# T4: Advanced Operations & Analytics

## Overview
Advanced operational capabilities for monitoring, visualization, cost optimization, and multi-cluster orchestration. Builds on T1-T3 foundation to enable enterprise-scale deployment.

## Tasks

| Task | Description | Tests | Status |
|------|-------------|-------|--------|
| T4.1 | Real-time metrics dashboard: queryable Prometheus metrics with aggregation | [ ] | 🔜 TODO |
| T4.2 | Workflow visualization & DAG rendering: browser-based workflow inspector | [ ] | 🔜 TODO |
| T4.3 | Advanced search & filtering: Elasticsearch-like task/workflow search | [ ] | 🔜 TODO |
| T4.4 | Cost tracking & optimization: LLM API, git push, compute resource costs | [ ] | 🔜 TODO |
| T4.5 | Automated alerting & anomaly detection: threshold rules, ML-based anomalies | [ ] | 🔜 TODO |
| T4.6 | Workflow profiling & bottleneck analysis: identify slowest tasks | [ ] | 🔜 TODO |
| T4.7 | Multi-cluster orchestration: deploy orchestrators across K8s clusters | [ ] | 🔜 TODO |
| T4.8 | Self-deployment: orchestrator deploys itself (meta!) | [ ] | 🔜 TODO |

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## Implementation Plan

### T4.1: Real-time Metrics Dashboard
- `internal/dashboard/metrics_aggregator.go` - Query Prometheus for metrics
- `internal/dashboard/metrics_aggregator_test.go` - 15 tests
- Features:
  - Aggregate gauge/counter/histogram metrics
  - Time-range queries
  - Percentile calculations (p50, p95, p99)
  - Error rate aggregation
  - Throughput calculations

### T4.2: Workflow Visualization
- `internal/visualization/dag_renderer.go` - DAG graph generation
- `internal/visualization/dag_renderer_test.go` - 12 tests
- Features:
  - Convert dependency graph to DOT format
  - SVG/PNG rendering capability
  - Task status coloring
  - Critical path highlighting
  - Parallel task grouping

### T4.3: Advanced Search & Filtering
- `internal/search/workflow_search.go` - Full-text search
- `internal/search/workflow_search_test.go` - 18 tests
- Features:
  - Index workflows by content
  - Filter by status, date, assignee
  - Full-text search on task descriptions
  - Regex pattern matching
  - Saved filters

### T4.4: Cost Tracking & Optimization
- `internal/cost/cost_tracker.go` - Track compute/API costs
- `internal/cost/cost_tracker_test.go` - 16 tests
- Features:
  - LLM API call costs (tokens × price)
  - Git push operation costs
  - K8s compute resource costs
  - Cost per workflow
  - Cost optimization recommendations

### T4.5: Automated Alerting & Anomaly Detection
- `internal/alerting/alert_manager.go` - Rule-based alerts
- `internal/alerting/alert_manager_test.go` - 20 tests
- Features:
  - Threshold-based alerts
  - Pattern-based anomaly detection
  - Alert routing (email, Slack, PagerDuty)
  - Alert history
  - Deduplication

### T4.6: Workflow Profiling & Bottleneck Analysis
- `internal/profiling/workflow_profiler.go` - Identify slow tasks
- `internal/profiling/workflow_profiler_test.go` - 17 tests
- Features:
  - Per-task execution time breakdown
  - Critical path identification
  - Parallel vs sequential timing
  - Resource utilization per task
  - Optimization suggestions

### T4.7: Multi-cluster Orchestration
- `internal/clusters/cluster_manager.go` - Manage multiple K8s clusters
- `internal/clusters/cluster_manager_test.go` - 19 tests
- Features:
  - Register/discover clusters
  - Route workflows to clusters
  - Cross-cluster task coordination
  - Cluster health monitoring
  - Failover support

### T4.8: Self-Deployment
- `internal/deployment/self_deployer.go` - Orchestrator deploys itself
- `internal/deployment/self_deployer_test.go` - 14 tests
- Features:
  - Build orchestrator container
  - Generate K8s manifests
  - Deploy new version
  - Health check & rollback
  - Version management

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## Test Coverage Target
- T4 Total: **131+ tests** (similar to T3)
- All packages: 100% test pass rate
- Performance benchmarks included

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## Success Criteria
✅ All 8 T4 tasks complete
✅ 131+ tests passing
✅ Dashboard queryable in real-time
✅ DAG visualization renders workflow dependencies
✅ Cost tracking shows savings from T2 optimizations
✅ Anomaly detection catches performance regressions
✅ Multi-cluster deployment supported
✅ Orchestrator can self-deploy

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## Timeline
- T4.1-T4.4: Week 1 (implementation + tests)
- T4.5-T4.8: Week 2 (implementation + tests)
- Integration testing: Week 3
- Production deployment: Week 4