# Intelligent Rollback System (Predictive + Metric-Driven)

## Module
ReleaseOrchestrator

## Status
IMPLEMENTED

## Description
Predictive rollback engine that forecasts deployment health trajectory using metrics from Prometheus/Datadog/CloudWatch, detects anomalies (Z-score, isolation forest), plans partial component-level rollbacks, and makes automated rollback decisions based on health analysis with baseline comparison.

## Implementation Details
- **Modules**: `src/ReleaseOrchestrator/__Libraries/StellaOps.ReleaseOrchestrator.Deployment/Rollback/`, `src/ReleaseOrchestrator/__Libraries/StellaOps.ReleaseOrchestrator.Deployment/Rollback/Intelligence/`, `src/ReleaseOrchestrator/__Apps/StellaOps.ReleaseOrchestrator.WebApi/Controllers/`
- **Key Classes**:
  - `PredictiveEngine` (`src/ReleaseOrchestrator/__Libraries/StellaOps.ReleaseOrchestrator.Deployment/Rollback/PredictiveEngine.cs`) - forecasts deployment health trajectory from metric streams
  - `RollbackDecider` (`src/ReleaseOrchestrator/__Libraries/StellaOps.ReleaseOrchestrator.Deployment/Rollback/Intelligence/RollbackDecider.cs`) - automated rollback decision-making based on health analysis
  - `AnomalyDetector` (`src/ReleaseOrchestrator/__Libraries/StellaOps.ReleaseOrchestrator.Deployment/Rollback/Intelligence/AnomalyDetector.cs`) - detects anomalies using Z-score and isolation forest algorithms
  - `BaselineManager` (`src/ReleaseOrchestrator/__Libraries/StellaOps.ReleaseOrchestrator.Deployment/Rollback/Intelligence/BaselineManager.cs`) - manages metric baselines for comparison
  - `RollbackIntelligenceController` (`src/ReleaseOrchestrator/__Apps/StellaOps.ReleaseOrchestrator.WebApi/Controllers/RollbackIntelligenceController.cs`) - REST API for rollback intelligence operations
- **Interfaces**: `IPredictiveEngine`
- **Source**: SPRINT_20260117_033

## E2E Test Plan
- [ ] Submit deployment metrics to `PredictiveEngine` and verify health trajectory forecast output
- [ ] Establish a baseline via `BaselineManager` and verify it stores baseline metric profiles
- [ ] Inject anomalous metrics and verify `AnomalyDetector` detects them with Z-score/isolation forest
- [ ] Verify `RollbackDecider` triggers automatic rollback when anomaly thresholds are exceeded
- [ ] Verify partial component-level rollback: only affected components are rolled back
- [ ] Call the `RollbackIntelligenceController` API and verify rollback recommendations are returned