Machine Learning in Production

  1. Monitoring, Logging, and Maintenance
    1. Monitoring Strategy
      1. Monitoring Objectives
        1. Key Performance Indicators
          1. Alerting Strategy
          2. System Health Monitoring
            1. Infrastructure Metrics
              1. CPU Utilization
                1. Memory Usage
                  1. Disk I/O
                    1. Network Performance
                    2. Application Metrics
                      1. Latency
                        1. Throughput
                          1. Error Rates
                            1. Availability
                            2. Resource Utilization
                              1. Container Metrics
                                1. Kubernetes Metrics
                                  1. Cloud Resource Monitoring
                                2. Data Monitoring
                                  1. Data Quality Monitoring
                                    1. Completeness Checks
                                      1. Accuracy Validation
                                        1. Consistency Monitoring
                                        2. Data Drift Detection
                                          1. Statistical Drift Detection Methods
                                            1. Threshold Setting
                                              1. Drift Visualization
                                              2. Schema Change Detection
                                                1. Schema Validation Tools
                                                  1. Automated Alerts for Schema Changes
                                                    1. Schema Evolution Tracking
                                                    2. Input Data Validation
                                                      1. Real-time Data Checks
                                                        1. Logging Invalid Inputs
                                                          1. Data Anomaly Detection
                                                        2. Model Performance Monitoring
                                                          1. Prediction Quality Monitoring
                                                            1. Accuracy Tracking
                                                              1. Precision and Recall Monitoring
                                                                1. Custom Metric Tracking
                                                                2. Concept Drift Detection
                                                                  1. Drift Detection Algorithms
                                                                    1. Retraining Triggers
                                                                      1. Performance Degradation Analysis
                                                                      2. Prediction Distribution Monitoring
                                                                        1. Output Distribution Analysis
                                                                          1. Prediction Confidence Monitoring
                                                                            1. Outlier Detection
                                                                            2. Fairness and Bias Monitoring
                                                                              1. Fairness Metrics Calculation
                                                                                1. Bias Detection Tools
                                                                                  1. Demographic Parity Monitoring
                                                                                2. Logging and Observability
                                                                                  1. Structured Logging for ML Systems
                                                                                    1. Log Formats and Standards
                                                                                      1. Logging Sensitive Information
                                                                                        1. Log Aggregation
                                                                                        2. Distributed Tracing
                                                                                          1. Request Tracing
                                                                                            1. Performance Bottleneck Identification
                                                                                              1. Error Propagation Tracking
                                                                                              2. Metrics Collection
                                                                                                1. Custom Metrics
                                                                                                  1. Business Metrics
                                                                                                    1. Technical Metrics
                                                                                                    2. Alerting Systems
                                                                                                      1. Alert Thresholds
                                                                                                        1. Notification Channels
                                                                                                          1. Alert Escalation
                                                                                                        2. Model Explainability in Production
                                                                                                          1. Local Explanations
                                                                                                            1. SHAP Values
                                                                                                              1. LIME Explanations
                                                                                                                1. Counterfactual Explanations
                                                                                                                2. Global Explanations
                                                                                                                  1. Feature Importance Analysis
                                                                                                                    1. Model Summary Reports
                                                                                                                      1. Partial Dependence Plots
                                                                                                                      2. Explanation Serving
                                                                                                                        1. Real-time Explanations
                                                                                                                          1. Explanation APIs
                                                                                                                            1. Explanation Caching
                                                                                                                          2. Model Maintenance and Retraining
                                                                                                                            1. Retraining Strategies
                                                                                                                              1. Scheduled Retraining
                                                                                                                                1. Performance-based Retraining
                                                                                                                                  1. Data Drift-based Retraining
                                                                                                                                    1. Incremental Learning
                                                                                                                                    2. Continuous Training Pipelines
                                                                                                                                      1. Automated Data Collection for Retraining
                                                                                                                                        1. Automated Model Evaluation and Promotion
                                                                                                                                          1. Training Data Management
                                                                                                                                          2. Feedback Loop Management
                                                                                                                                            1. User Feedback Integration
                                                                                                                                              1. Human-in-the-loop Systems
                                                                                                                                                1. Active Learning
                                                                                                                                                2. Model Lifecycle Management
                                                                                                                                                  1. Model Retirement
                                                                                                                                                    1. Model Archival
                                                                                                                                                      1. Model Rollback Strategies
                                                                                                                                                    2. Incident Response
                                                                                                                                                      1. Incident Detection
                                                                                                                                                        1. Automated Alerting
                                                                                                                                                          1. Manual Monitoring
                                                                                                                                                            1. User Reports
                                                                                                                                                            2. Incident Response Procedures
                                                                                                                                                              1. Escalation Procedures
                                                                                                                                                                1. Communication Protocols
                                                                                                                                                                  1. Recovery Procedures
                                                                                                                                                                  2. Post-incident Analysis
                                                                                                                                                                    1. Root Cause Analysis
                                                                                                                                                                      1. Lessons Learned
                                                                                                                                                                        1. Process Improvement

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                                                                                                                                                                    7. MLOps Infrastructure and Tooling