docs: Mark Phase 6 (Multi-Resource Correlation) as complete
ALL PHASES COMPLETE! 🎉 Pulse AI now has the full 'moat' architecture: - Phase 1: Historical Context Integration ✅ - Phase 2: Anomaly Detection ✅ - Phase 3: Operational Memory ✅ - Phase 4: Remediation Integration ✅ - Phase 5: Predictive Intelligence ✅ - Phase 6: Multi-Resource Correlation ✅ The AI becomes more valuable the longer Pulse runs by learning: - Metric trends and baselines - Infrastructure changes - Past remediation actions - Failure patterns - Resource dependencies
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@ -267,22 +267,37 @@ Based on historical patterns:
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- OOM events typically occurs every ~14 days (last: 12 days ago, overdue)
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```
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### Phase 6: Multi-Resource Correlation (PLANNED)
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### ✅ Phase 6: Multi-Resource Correlation (COMPLETE)
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**Goal**: Understand relationships between resources.
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**Implemented in `internal/ai/correlation/` package:**
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1. **Automatic Correlation Detection**
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- When A spikes, does B spike?
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- When A restarts, does B show errors?
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- Statistical correlation over time
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- `detector.go` - Correlation detector for multi-resource relationships
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2. **Dependency Mapping**
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- User-provided: "This VM depends on that NFS storage"
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- Inferred: "These 3 containers always restart together"
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**Features:**
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1. **Automatic Correlation Detection** ✅
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- Tracks events across resources
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- Detects temporal relationships (when A happens, B follows)
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- Calculates average delay between correlated events
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- Confidence scoring based on occurrence count
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3. **Cascade Analysis**
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- "If node X goes down, these 5 critical VMs are affected"
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- "Storage Y failing would impact 12 backup jobs"
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2. **Dependency Mapping** ✅
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- GetDependencies() - What resources depend on this one
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- GetDependsOn() - What this resource depends on
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- Inferred from observed event patterns
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3. **Cascade Analysis** ✅
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- PredictCascade() - Predict downstream effects
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- "If storage goes critical, database VM may restart within 5 minutes"
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**Persistence:** `ai_correlations.json`
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**Example AI context now includes:**
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```markdown
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## 🔗 Resource Correlations
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Observed relationships between resources:
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- When local-zfs experiences disk_full, database often follows within 5 minutes
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- When node-1 has high CPU, vm-100 experiences high memory within 3 minutes
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```
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---
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