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semi implemented and features implemented save checkpoint

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# 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