type ModelConfig struct{}
type CorrelationConfig struct{}
type NotificationConfig struct{}
type AuditConfig struct{}
type PerformanceConfig struct{}
type SecurityConfig struct{}
type ComplianceConfig struct{}
type TrendDirection struct{}
type PipelineStage struct{}
type TimeWindow struct{}

// NewRegressionDetector creates a new regression detector
func NewRegressionDetector(config RegressionConfig) *RegressionDetector {
    return &RegressionDetector{
        config:            config,
        baselineManager:   &BaselineManager{},
        analyzer:          &StatisticalAnalyzer{},
        detector:          &ChangePointDetector{},
        alertManager:      &AlertManager{},
        rootCauseAnalyzer: &RootCauseAnalyzer{},
        responseManager:   &ResponseManager{},
        metricsCollector:  &MetricsCollector{},
        dataStore:         &TimeSeriesDataStore{},
        modelManager:      &ModelManager{},
        anomalyDetector:   &AnomalyDetector{},
        trendAnalyzer:     &TrendAnalyzer{},
        correlationEngine: &CorrelationEngine{},
        reportGenerator:   &ReportGenerator{},
        notificationHub:   &NotificationHub{},
        auditLogger:       &AuditLogger{},
        activeDetections:  make(map[string]*RegressionDetection),
    }
}

// DetectRegressions analyzes metrics for performance regressions
func (r *RegressionDetector) DetectRegressions(ctx context.Context, metrics []MetricPoint) ([]*RegressionDetection, error) {
    r.mu.Lock()
    defer r.mu.Unlock()

    fmt.Printf("Analyzing %d metric points for regressions...\n", len(metrics))

    var detections []*RegressionDetection

    // Analyze each metric
    for _, metric := range metrics {
        detection, err := r.analyzeMetric(ctx, metric)
        if err != nil {
            return nil, fmt.Errorf("metric analysis failed for %s: %w", metric.Name, err)
        }

        if detection != nil {
            detections = append(detections, detection)
            r.activeDetections[detection.ID] = detection
        }
    }

    // Perform correlation analysis
    if len(detections) > 1 {
        if err := r.performCorrelationAnalysis(ctx, detections); err != nil {
            fmt.Printf("Correlation analysis failed: %v\n", err)
        }
    }

    // Generate alerts
    for _, detection := range detections {
        if err := r.generateAlert(ctx, detection); err != nil {
            fmt.Printf("Alert generation failed for %s: %v\n", detection.ID, err)
        }
    }

    fmt.Printf("Regression detection completed. Found %d regressions.\n", len(detections))

    return detections, nil
}

// MetricPoint represents a metric data point
type MetricPoint struct {
    Name      string
    Value     float64
    Timestamp time.Time
    Tags      map[string]string
    Metadata  map[string]interface{}
}

func (r *RegressionDetector) analyzeMetric(ctx context.Context, metric MetricPoint) (*RegressionDetection, error) {
    // Metric analysis logic
    fmt.Printf("Analyzing metric: %s\n", metric.Name)

    // Simulate regression detection
    if metric.Value > 100 { // Simple threshold for demo
        detection := &RegressionDetection{
            ID:          fmt.Sprintf("regression-%d", time.Now().Unix()),
            MetricName:  metric.Name,
            DetectedAt:  time.Now(),
            Severity:    "HIGH",
            Description: fmt.Sprintf("Performance regression detected in %s", metric.Name),
            Value:       metric.Value,
            Baseline:    90.0,
            Deviation:   metric.Value - 90.0,
            Confidence:  0.95,
            Status:      "ACTIVE",
        }
        return detection, nil
    }

    return nil, nil
}

func (r *RegressionDetector) performCorrelationAnalysis(ctx context.Context, detections []*RegressionDetection) error {
    // Correlation analysis logic
    fmt.Println("Performing correlation analysis...")
    return nil
}

func (r *RegressionDetector) generateAlert(ctx context.Context, detection *RegressionDetection) error {
    // Alert generation logic
    fmt.Printf("Generating alert for regression: %s\n", detection.ID)
    return nil
}

// Example usage
func ExampleRegressionDetection() {
    config := RegressionConfig{
        DetectionConfig: DetectionConfig{
            Sensitivity: SensitivityConfig{
                Level: MediumSensitivity,
            },
        },
        AlertingConfig: AlertingConfig{}, // Would be properly configured
    }

    detector := NewRegressionDetector(config)

    // Sample metrics
    metrics := []MetricPoint{
        {
            Name:      "response_time",
            Value:     150.0, // Elevated response time
            Timestamp: time.Now(),
            Tags:      map[string]string{"service": "api"},
        },
        {
            Name:      "throughput",
            Value:     80.0, // Normal throughput
            Timestamp: time.Now(),
            Tags:      map[string]string{"service": "api"},
        },
    }

    ctx := context.Background()
    detections, err := detector.DetectRegressions(ctx, metrics)
    if err != nil {
        fmt.Printf("Regression detection failed: %v\n", err)
        return
    }

    fmt.Printf("Detected %d regressions\n", len(detections))
    for _, detection := range detections {
        fmt.Printf("- %s: %s (confidence: %.2f)\n", 
            detection.MetricName, detection.Description, detection.Confidence)
    }
}

Baseline Management

Comprehensive baseline management for accurate regression detection.

Dynamic Baselines

Adaptive baseline calculation based on historical patterns and trends.

Seasonal Adjustments

Automatic adjustment for seasonal variations and cyclical patterns.

Baseline Validation

Continuous validation and updating of baseline accuracy.

Multi-dimensional Baselines

Context-aware baselines considering multiple dimensions and factors.

Statistical Analysis

Advanced statistical methods for regression detection.

Change Point Detection

Sophisticated algorithms for detecting significant changes in metrics.

Trend Analysis

Comprehensive trend analysis and projection capabilities.

Anomaly Detection

Multi-algorithm anomaly detection with ensemble methods.

Confidence Intervals

Statistical confidence measures for detection accuracy.

Best Practices

1. Adaptive Baselines: Use dynamic baselines that adapt to changing patterns
2. Multiple Algorithms: Combine multiple detection algorithms for accuracy
3. Context Awareness: Consider deployment and environmental context
4. Statistical Rigor: Apply proper statistical methods and validation
5. Fast Detection: Minimize detection latency for rapid response
6. Low False Positives: Tune sensitivity to minimize false alarms
7. Root Cause Integration: Connect detection with root cause analysis
8. Automated Response: Implement automated response capabilities

Summary

Production regression detection provides intelligent performance monitoring:

1. Intelligent Detection: Advanced algorithms for accurate regression identification
2. Adaptive Baselines: Dynamic baseline management with seasonal adjustments
3. Statistical Rigor: Comprehensive statistical analysis and validation
4. Fast Response: Rapid detection and automated response capabilities
5. Context Awareness: Multi-dimensional analysis considering various factors
6. Continuous Learning: Self-improving detection through machine learning

These capabilities enable organizations to maintain high performance standards by quickly identifying and responding to performance degradations in production environments.