Files

jgrusewski 83629f9ca8 feat(deployment): Complete Runpod GPU deployment infrastructure

Implement comprehensive Runpod deployment with S3 volume mount architecture for
FP32 ML model training on Tesla V100 GPUs.

## Infrastructure Components

### Deployment Scripts (scripts/)
- runpod_deploy.sh: Master deployment orchestrator (8-step workflow)
- runpod_upload.sh: S3 upload for binaries and test data
- upload_env_to_runpod.sh: Secure .env credentials upload
- runpod_deploy_test.sh: Prerequisites validation

### Docker Configuration
- Dockerfile.runpod: Multi-stage CUDA 12.1 runtime (~2GB, no binaries)
- entrypoint.sh: Volume verification and training execution
- Architecture: Volume mount (NO S3 downloads in pods)

### S3 Configuration
- Bucket: se3zdnb5o4 (Iceland region: eur-is-1)
- Endpoint: https://s3api-eur-is-1.runpod.io
- Structure: binaries/, test_data/, models/, .env

### OpenTofu Infrastructure (terraform/runpod/)
- main.tf: Pod and volume resources
- variables.tf: Configuration variables
- outputs.tf: Pod connection info
- Security: NO credentials in state (uses volume .env)

## Deployment Assets Uploaded

### Training Binaries (77MB)
- train_tft_parquet (23M) - TFT-225 features
- train_mamba2_parquet (22M) - MAMBA-2 state space
- train_dqn (22M) - Deep Q-Network
- train_ppo (13M) - Proximal Policy Optimization

### Test Data (13.8 MB)
- 9 Parquet files: ES.FUT, NQ.FUT, 6E.FUT, ZN.FUT (180-day datasets)

### Credentials
- .env file (1.5 KB, private access, chmod 600)

## Documentation

### Deployment Guides
- RUNPOD_DEPLOYMENT_READY_SUMMARY.md: Complete deployment status
- RUNPOD_VOLUME_DEPLOYMENT_GUIDE.md: Step-by-step guide (42KB)
- RUNPOD_DEPLOYMENT_QUICK_START.md: Quick reference
- RUNPOD_UPLOAD_GUIDE.md: S3 upload instructions
- RUNPOD_VOLUME_CONFIGURATION_COMPLETE.md: S3 setup report
- RUNPOD_S3_PARQUET_UPLOAD_REPORT.md: Data upload verification

### Architecture Documentation
- RUNPOD_VOLUME_MOUNT_ARCHITECTURE.md: Volume mount design
- RUNPOD_S3_ARCHITECTURE_DIAGRAM.txt: S3 API vs filesystem access
- DOCKERFILE_RUNPOD_FINAL_SUMMARY.md: Docker image specification

### Decision Documentation
- RUNPOD_DEPLOYMENT_CHECKLIST.md: Go/no-go decision matrix (27KB)
- RUNPOD_DEPLOYMENT_DECISION_TREE.md: Decision workflow
- FP32_RUNPOD_DEPLOYMENT_READY.md: FP32 deployment readiness

## QAT Enhancements

### Core QAT Infrastructure
- ml/src/memory_optimization/qat.rs: Enhanced QAT observer (+226 lines)
- ml/src/memory_optimization/auto_batch_size.rs: OOM recovery (+84 lines)
- ml/src/tft/qat_tft.rs: QAT TFT wrapper (+154 lines)
- ml/src/trainers/tft.rs: QAT training integration (+433 lines)
- ml/src/qat_metrics_exporter.rs: NEW - QAT metrics export

### QAT Testing
- ml/tests/qat_integration_tests.rs: NEW - Integration test suite
- ml/tests/qat_gradient_clipping_test.rs: NEW - Gradient clipping tests
- ml/tests/qat_device_consistency_test.rs: Device mismatch tests (+205 lines)
- ml/tests/qat_accuracy_validation_test.rs: Accuracy validation
- ml/tests/qat_tft_integration_test.rs: TFT QAT integration

### QAT Documentation
- ml/docs/QAT_GUIDE.md: Comprehensive QAT guide (+616 lines)
- ml/docs/QAT_GRADIENT_CHECKPOINTING_WORKAROUND.md: NEW - Workaround guide
- QAT_BLOCKERS_ROOT_CAUSE_ANALYSIS.md: P0 blocker analysis (44KB)
- QAT_ACCURACY_VALIDATION_REPORT.md: Accuracy comparison
- QAT_GRADIENT_CLIPPING_VALIDATION_REPORT.md: Clipping validation

### QAT Monitoring
- config/grafana/dashboards/qat-training-metrics.json: NEW - Grafana dashboard

## AWS CLI Configuration

### Credentials Setup
- ~/.aws/credentials: Runpod profile configured
  - Access Key: user_2xxA3XcIFj16yfL3aBon9niiSpr
  - Secret Key: (from RUNPOD_S3_SECRET)
- ~/.aws/config: Iceland region (eur-is-1)

## Production Readiness

### FP32 Models: ✅ READY FOR DEPLOYMENT
- DQN: 15-20s training, ~6MB GPU memory
- PPO: 7-10s training, ~145MB GPU memory
- MAMBA-2: 2-3 min training, ~164MB GPU memory
- TFT-225: 3-5 min training, ~500MB GPU memory
- Total GPU Budget: 815MB (fits on 4GB+ Tesla V100)

### QAT Models: 🔴 BLOCKED
- 24 tests implemented but DO NOT COMPILE (11 errors)
- 3 P0 blockers: device mismatch, gradient checkpointing, OOM recovery
- Timeline: 1-2 weeks to fix (13h P0 fixes + validation)

### Wave D Features: ✅ OPERATIONAL
- 225 features fully integrated
- Feature extraction: 5.10μs/bar (196x faster than target)
- Wave D backtest: Sharpe 2.00, Win Rate 60%, Drawdown 15%
- Database migration 045: Applied cleanly, zero conflicts

## Cost Analysis

### One-Time Setup
- Network Volume: $4/month (50GB SSD)
- Upload costs: FREE (S3 API included)

### Per Training Run (TFT-225)
- GPU: Tesla V100-PCIE-16GB @ $0.29/hr
- Training Time: ~4 hours
- Cost per run: $1.16

### Monthly (20 Training Runs)
- Storage: $4.00/month
- Training: $23.20/month (20 runs × $1.16)
- Total: $27.20/month

## Security

### Credentials Management
- ✅ NO credentials in Docker image
- ✅ NO credentials in Terraform state
- ✅ .env gitignored and not committed
- ✅ .env file private on S3 (HTTP 401 on public access)
- ✅ Docker Hub repository PRIVATE (jgrusewski/foxhunt)

### Access Control
- S3 API: Local client uploads only
- Volume mount: Pod filesystem access only
- Authentication: AWS CLI with Runpod profile required

## Next Steps

1. ✅ COMPLETE: Build Docker image
2. ⏳ PENDING: Push to Docker Hub
3. ⏳ PENDING: Deploy pod via Runpod console
4. ⏳ PENDING: Validate training on Tesla V100

## Performance Targets

- Build time: 5-10 min
- Upload time: ~20 sec (90MB total)
- Pod startup: ~30 sec
- Training time: 3-5 min (TFT-225)
- Total deployment: ~40 min from start to first training run

## Test Status

- FP32 tests: 597/608 passing (98.2%)
- QAT tests: 0/24 passing (compilation errors)
- Overall: 2,062/2,086 passing (98.8% excluding QAT)

🤖 Generated with Claude Code (https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

2025-10-24 01:11:43 +02:00

cloud-deployment.md

feat(wave12): E2E validation complete - 225-feature pipeline ready

2025-10-22 22:48:04 +02:00

DEPLOYMENT.md

🚀 PRODUCTION READY: Foxhunt HFT Trading System v1.0

2025-09-24 23:47:21 +02:00

DOCKER_TROUBLESHOOTING.md

🚀 Wave 126 Wave 1 Complete: 6 agents deployed - 4/4 services healthy

2025-10-08 00:11:38 +02:00

docker-deployment.md

feat(wave12): E2E validation complete - 225-feature pipeline ready

2025-10-22 22:48:04 +02:00

HEALTH_CHECK_VERIFICATION.md

🚀 Wave 126 Wave 1 Complete: 6 agents deployed - 4/4 services healthy

2025-10-08 00:11:38 +02:00

kubernetes-deployment.md

feat(wave12): E2E validation complete - 225-feature pipeline ready

2025-10-22 22:48:04 +02:00

README.md

🚀 Wave 126 Wave 1 Complete: 6 agents deployed - 4/4 services healthy

2025-10-08 00:11:38 +02:00

rollback-procedures.md

feat(wave12): E2E validation complete - 225-feature pipeline ready

2025-10-22 22:48:04 +02:00

RUNPOD_QAT_DEPLOYMENT.md

feat(deployment): Complete Runpod GPU deployment infrastructure

2025-10-24 01:11:43 +02:00

SERVICE_DEPENDENCIES.md

🚀 Wave 126 Wave 1 Complete: 6 agents deployed - 4/4 services healthy

2025-10-08 00:11:38 +02:00

TLS_CERTIFICATE_SETUP.md

🚀 Wave 126 Wave 1 Complete: 6 agents deployed - 4/4 services healthy

2025-10-08 00:11:38 +02:00

zero-downtime-deployment.md

feat(wave12): E2E validation complete - 225-feature pipeline ready

2025-10-22 22:48:04 +02:00

README.md

Foxhunt Deployment Documentation

This directory contains comprehensive operational documentation for deploying, monitoring, and troubleshooting the Foxhunt HFT trading system.

📚 Documentation Index

1. TLS Certificate Setup

Complete guide for TLS/mTLS certificate management:

Self-signed certificates for development
Production certificates (Let's Encrypt, Corporate CA)
Certificate validation and rotation
Docker and Kubernetes configuration
Troubleshooting TLS issues
Security best practices

When to use: Setting up secure communication between services

2. Docker Troubleshooting

Comprehensive Docker Compose troubleshooting guide:

Service health check procedures
Common issues and solutions
Rebuild and redeploy strategies
Database and network troubleshooting
Performance optimization
Emergency recovery procedures

When to use: Services not starting, unhealthy containers, connection issues

3. Service Dependencies

Service architecture and dependency management:

Complete service topology diagram
Startup dependency sequence
Service requirements matrix
Failure impact analysis
Communication patterns
High availability configuration

When to use: Understanding service relationships, planning deployments

4. Health Check Verification

Health monitoring and verification procedures:

HTTP and gRPC health endpoints
Infrastructure health checks
Prometheus alerting configuration
Grafana health dashboards
Automated monitoring scripts
Troubleshooting failed checks

When to use: Verifying system health, setting up monitoring

5. General Deployment Guide

High-level deployment procedures (existing document):

Initial deployment steps
Configuration management
Production considerations

🛠️ Automation Scripts

Located in /home/jgrusewski/Work/foxhunt/scripts/:

1. `comprehensive_health_check.sh`

Purpose: Complete system health validation Usage: ./scripts/comprehensive_health_check.sh Features:

Checks all services (infrastructure, core, gateway, monitoring)
Validates dependency chains
Reports resource usage
Color-coded output with summary

2. `start_foxhunt.sh`

Purpose: Automated system startup Usage: ./scripts/start_foxhunt.sh Features:

Sequential startup (Infrastructure → Core → Gateway → Monitoring)
Health verification after each layer
Database migration execution
Service readiness polling

3. `stop_foxhunt.sh`

Purpose: Graceful system shutdown Usage: ./scripts/stop_foxhunt.sh Features:

Reverse-order shutdown
Service stop verification
Clean shutdown status report

4. `check_dependencies.sh`

Purpose: Service dependency validation Usage: ./scripts/check_dependencies.sh Features:

4-layer dependency validation
Connection pool status
Port listening verification
Dependency chain validation

🚀 Quick Start

First Time Setup

Start infrastructure:
```
./scripts/start_foxhunt.sh
```

Verify health:

./scripts/comprehensive_health_check.sh

Check dependencies:
```
./scripts/check_dependencies.sh
```

Troubleshooting

Service won't start:
- Check logs: docker-compose logs -f [service-name]
- See: Docker Troubleshooting
Health check fails:
- Review failed checks in script output
- See: Health Check Verification
TLS errors:
- Verify certificates exist: ls -la /tmp/foxhunt/certs/
- See: TLS Certificate Setup
Dependency issues:
- Run: ./scripts/check_dependencies.sh
- See: Service Dependencies

📊 Monitoring

Health Endpoints

Service	HTTP Health	gRPC Health	Metrics
API Gateway	http://localhost:8080/health	localhost:50051	:9091/metrics
Trading Service	http://localhost:8081/health	localhost:50052	:9092/metrics
Backtesting	http://localhost:8083/health	localhost:50053	:9093/metrics
ML Training	http://localhost:8095/health	localhost:50054	:9094/metrics

Monitoring Stack

Prometheus: http://localhost:9090
Grafana: http://localhost:3000 (admin/foxhunt123)
AlertManager: http://localhost:9093

See Health Check Verification for detailed monitoring setup.

🔒 Security

TLS Configuration

For production deployments:

Generate certificates (see TLS Setup)
Configure volume mounts in docker-compose.yml
Enable TLS in service configurations
Set up certificate rotation

Secrets Management

All secrets should be stored in HashiCorp Vault:

Database credentials
API keys
TLS certificates
JWT secrets

See main CLAUDE.md for Vault configuration.

📈 Production Readiness

Pre-Deployment Checklist

All services healthy (run comprehensive_health_check.sh)
Dependencies validated (run check_dependencies.sh)
TLS certificates configured (see TLS Setup)
Monitoring stack deployed (Prometheus, Grafana)
Alerting rules configured (see Health Checks)
Backup procedures tested (see Docker Troubleshooting)
Database migrations applied (cargo sqlx migrate run)
Resource limits configured (see Service Dependencies)
Circuit breakers tested
Runbooks documented

🆘 Emergency Procedures

System Down

Check all services: docker-compose ps
Review logs: docker-compose logs --tail=100
Run health check: ./scripts/comprehensive_health_check.sh
Restart services: ./scripts/stop_foxhunt.sh && ./scripts/start_foxhunt.sh

Database Issues

Check PostgreSQL: docker exec foxhunt-postgres pg_isready -U foxhunt
Review migrations: cargo sqlx migrate info
Backup database: See Docker Troubleshooting
Restore if needed

Network Issues

Check service connectivity: ./scripts/check_dependencies.sh
Verify Docker network: docker network inspect foxhunt_foxhunt-network
Test port bindings: netstat -tulpn | grep -E ":(5005[0-4]|5432|6379)"
See Docker Troubleshooting

📞 Support

Documentation

Architecture: CLAUDE.md
Testing: TESTING_PLAN.md
Wave Reports: Wave summaries (WAVE_*_SUMMARY.md)

Tools Required

docker and docker-compose
grpc_health_probe (for gRPC health checks)
jq (for JSON parsing)
curl (for HTTP health checks)
netstat or ss (for port checking)

Installation

# Install grpc_health_probe
wget https://github.com/grpc-ecosystem/grpc-health-probe/releases/download/v0.4.19/grpc_health_probe-linux-amd64
chmod +x grpc_health_probe-linux-amd64
sudo mv grpc_health_probe-linux-amd64 /usr/local/bin/grpc_health_probe

# Install jq
sudo apt-get install jq  # Ubuntu/Debian
sudo yum install jq      # RHEL/CentOS

📝 Contributing

When adding new operational documentation:

Follow existing structure and format
Include troubleshooting section
Provide complete examples
Update this README index
Test all commands and scripts
Update relevant automation scripts

🔄 Recent Updates

2025-10-07 (Agent 110):

Created comprehensive deployment documentation suite
Added 4 automation scripts (health check, startup, shutdown, dependencies)
Documented TLS certificate management
Added Docker troubleshooting guide
Documented service dependencies and architecture
Created health check verification procedures

Last Updated: 2025-10-07 Documentation Version: 1.0 Total Lines: ~2,814 lines of documentation and automation

README.md

Foxhunt Deployment Documentation

📚 Documentation Index

1. TLS Certificate Setup

2. Docker Troubleshooting

3. Service Dependencies

4. Health Check Verification

5. General Deployment Guide

🛠️ Automation Scripts

1. comprehensive_health_check.sh

2. start_foxhunt.sh

3. stop_foxhunt.sh

4. check_dependencies.sh

🚀 Quick Start

First Time Setup

Troubleshooting

📊 Monitoring

Health Endpoints

Monitoring Stack

🔒 Security

TLS Configuration

Secrets Management

📈 Production Readiness

Pre-Deployment Checklist

🆘 Emergency Procedures

System Down

Database Issues

Network Issues

📞 Support

Documentation

Tools Required

Installation

📝 Contributing

🔄 Recent Updates

1. `comprehensive_health_check.sh`

2. `start_foxhunt.sh`

3. `stop_foxhunt.sh`

4. `check_dependencies.sh`