7458f1be01
✅ Validation Results: - PPO training: 24.2s (1 epoch, 950 samples, dim=225) - Feature extraction: 105μs/bar (9.5x faster than target) - Model checkpoint: 293KB (147KB actor + 146KB critic) - GPU memory: 145MB used (96.4% headroom) - Zero dimension mismatches 📊 Success Criteria (5/5): ✅ Feature dimension = 225 (Wave C 201 + Wave D 24) ✅ Model state_dim = 225 ✅ Training completed without errors ✅ Checkpoint saved successfully ✅ No dimension mismatch errors 📁 Training Data Ready: - ES.FUT: 2.9MB, 180 days - NQ.FUT: 4.4MB, 180 days - 6E.FUT: 2.8MB, 180 days - ZN.FUT: 65KB, 90 days (clean) 🚀 Next: Full production model retraining (4 models, ~10min GPU time) 🤖 Generated with Claude Code (https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
114 lines
2.3 KiB
Markdown
114 lines
2.3 KiB
Markdown
# Grafana Setup Guide
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**Last Updated**: 2025-10-22
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**Version**: Grafana 10.1+
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---
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## Installation
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```bash
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# Grafana is installed with kube-prometheus-stack
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# Access Grafana
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kubectl port-forward -n monitoring svc/prometheus-grafana 3000:80
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# Get admin password
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kubectl get secret -n monitoring prometheus-grafana -o jsonpath="{.data.admin-password}" | base64 --decode
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```
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---
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## Dashboard Import
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### Foxhunt Trading Dashboard
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```json
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{
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"dashboard": {
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"title": "Foxhunt Trading System",
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"panels": [
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{
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"title": "Order Submission Rate",
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"targets": [
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{
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"expr": "rate(orders_submitted_total[5m])"
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}
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]
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},
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{
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"title": "API Gateway Latency P99",
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"targets": [
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{
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"expr": "histogram_quantile(0.99, rate(grpc_request_duration_seconds_bucket{service=\"api-gateway\"}[5m]))"
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}
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]
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},
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{
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"title": "Active Positions",
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"targets": [
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{
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"expr": "positions_open_total"
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}
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]
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},
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{
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"title": "Database Connection Pool Usage",
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"targets": [
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{
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"expr": "pg_stat_database_numbackends / pg_settings_max_connections * 100"
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}
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]
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}
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]
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}
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}
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```
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---
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## Alert Configuration
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### Critical Alerts
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```yaml
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apiVersion: monitoring.coreos.com/v1
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kind: PrometheusRule
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metadata:
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name: foxhunt-alerts
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namespace: foxhunt
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spec:
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groups:
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- name: foxhunt-critical
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interval: 30s
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rules:
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- alert: HighErrorRate
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expr: rate(grpc_requests_total{code!~"2.."}[5m]) > 0.1
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for: 5m
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labels:
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severity: critical
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annotations:
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summary: "High error rate detected"
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description: "Error rate is {{ $value | humanizePercentage }}"
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- alert: HighLatency
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expr: histogram_quantile(0.99, rate(grpc_request_duration_seconds_bucket[5m])) > 1
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "High latency detected"
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description: "P99 latency is {{ $value }}s"
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- alert: DatabaseDown
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expr: up{job="postgresql"} == 0
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for: 1m
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labels:
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severity: critical
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annotations:
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summary: "PostgreSQL is down"
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```
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---
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**End of Grafana Setup Guide**
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