foxhunt/PRODUCTION_DEPLOYMENT.md

Foxhunt HFT Trading System - Production Deployment Guide

🚀 Overview

This comprehensive guide provides step-by-step instructions for deploying the Foxhunt HFT Trading System to production environments. The system is designed for ultra-low latency trading with enterprise-grade reliability, security, and compliance.

📋 System Architecture

Production Environment Architecture:
┌─────────────────────────────────────────────────────────────────────────┐
│                          Load Balancer (HAProxy/Nginx)                  │
├─────────────────────────────────────────────────────────────────────────┤
│  Application Layer (CPU Affinity Optimized)                             │
│  ├── Trading Service (Cores 2-5)     - Ultra-low latency execution     │
│  ├── Risk Management (Cores 6-9)     - Real-time risk monitoring       │
│  ├── ML Inference (Cores 10-13)      - CUDA GPU acceleration           │
│  ├── Backtesting Service (Cores 14-17) - Historical analysis           │
│  └── TLI Interface (Cores 18-19)     - Client terminal                  │
├─────────────────────────────────────────────────────────────────────────┤
│  Data Layer (High-Performance Storage)                                  │
│  ├── PostgreSQL Cluster (3 nodes)    - Configuration & audit trails    │
│  ├── InfluxDB Cluster (3 nodes)      - Time series market data         │
│  ├── Redis Cluster (6 nodes)         - Ultra-fast caching & pub/sub    │
│  └── ClickHouse Cluster (4 nodes)    - Analytics & reporting           │
├─────────────────────────────────────────────────────────────────────────┤
│  Security & Secrets                                                     │
│  ├── HashiCorp Vault Cluster         - Secrets management              │
│  ├── JWT/mTLS Authentication         - Zero-trust security             │
│  └── Compliance Monitoring           - SOX, MiFID II, Best Execution   │
├─────────────────────────────────────────────────────────────────────────┤
│  Monitoring & Observability                                             │
│  ├── Prometheus + Grafana            - Metrics & dashboards            │
│  ├── ELK Stack                       - Centralized logging             │
│  ├── Jaeger                          - Distributed tracing             │
│  └── Custom Latency Monitoring       - 14ns precision timing           │
└─────────────────────────────────────────────────────────────────────────┘

🔧 Prerequisites

Hardware Requirements

Production Server Specifications:

# Primary Trading Server
CPU: Intel Xeon Gold 6248R (24+ cores, 3.0GHz base, 3.9GHz boost)
     OR AMD EPYC 7543 (32 cores, 2.8GHz base, 3.7GHz boost)
Memory: 128GB DDR4-3200 ECC (minimum)
Storage: 
  - Primary: 2TB NVMe SSD (Samsung 980 PRO or Intel P5800X)
  - Hot Data: 500GB Intel Optane (ultra-low latency)
Network: 25Gbps+ (Mellanox ConnectX-6 or Intel E810)
GPU: NVIDIA RTX 4090 or Tesla V100 (CUDA 12.9+ support)
OS: Ubuntu 22.04 LTS with real-time kernel (PREEMPT_RT)

Network & Colocation:

# Recommended Exchange Proximity
Primary: NYSE/NASDAQ (Mahwah, NJ / Carteret, NJ)
Backup: CME Group (Aurora, IL / Secaucus, NJ)
Latency Target: < 500 microseconds to exchange matching engines
Network: Dedicated fiber with redundant paths

Software Dependencies

Core System Setup:

# Update system and install real-time kernel
sudo apt update && sudo apt full-upgrade -y
sudo apt install -y linux-image-rt-amd64 linux-headers-rt-amd64

# Install development tools and libraries
sudo apt install -y \
    build-essential \
    cmake \
    pkg-config \
    libssl-dev \
    libpq-dev \
    libavx2-dev \
    libnuma-dev \
    librdmacm-dev \
    git \
    curl \
    wget

# Install container runtime
curl -fsSL https://get.docker.com | sh
sudo curl -L "https://github.com/docker/compose/releases/latest/download/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose

# Install Rust toolchain with performance optimizations
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
source ~/.cargo/env
rustup default stable
rustup component add rust-src
rustup target add x86_64-unknown-linux-gnu

# Install CUDA toolkit for GPU acceleration
wget https://developer.download.nvidia.com/compute/cuda/12.4.0/local_installers/cuda_12.4.0_550.54.14_linux.run
sudo sh cuda_12.4.0_550.54.14_linux.run --silent --toolkit
echo 'export PATH=/usr/local/cuda/bin:$PATH' >> ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
source ~/.bashrc

🚀 Deployment Process

Phase 1: Environment Setup

1. Clone and Setup Repository:

# Clone production branch
git clone -b production-hardening https://github.com/your-org/foxhunt.git
cd foxhunt

# Verify system meets requirements
./scripts/check-system-requirements.sh

# Set production environment
export FOXHUNT_ENV=production
export RUST_ENV=production

2. Create Production Environment Configuration:

# Copy and customize production environment
cp .env.production.template .env.production

# Edit with production values
nano .env.production

Production Environment Variables (.env.production):

#============================================================================
# FOXHUNT PRODUCTION ENVIRONMENT CONFIGURATION
#============================================================================

# Environment Settings
ENVIRONMENT=production
RUST_LOG=foxhunt=info,core=debug,trading=info,risk=warn,ml=info
LOG_LEVEL=info
RUST_BACKTRACE=0

# Database Configuration (Production Cluster)
DATABASE_URL=postgresql://foxhunt_user:${POSTGRES_PASSWORD}@postgres-cluster:5432/foxhunt_production
DATABASE_POOL_SIZE=50
DATABASE_MAX_CONNECTIONS=100
DATABASE_CONNECTION_TIMEOUT=30

# Redis Configuration (Cluster Mode)
REDIS_CLUSTER_URL=redis://redis-node-1:7001,redis-node-2:7002,redis-node-3:7003
REDIS_POOL_SIZE=20
REDIS_CONNECTION_TIMEOUT=5000

# InfluxDB Configuration (Time Series Data)
INFLUXDB_URL=http://influxdb-cluster:8086
INFLUXDB_TOKEN=${INFLUX_TOKEN}
INFLUXDB_ORG=Foxhunt
INFLUXDB_BUCKET=trading_data

# ClickHouse Configuration (Analytics)
CLICKHOUSE_URL=http://clickhouse-cluster:8123
CLICKHOUSE_DATABASE=foxhunt_analytics
CLICKHOUSE_USER=foxhunt_analytics
CLICKHOUSE_PASSWORD=${CLICKHOUSE_PASSWORD}

# External API Configuration
DATABENTO_API_KEY=${DATABENTO_API_KEY}
BENZINGA_API_KEY=${BENZINGA_API_KEY}
DATABENTO_DATASET=XNAS.ITCH
BENZINGA_PLAN=pro

# Broker Configuration
# Interactive Brokers
IB_HOST=ib-gateway.internal
IB_PORT=4001
IB_CLIENT_ID=1
IB_ACCOUNT=${IB_ACCOUNT_ID}

# ICMarkets FIX Configuration  
IC_MARKETS_FIX_HOST=fix.icmarkets.com
IC_MARKETS_FIX_PORT=4448
IC_MARKETS_SENDER_COMP_ID=${IC_SENDER_ID}
IC_MARKETS_TARGET_COMP_ID=ICMARKETS
IC_MARKETS_USERNAME=${IC_USERNAME}
IC_MARKETS_PASSWORD=${IC_PASSWORD}

# Performance Optimization
MAX_LATENCY_MICROSECONDS=50
TARGET_LATENCY_NANOSECONDS=14000
ENABLE_SIMD=true
ENABLE_AVX2=true
ENABLE_RDTSC_TIMING=true
CPU_AFFINITY_TRADING=2,3,4,5
CPU_AFFINITY_RISK=6,7,8,9
CPU_AFFINITY_ML=10,11,12,13
MEMORY_POOL_SIZE_GB=32
NUMA_NODE_PREFERENCE=0

# Risk Management Configuration
MAX_DAILY_LOSS_USD=250000.00
MAX_POSITION_SIZE_USD=5000000.00
VAR_CONFIDENCE_LEVEL=0.95
VAR_HOLDING_PERIOD_DAYS=1
STRESS_TEST_SCENARIOS=20
ENABLE_CIRCUIT_BREAKERS=true
KILL_SWITCH_ENABLED=true
EMERGENCY_LIQUIDATION_ENABLED=true

# ML Configuration (GPU Acceleration)
ENABLE_GPU_ACCELERATION=true
CUDA_VISIBLE_DEVICES=0
GPU_MEMORY_FRACTION=0.8
ML_MODEL_UPDATE_INTERVAL_MINUTES=15
ENABLE_ENSEMBLE_MODELS=true
MAMBA_SSM_ENABLED=true
TRANSFORMER_ATTENTION_HEADS=16

# Security Configuration
TLS_ENABLED=true
MUTUAL_TLS_ENABLED=true
JWT_SECRET=${JWT_SECRET_KEY}
JWT_EXPIRATION_HOURS=24
TLS_CERT_PATH=/etc/foxhunt/tls/cert.pem
TLS_KEY_PATH=/etc/foxhunt/tls/key.pem
TLS_CA_PATH=/etc/foxhunt/tls/ca.pem
VAULT_ADDR=http://vault:8200
VAULT_TOKEN=${VAULT_TOKEN}

# Monitoring & Observability
PROMETHEUS_ENDPOINT=http://prometheus:9090
GRAFANA_ENDPOINT=http://grafana:3000
JAEGER_ENDPOINT=http://jaeger:14268
ENABLE_DISTRIBUTED_TRACING=true
METRICS_COLLECTION_INTERVAL_MS=1000
LOG_STRUCTURED_FORMAT=true

# High Availability & Clustering
ENABLE_CLUSTERING=true
CLUSTER_NODES=foxhunt-node-1,foxhunt-node-2,foxhunt-node-3
CLUSTER_PORT=7946
ENABLE_LEADER_ELECTION=true
CONSUL_ENDPOINT=http://consul:8500
HEALTH_CHECK_INTERVAL_SECONDS=10

# Compliance & Audit
ENABLE_AUDIT_LOGGING=true
COMPLIANCE_MODE=STRICT
MiFID_II_ENABLED=true
SOX_COMPLIANCE_ENABLED=true
BEST_EXECUTION_MONITORING=true
TRANSACTION_REPORTING_ENABLED=true
AUDIT_LOG_RETENTION_DAYS=2555  # 7 years

# Trading Configuration
TRADING_ENABLED=true
PAPER_TRADING_MODE=false
ENABLE_SHORT_SELLING=true
ENABLE_OPTIONS_TRADING=false
ENABLE_FUTURES_TRADING=true
ENABLE_CRYPTO_TRADING=false
DEFAULT_ORDER_TYPE=LIMIT
MAX_ORDERS_PER_SECOND=1000
ORDER_ROUTING_INTELLIGENT=true

3. Security Setup:

# Create certificates directory
sudo mkdir -p /etc/foxhunt/tls
sudo mkdir -p /etc/foxhunt/secrets

# Generate production TLS certificates
openssl req -x509 -newkey rsa:4096 \
    -keyout /etc/foxhunt/tls/key.pem \
    -out /etc/foxhunt/tls/cert.pem \
    -days 365 -nodes \
    -subj "/C=US/ST=NY/L=NYC/O=Foxhunt Trading/OU=Production/CN=foxhunt.internal" \
    -addext "subjectAltName=DNS:foxhunt.internal,DNS:*.foxhunt.internal,IP:127.0.0.1"

# Generate CA certificate for mTLS
openssl req -x509 -newkey rsa:4096 \
    -keyout /etc/foxhunt/tls/ca-key.pem \
    -out /etc/foxhunt/tls/ca.pem \
    -days 365 -nodes \
    -subj "/C=US/ST=NY/L=NYC/O=Foxhunt Trading/OU=CA/CN=Foxhunt Root CA"

# Set proper permissions
sudo chmod 600 /etc/foxhunt/tls/key.pem /etc/foxhunt/tls/ca-key.pem
sudo chmod 644 /etc/foxhunt/tls/cert.pem /etc/foxhunt/tls/ca.pem
sudo chown -R foxhunt:foxhunt /etc/foxhunt/

# Generate JWT signing keys
openssl genrsa -out /etc/foxhunt/secrets/jwt-private.pem 2048
openssl rsa -in /etc/foxhunt/secrets/jwt-private.pem -pubout -out /etc/foxhunt/secrets/jwt-public.pem
sudo chmod 600 /etc/foxhunt/secrets/jwt-*.pem

# Generate secrets for production
export POSTGRES_PASSWORD=$(openssl rand -hex 32)
export REDIS_PASSWORD=$(openssl rand -hex 16)
export INFLUX_TOKEN=$(openssl rand -hex 32)
export CLICKHOUSE_PASSWORD=$(openssl rand -hex 32)
export JWT_SECRET_KEY=$(openssl rand -hex 64)
export VAULT_TOKEN=$(openssl rand -hex 32)

# Store secrets securely
echo "POSTGRES_PASSWORD=$POSTGRES_PASSWORD" >> /etc/foxhunt/secrets/production.env
echo "REDIS_PASSWORD=$REDIS_PASSWORD" >> /etc/foxhunt/secrets/production.env
echo "INFLUX_TOKEN=$INFLUX_TOKEN" >> /etc/foxhunt/secrets/production.env
echo "CLICKHOUSE_PASSWORD=$CLICKHOUSE_PASSWORD" >> /etc/foxhunt/secrets/production.env
echo "JWT_SECRET_KEY=$JWT_SECRET_KEY" >> /etc/foxhunt/secrets/production.env
echo "VAULT_TOKEN=$VAULT_TOKEN" >> /etc/foxhunt/secrets/production.env
sudo chmod 600 /etc/foxhunt/secrets/production.env

Phase 2: Build Production Binaries

1. Configure Build Environment:

# Set production build optimizations
export RUSTFLAGS="-C target-cpu=native -C target-feature=+avx2,+fma,+sse4.2 -C opt-level=3 -C lto=fat"
export CARGO_PROFILE_RELEASE_LTO=fat
export CARGO_PROFILE_RELEASE_CODEGEN_UNITS=1
export CARGO_PROFILE_RELEASE_PANIC=abort

# Enable CUDA build support
export CUDA_ROOT=/usr/local/cuda
export LIBRARY_PATH=$CUDA_ROOT/lib64:$LIBRARY_PATH
export LD_LIBRARY_PATH=$CUDA_ROOT/lib64:$LD_LIBRARY_PATH

2. Build All Services:

# Clean previous builds
cargo clean

# Build production binaries with all optimizations
echo "Building Foxhunt HFT Production Binaries..."
cargo build --release --all-targets \
    --features="production,simd,avx2,cuda,rdtsc,numa" \
    --jobs=$(nproc)

# Verify build artifacts
ls -la target/release/
echo "Build completed successfully!"

# Optional: Strip binaries for smaller size
strip target/release/foxhunt_*
strip target/release/trading_service
strip target/release/backtesting_service
strip target/release/tli

3. Performance Validation:

# Run critical performance tests
echo "Running production performance validation..."

# Test RDTSC timing precision
./target/release/rdtsc_timing_test
# Expected: < 14ns precision

# Test SIMD performance
./target/release/simd_performance_test  
# Expected: 8x+ performance improvement

# Test GPU acceleration
./target/release/gpu_performance_test
# Expected: CUDA 12.9 detection and acceleration

# Test lock-free structures
./target/release/lockfree_performance_test
# Expected: > 1M ops/second

Phase 3: Infrastructure Deployment

1. Database Cluster Setup:

# Start infrastructure services
echo "Deploying production infrastructure..."

# PostgreSQL Cluster (Primary + 2 Replicas)
docker-compose -f docker-compose.infrastructure.yml up -d postgres-primary postgres-replica-1 postgres-replica-2

# Wait for PostgreSQL cluster to be ready
sleep 30
docker exec foxhunt-postgres-primary pg_isready -U postgres

# Run database migrations
echo "Running database migrations..."
export DATABASE_URL="postgresql://postgres:${POSTGRES_PASSWORD}@localhost:5432/foxhunt_production"
./target/release/migrations --up

# Create production database schema
psql $DATABASE_URL -c "
    CREATE USER foxhunt_user WITH ENCRYPTED PASSWORD '$POSTGRES_PASSWORD';
    GRANT ALL PRIVILEGES ON DATABASE foxhunt_production TO foxhunt_user;
    GRANT ALL ON SCHEMA public TO foxhunt_user;
    GRANT ALL PRIVILEGES ON ALL TABLES IN SCHEMA public TO foxhunt_user;
    GRANT ALL PRIVILEGES ON ALL SEQUENCES IN SCHEMA public TO foxhunt_user;
"

# Redis Cluster (6 nodes: 3 masters + 3 replicas)
docker-compose -f docker-compose.infrastructure.yml up -d redis-node-1 redis-node-2 redis-node-3 redis-node-4 redis-node-5 redis-node-6

# Initialize Redis cluster
sleep 15
docker exec foxhunt-redis-node-1 redis-cli --cluster create \
    redis-node-1:7001 redis-node-2:7002 redis-node-3:7003 \
    redis-node-4:7004 redis-node-5:7005 redis-node-6:7006 \
    --cluster-replicas 1 --cluster-yes

# InfluxDB Cluster (3 nodes)
docker-compose -f docker-compose.infrastructure.yml up -d influxdb-1 influxdb-2 influxdb-3

# Setup InfluxDB
sleep 20
docker exec foxhunt-influxdb-1 influx setup \
    --bucket foxhunt_trading \
    --org Foxhunt \
    --username foxhunt_admin \
    --password $INFLUX_TOKEN \
    --retention 90d \
    --force

# ClickHouse Cluster (2 shards, 2 replicas each)
docker-compose -f docker-compose.infrastructure.yml up -d clickhouse-01 clickhouse-02 clickhouse-03 clickhouse-04

2. Security Infrastructure:

# HashiCorp Vault Cluster
echo "Setting up Vault cluster..."
docker-compose -f docker-compose.infrastructure.yml up -d vault-1 vault-2 vault-3

# Initialize Vault
sleep 20
docker exec foxhunt-vault-1 vault operator init -key-shares=5 -key-threshold=3 > vault-keys.txt

# Unseal Vault nodes (all 3)
for i in 1 2 3; do
    for key in $(head -3 vault-keys.txt | awk '{print $4}'); do
        docker exec foxhunt-vault-$i vault operator unseal $key
    done
done

# Configure Vault policies and secrets
VAULT_ROOT_TOKEN=$(grep 'Initial Root Token:' vault-keys.txt | awk '{print $4}')
export VAULT_TOKEN=$VAULT_ROOT_TOKEN

# Store production secrets in Vault
docker exec -e VAULT_TOKEN=$VAULT_TOKEN foxhunt-vault-1 sh -c "
    vault kv put secret/foxhunt/database password=$POSTGRES_PASSWORD
    vault kv put secret/foxhunt/redis password=$REDIS_PASSWORD
    vault kv put secret/foxhunt/influxdb token=$INFLUX_TOKEN
    vault kv put secret/foxhunt/clickhouse password=$CLICKHOUSE_PASSWORD
    vault kv put secret/foxhunt/jwt secret=$JWT_SECRET_KEY
"

3. Monitoring Infrastructure:

# Prometheus + Grafana + ELK Stack
echo "Deploying monitoring infrastructure..."
docker-compose -f docker-compose.monitoring.yml up -d

# Wait for services to start
sleep 30

# Import Grafana dashboards
curl -X POST http://admin:admin@localhost:3000/api/dashboards/db \
    -H 'Content-Type: application/json' \
    -d @monitoring/grafana-dashboards/foxhunt-overview.json

curl -X POST http://admin:admin@localhost:3000/api/dashboards/db \
    -H 'Content-Type: application/json' \
    -d @monitoring/grafana-dashboards/foxhunt-performance.json

curl -X POST http://admin:admin@localhost:3000/api/dashboards/db \
    -H 'Content-Type: application/json' \
    -d @monitoring/grafana-dashboards/foxhunt-risk-management.json

# Configure alerting
curl -X POST http://admin:admin@localhost:3000/api/alert-notifications \
    -H 'Content-Type: application/json' \
    -d @monitoring/alerts/production-alerts.json

Phase 4: Application Deployment

1. Deploy Core Services:

# Start all Foxhunt services
echo "Deploying Foxhunt application services..."

# Source production environment
source /etc/foxhunt/secrets/production.env
source .env.production

# Start services with proper CPU affinity
docker-compose -f docker-compose.production.yml up -d

# Verify services are running
sleep 30
docker-compose -f docker-compose.production.yml ps

# Expected services:
# - foxhunt-trading-service (port 50051)
# - foxhunt-risk-service (port 50052) 
# - foxhunt-ml-service (port 50053)
# - foxhunt-backtesting-service (port 50054)
# - foxhunt-tli (port 3000)

2. Service Health Checks:

# Validate service health
echo "Running service health checks..."

# Trading Service
curl -f http://localhost:50051/health || echo "Trading service health check failed"

# Risk Management Service  
curl -f http://localhost:50052/health || echo "Risk service health check failed"

# ML Service (with GPU check)
curl -f http://localhost:50053/health || echo "ML service health check failed"
curl -f http://localhost:50053/gpu-status || echo "GPU not detected"

# Backtesting Service
curl -f http://localhost:50054/health || echo "Backtesting service health check failed"

# TLI Interface
curl -f http://localhost:3000/health || echo "TLI health check failed"

3. Database Validation:

# Test database connectivity and performance
echo "Validating database performance..."

# PostgreSQL connection test
./target/release/database_validation || echo "Database validation failed"

# Redis cluster test
redis-cli -c -h localhost -p 7001 cluster info

# InfluxDB test
influx ping --host http://localhost:8086

# ClickHouse test  
echo "SELECT version()" | curl -s 'http://localhost:8123/' --data-binary @-

Phase 5: Performance Optimization

1. CPU Affinity and NUMA Optimization:

# Configure CPU isolation for trading cores
echo "Configuring CPU affinity and NUMA optimization..."

# Add to GRUB configuration
sudo sed -i 's/GRUB_CMDLINE_LINUX_DEFAULT="/GRUB_CMDLINE_LINUX_DEFAULT="isolcpus=2-17 nohz_full=2-17 rcu_nocbs=2-17 /' /etc/default/grub
sudo update-grub

# Set CPU governor to performance
echo performance | sudo tee /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor

# Configure NUMA policies
numactl --cpunodebind=0 --membind=0 dockerd &

# Restart services with CPU affinity
docker-compose -f docker-compose.production.yml restart

2. Network Optimization:

# Network stack optimization for ultra-low latency
echo "Optimizing network stack..."

# Increase network buffer sizes
echo 'net.core.rmem_max = 268435456' | sudo tee -a /etc/sysctl.conf
echo 'net.core.wmem_max = 268435456' | sudo tee -a /etc/sysctl.conf
echo 'net.ipv4.tcp_rmem = 4096 131072 268435456' | sudo tee -a /etc/sysctl.conf
echo 'net.ipv4.tcp_wmem = 4096 65536 268435456' | sudo tee -a /etc/sysctl.conf

# Disable TCP timestamps and window scaling for minimal overhead
echo 'net.ipv4.tcp_timestamps = 0' | sudo tee -a /etc/sysctl.conf
echo 'net.ipv4.tcp_window_scaling = 0' | sudo tee -a /etc/sysctl.conf

# Apply changes
sudo sysctl -p

3. Memory Optimization:

# Memory optimization for HFT
echo "Configuring memory optimization..."

# Disable swap completely
sudo swapoff -a
sudo sed -i '/ swap / s/^\(.*\)$/#\1/g' /etc/fstab

# Configure huge pages
echo 2048 | sudo tee /sys/kernel/mm/hugepages/hugepages-2048kB/nr_hugepages
echo 'vm.nr_hugepages=2048' | sudo tee -a /etc/sysctl.conf

# Memory allocation optimization
echo 'vm.overcommit_memory = 1' | sudo tee -a /etc/sysctl.conf
echo 'vm.swappiness = 1' | sudo tee -a /etc/sysctl.conf

sudo sysctl -p

Phase 6: Production Validation

1. End-to-End Integration Tests:

# Comprehensive production testing
echo "Running end-to-end production tests..."

# Trading pipeline test
./target/release/trading_pipeline_test --live-data --duration=300

# Performance benchmarks
./target/release/performance_benchmark --production-mode --iterations=10000

# Risk management validation  
./target/release/risk_validation_test --stress-test --scenarios=50

# ML model inference test
./target/release/ml_inference_test --gpu-enabled --batch-size=1000

2. Load Testing:

# Production load testing
echo "Running production load tests..."

# Market data throughput test
./tests/load_tests/market_data_load_test.sh --rps=100000 --duration=600

# Order submission load test  
./tests/load_tests/order_submission_load_test.sh --orders-per-second=10000 --duration=300

# TLI interface load test
./tests/load_tests/tli_load_test.sh --concurrent-users=100 --duration=300

3. Security Validation:

# Security assessment
echo "Running security validation..."

# TLS configuration test
./scripts/validate-tls-config.sh

# Vulnerability scan
./scripts/production-security-scan.sh

# Penetration testing (external tool)
# nmap -sS -sV -A -O foxhunt.internal

Phase 7: Monitoring Setup

1. Configure Alerts:

# Setup critical production alerts
echo "Configuring production alerting..."

# Latency alerts
curl -X POST http://localhost:9093/api/v1/alerts \
    -H 'Content-Type: application/json' \
    -d '{
        "alerts": [{
            "labels": {
                "alertname": "HighOrderLatency",
                "severity": "critical"
            },
            "annotations": {
                "summary": "Order latency exceeding 50μs threshold"
            }
        }]
    }'

# Service availability alerts
curl -X POST http://localhost:9093/api/v1/alerts \
    -H 'Content-Type: application/json' \
    -d '{
        "alerts": [{
            "labels": {
                "alertname": "ServiceDown",
                "severity": "critical"  
            },
            "annotations": {
                "summary": "Critical Foxhunt service is down"
            }
        }]
    }'

2. Log Aggregation:

# Configure centralized logging
echo "Setting up log aggregation..."

# ELK Stack configuration
curl -X POST "localhost:9200/foxhunt-logs-*/_settings" \
    -H 'Content-Type: application/json' \
    -d '{
        "index": {
            "number_of_replicas": 1,
            "refresh_interval": "5s"
        }
    }'

# Configure log retention
curl -X PUT "localhost:9200/_ilm/policy/foxhunt-logs-policy" \
    -H 'Content-Type: application/json' \
    -d '{
        "policy": {
            "phases": {
                "hot": {
                    "actions": {
                        "rollover": {
                            "max_size": "10GB",
                            "max_age": "7d"
                        }
                    }
                },
                "delete": {
                    "min_age": "90d"
                }
            }
        }
    }'

🔄 Production Operations

Daily Operations Checklist

Morning Startup (Pre-Market):

#!/bin/bash
# daily_startup.sh - Execute before market open

echo "=== Foxhunt Daily Startup Checklist ==="
date

# 1. System health check
echo "1. Checking system health..."
./scripts/health-check.sh

# 2. Performance validation
echo "2. Validating performance..."
./target/release/performance_validation --quick-check

# 3. Risk limits validation
echo "3. Checking risk limits..."
./scripts/validate-risk-limits.sh

# 4. Broker connectivity
echo "4. Testing broker connections..."
./scripts/test-broker-connections.sh

# 5. Market data feeds
echo "5. Validating market data feeds..."
./scripts/validate-market-data.sh

# 6. ML models status
echo "6. Checking ML models..."
./scripts/validate-ml-models.sh

# 7. Enable trading
echo "7. Enabling trading..."
curl -X POST http://localhost:50051/api/v1/trading/enable

echo "=== Startup Complete - Ready for Trading ==="

Market Close Procedures:

#!/bin/bash
# daily_shutdown.sh - Execute after market close

echo "=== Foxhunt Daily Shutdown Procedures ==="
date

# 1. Disable new trading
echo "1. Disabling new trading..."
curl -X POST http://localhost:50051/api/v1/trading/disable

# 2. Close all positions (if required)
echo "2. Closing positions..."
./scripts/close-all-positions.sh --market-close

# 3. Generate daily reports
echo "3. Generating daily reports..."
./scripts/generate-daily-reports.sh

# 4. Backup critical data
echo "4. Running daily backup..."
./backup.sh

# 5. Performance analysis
echo "5. Analyzing daily performance..."
./scripts/daily-performance-analysis.sh

# 6. Risk report
echo "6. Generating risk report..."
./scripts/daily-risk-report.sh

echo "=== Shutdown Procedures Complete ==="

Monitoring and Maintenance

1. Real-time Monitoring:

• Grafana Dashboard: http://localhost:3000/d/foxhunt-overview
• Prometheus Metrics: http://localhost:9090/graph
• Service Logs: docker-compose logs -f --tail=100

2. Key Metrics to Monitor:

# Critical latency metrics (target: <50μs)
order_submission_latency_p99
market_data_processing_latency_p99
risk_check_latency_p99

# System performance
cpu_usage_percent
memory_usage_percent
disk_io_latency
network_latency

# Business metrics
daily_pnl
max_drawdown
sharpe_ratio
orders_per_second
fill_rate

Backup and Disaster Recovery

1. Automated Backup Strategy:

#!/bin/bash
# /etc/cron.daily/foxhunt-backup.sh

BACKUP_DIR="/backup/foxhunt/$(date +%Y%m%d_%H%M%S)"
mkdir -p "$BACKUP_DIR"

# Database backups
pg_dump foxhunt_production | gzip > "$BACKUP_DIR/postgresql.sql.gz"
influx backup /tmp/influx_backup && tar -czf "$BACKUP_DIR/influxdb.tar.gz" /tmp/influx_backup
redis-cli --rdb "$BACKUP_DIR/redis.rdb"

# Configuration backup
cp -r /etc/foxhunt "$BACKUP_DIR/config"
docker exec foxhunt-vault-1 vault kv export secret/ > "$BACKUP_DIR/vault-secrets.json"

# Application state
cp -r ./logs "$BACKUP_DIR/"
cp .env.production "$BACKUP_DIR/"

# Upload to cloud storage (AWS S3)
aws s3 sync "$BACKUP_DIR" "s3://foxhunt-production-backups/$(basename $BACKUP_DIR)" --sse AES256

# Clean up old backups (keep 30 days)
find /backup/foxhunt -type d -mtime +30 -exec rm -rf {} \;

echo "Backup completed: $BACKUP_DIR"

2. Disaster Recovery Procedures:

#!/bin/bash
# disaster_recovery.sh - Complete DR failover

echo "=== DISASTER RECOVERY ACTIVATION ==="
echo "WARNING: This will switch to DR site"
read -p "Continue? (yes/no): " confirm
if [ "$confirm" != "yes" ]; then exit 1; fi

# 1. Activate DR infrastructure
echo "Activating DR infrastructure..."
docker-compose -f docker-compose.dr.yml up -d

# 2. Restore from latest backup
echo "Restoring from backup..."
LATEST_BACKUP=$(aws s3 ls s3://foxhunt-production-backups/ | sort | tail -1 | awk '{print $4}')
aws s3 sync "s3://foxhunt-production-backups/$LATEST_BACKUP" /tmp/restore/

# 3. Database restoration
echo "Restoring databases..."
gunzip < /tmp/restore/postgresql.sql.gz | psql foxhunt_production
influx restore /tmp/restore/influxdb.tar.gz
redis-cli --rdb /tmp/restore/redis.rdb

# 4. Application restart
echo "Starting application services..."
source /tmp/restore/.env.production
docker-compose -f docker-compose.production.yml up -d

# 5. Validation
echo "Validating DR site..."
sleep 60
./scripts/health-check.sh

echo "=== DR ACTIVATION COMPLETE ==="

🚨 Troubleshooting

Common Issues and Solutions

1. High Latency Issues:

# Diagnose latency spikes
echo "Diagnosing latency issues..."

# Check CPU throttling
cat /proc/cpuinfo | grep MHz
sudo cpupower frequency-info

# Check network latency
ping -c 10 ib-gateway.internal
ping -c 10 fix.icmarkets.com

# Check disk I/O
iostat -x 1 10

# Check memory pressure
free -h
cat /proc/meminfo | grep -i available

# Check for CPU contention
htop
ps aux --sort=-%cpu | head -20

2. Database Connection Issues:

# PostgreSQL troubleshooting
echo "Checking PostgreSQL..."
docker exec foxhunt-postgres-primary pg_isready -U postgres
docker logs foxhunt-postgres-primary --tail=50

# Check connection pools
SELECT count(*) FROM pg_stat_activity;
SELECT state, count(*) FROM pg_stat_activity GROUP BY state;

# Redis troubleshooting  
echo "Checking Redis cluster..."
redis-cli -c -h localhost -p 7001 cluster info
redis-cli -c -h localhost -p 7001 cluster nodes

3. Service Restart Procedures:

# Graceful service restart
echo "Restarting services gracefully..."

# Disable trading first
curl -X POST http://localhost:50051/api/v1/trading/disable

# Restart services one by one
docker-compose restart foxhunt-risk-service
sleep 30
docker-compose restart foxhunt-ml-service  
sleep 30
docker-compose restart foxhunt-trading-service
sleep 30

# Re-enable trading
curl -X POST http://localhost:50051/api/v1/trading/enable

echo "Services restarted successfully"

📊 Performance Expectations

Target Performance Metrics:

Order Submission Latency: < 50 microseconds (p99)
Market Data Processing: < 10 microseconds (p99)
Risk Check Latency: < 5 microseconds (p99)
Database Query Time: < 1 millisecond (p95)
Memory Usage: < 80% of available RAM
CPU Usage: < 70% average, < 90% peak
Network Latency: < 500 microseconds to exchanges
GPU Utilization: > 80% during ML inference
Throughput: > 10,000 orders/second sustained
Uptime: 99.99% availability target

🔐 Security Considerations

Production Security Checklist:

• TLS 1.3 encryption for all communications
• mTLS authentication between services
• JWT tokens with 24-hour expiration
• Database connections encrypted
• Secrets stored in HashiCorp Vault
• Network segmentation with firewall rules
• Regular security updates and patches
• Audit logging enabled for all transactions
• Access controls with principle of least privilege
• Regular penetration testing
• Compliance monitoring (SOX, MiFID II)
• Incident response procedures documented

📞 Support and Escalation

Production Support Contacts:

Level 1 Support: +1-XXX-XXX-XXXX
Level 2 Engineering: +1-XXX-XXX-XXXX  
Emergency Escalation: +1-XXX-XXX-XXXX
Compliance Officer: compliance@foxhunt.internal
Risk Manager: risk@foxhunt.internal

Emergency Procedures:

1. Trading Halt: curl -X POST http://localhost:50051/api/v1/emergency/halt
2. Kill Switch: curl -X POST http://localhost:50052/api/v1/kill-switch/activate
3. Position Liquidation: ./scripts/emergency-liquidation.sh
4. System Shutdown: docker-compose down && ./scripts/emergency-shutdown.sh

---

Deployment Status: Production-ready with comprehensive infrastructure Last Updated: 2025-09-24 Version: Production v1.0.0 Validation: All systems tested and verified