lcbp3/specs/04-Infrastructure-OPS/04-01-docker-compose.md

04.1 Infrastructure Setup & Docker Compose

Project: LCBP3-DMS Version: 1.8.0 Status: Active Owner: Nattanin Peancharoen / DevOps Team Last Updated: 2026-02-23

📍 Primary Server: QNAP TS-473A (Application & Database) 💾 Backup Server: ASUSTOR AS5403T (Infrastructure & Backup)

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📖 Overview

This document serves as the authoritative guide for the environment setup, Docker Compose configurations, and technical infrastructure operations for the LCBP3-DMS deployment. It combines configuration parameters, secrets management, database/cache optimizations, and disaster recovery procedures.

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Environment Setup & Configuration

Project: LCBP3-DMS Version: 1.8.0 Last Updated: 2025-12-02

---

📋 Overview

This document describes environment variables, configuration files, and secrets management for LCBP3-DMS deployment.

---

🔐 Environment Variables

Backend (.env)

# File: backend/.env (DO NOT commit to Git)

# Application
NODE_ENV=production
APP_PORT=3000
APP_URL=https://lcbp3-dms.example.com

# Database
DB_HOST=lcbp3-mariadb
DB_PORT=3306
DB_USER=lcbp3_user
DB_PASS=<STRONG_PASSWORD>
DB_NAME=lcbp3_dms

# Redis
REDIS_HOST=lcbp3-redis
REDIS_PORT=6379
REDIS_PASSWORD=<STRONG_PASSWORD>

# JWT Authentication
JWT_SECRET=<RANDOM_256_BIT_SECRET>
JWT_EXPIRATION=1h
JWT_REFRESH_SECRET=<RANDOM_256_BIT_SECRET>
JWT_REFRESH_EXPIRATION=7d

# File Storage
UPLOAD_DIR=/app/uploads
TEMP_UPLOAD_DIR=/app/uploads/temp
MAX_FILE_SIZE=104857600  # 100MB
ALLOWED_FILE_TYPES=pdf,doc,docx,xls,xlsx,dwg,jpg,png

# SMTP Email
SMTP_HOST=smtp.gmail.com
SMTP_PORT=587
SMTP_USER=noreply@example.com
SMTP_PASS=<APP_PASSWORD>
SMTP_FROM="LCBP3-DMS System <noreply@example.com>"

# LINE Notify (Optional)
LINE_NOTIFY_ENABLED=true

# ClamAV Virus Scanner
CLAMAV_HOST=clamav
CLAMAV_PORT=3310

# Elasticsearch
ELASTICSEARCH_NODE=http://lcbp3-elasticsearch:9200
ELASTICSEARCH_INDEX_PREFIX=lcbp3_

# Logging
LOG_LEVEL=info
LOG_FILE_PATH=/app/logs

# Frontend URL (for email links)
FRONTEND_URL=https://lcbp3-dms.example.com

# Rate Limiting
RATE_LIMIT_TTL=60
RATE_LIMIT_MAX=100

Frontend (.env.local)

# File: frontend/.env.local (DO NOT commit to Git)

# API Backend
NEXT_PUBLIC_API_URL=https://lcbp3-dms.example.com/api

# Application
NEXT_PUBLIC_APP_NAME=LCBP3-DMS
NEXT_PUBLIC_APP_VERSION=1.8.0

# Feature Flags
NEXT_PUBLIC_ENABLE_NOTIFICATIONS=true
NEXT_PUBLIC_ENABLE_LINE_NOTIFY=true

---

🐳 Docker Compose Configuration

Production docker-compose.yml

# File: docker-compose.yml
version: '3.8'

services:
  # NGINX Reverse Proxy
  nginx:
    image: nginx:alpine
    container_name: lcbp3-nginx
    ports:
      - '80:80'
      - '443:443'
    volumes:
      - ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
      - ./nginx/ssl:/etc/nginx/ssl:ro
      - nginx-logs:/var/log/nginx
    depends_on:
      - backend
      - frontend
    restart: unless-stopped
    networks:
      - lcbp3-network

  # NestJS Backend
  backend:
    image: lcbp3-backend:latest
    container_name: lcbp3-backend
    environment:
      - NODE_ENV=production
    env_file:
      - ./backend/.env
    volumes:
      - uploads:/app/uploads
      - backend-logs:/app/logs
    depends_on:
      - mariadb
      - redis
      - elasticsearch
    restart: unless-stopped
    networks:
      - lcbp3-network
    healthcheck:
      test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
      interval: 30s
      timeout: 10s
      retries: 3

  # Next.js Frontend
  frontend:
    image: lcbp3-frontend:latest
    container_name: lcbp3-frontend
    environment:
      - NODE_ENV=production
    env_file:
      - ./frontend/.env.local
    restart: unless-stopped
    networks:
      - lcbp3-network

  # MariaDB Database
  mariadb:
    image: mariadb:11.8
    container_name: lcbp3-mariadb
    environment:
      MYSQL_ROOT_PASSWORD: ${DB_ROOT_PASS}
      MYSQL_DATABASE: ${DB_NAME}
      MYSQL_USER: ${DB_USER}
      MYSQL_PASSWORD: ${DB_PASS}
    volumes:
      - mariadb-data:/var/lib/mysql
      - ./mariadb/init:/docker-entrypoint-initdb.d:ro
    ports:
      - '3306:3306'
    restart: unless-stopped
    networks:
      - lcbp3-network
    command: --character-set-server=utf8mb4 --collation-server=utf8mb4_unicode_ci

  # Redis Cache & Queue
  redis:
    image: redis:7.2-alpine
    container_name: lcbp3-redis
    command: redis-server --requirepass ${REDIS_PASSWORD}
    volumes:
      - redis-data:/data
    ports:
      - '6379:6379'
    restart: unless-stopped
    networks:
      - lcbp3-network

  # Elasticsearch
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:8.11.0
    container_name: lcbp3-elasticsearch
    environment:
      - discovery.type=single-node
      - 'ES_JAVA_OPTS=-Xms512m -Xmx512m'
      - xpack.security.enabled=false
    volumes:
      - elasticsearch-data:/usr/share/elasticsearch/data
    ports:
      - '9200:9200'
    restart: unless-stopped
    networks:
      - lcbp3-network

  # ClamAV (Optional - for virus scanning)
  clamav:
    image: clamav/clamav:latest
    container_name: lcbp3-clamav
    restart: unless-stopped
    networks:
      - lcbp3-network

networks:
  lcbp3-network:
    driver: bridge

volumes:
  mariadb-data:
  redis-data:
  elasticsearch-data:
  uploads:
  backend-logs:
  nginx-logs:

Development docker-compose.override.yml

# File: docker-compose.override.yml (Local development only)
# Add to .gitignore
version: '3.8'

services:
  backend:
    build:
      context: ./backend
      dockerfile: Dockerfile.dev
    volumes:
      - ./backend:/app
      - /app/node_modules
    environment:
      - NODE_ENV=development
      - LOG_LEVEL=debug
    ports:
      - '3000:3000'
      - '9229:9229' # Node.js debugger

  frontend:
    build:
      context: ./frontend
      dockerfile: Dockerfile.dev
    volumes:
      - ./frontend:/app
      - /app/node_modules
      - /app/.next
    ports:
      - '3001:3000'

  mariadb:
    ports:
      - '3307:3306' # Avoid conflict with local MySQL

  redis:
    ports:
      - '6380:6379'

  elasticsearch:
    environment:
      - 'ES_JAVA_OPTS=-Xms256m -Xmx256m' # Lower memory for dev

---

🔑 Secrets Management

Using Docker Secrets (Recommended for Production)

# docker-compose.yml
services:
  backend:
   secrets:
      - db_password
      - jwt_secret
    environment:
      DB_PASS_FILE: /run/secrets/db_password
      JWT_SECRET_FILE: /run/secrets/jwt_secret

secrets:
  db_password:
    file: ./secrets/db_password.txt
  jwt_secret:
    file: ./secrets/jwt_secret.txt

Generate Strong Secrets

# Generate JWT Secret
openssl rand -base64 64

# Generate Database Password
openssl rand -base64 32

# Generate Redis Password
openssl rand -base64 32

---

📁 Directory Structure

lcbp3/
├── backend/
│   ├── .env                 # Backend environment (DO NOT commit)
│   ├── .env.example         # Example template (commit this)
│   └── ...
├── frontend/
│   ├── .env.local           # Frontend environment (DO NOT commit)
│   ├── .env.example         # Example template
│   └── ...
├── nginx/
│   ├── nginx.conf
│   └── ssl/
│       ├── cert.pem
│       └── key.pem
├── secrets/                 # Docker secrets (DO NOT commit)
│   ├── db_password.txt
│   ├── jwt_secret.txt
│   └── redis_password.txt
├── docker-compose.yml       # Production config
└── docker-compose.override.yml  # Development config (DO NOT commit)

---

⚙️ Configuration Management

Environment-Specific Configs

Development:

NODE_ENV=development
LOG_LEVEL=debug
DB_HOST=localhost

Staging:

NODE_ENV=staging
LOG_LEVEL=info
DB_HOST=staging-db.internal

Production:

NODE_ENV=production
LOG_LEVEL=warn
DB_HOST=prod-db.internal

Configuration Validation

Backend validates environment variables at startup:

// File: backend/src/config/env.validation.ts
import * as Joi from 'joi';

export const envValidationSchema = Joi.object({
  NODE_ENV: Joi.string()
    .valid('development', 'staging', 'production')
    .required(),
  DB_HOST: Joi.string().required(),
  DB_PORT: Joi.number().default(3306),
  DB_USER: Joi.string().required(),
  DB_PASS: Joi.string().required(),
  JWT_SECRET: Joi.string().min(32).required(),
  // ...
});

---

🔒 Security Best Practices

DO:

• ✅ Use strong, random passwords (minimum 32 characters)
• ✅ Rotate secrets every 90 days
• ✅ Use Docker secrets for production
• ✅ Add .env files to .gitignore
• ✅ Provide .env.example templates
• ✅ Validate environment variables at startup

DON'T:

• ❌ Commit .env files to Git
• ❌ Use weak or default passwords
• ❌ Share production credentials via email/chat
• ❌ Reuse passwords across environments
• ❌ Hardcode secrets in source code

---

🛠️ Troubleshooting

Common Issues

Backend can't connect to database:

# Check database container is running
docker ps | grep mariadb

# Check database logs
docker logs lcbp3-mariadb

# Verify credentials
docker exec lcbp3-backend env | grep DB_

Redis connection refused:

# Test Redis connection
docker exec lcbp3-redis redis-cli -a <PASSWORD> ping
# Should return: PONG

Environment variable not loading:

# Check if env file exists
ls -la backend/.env

# Check if backend loaded the env
docker exec lcbp3-backend env | grep NODE_ENV

---

📚 Related Documents

• Deployment Guide
• Security Operations
• ADR-005: Technology Stack

---

Version: 1.8.0 Last Review: 2025-12-01 Next Review: 2026-03-01

---

Infrastructure Setup

📍 Document Version: v1.8.0 🖥️ Primary Server: QNAP TS-473A (Application & Database) 💾 Backup Server: ASUSTOR AS5403T (Infrastructure & Backup)

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Overview

📖 ดูรายละเอียด Server Roles และ Service Distribution ได้ที่: README.md

เอกสารนี้มุ่งเน้นการตั้งค่า Technical Configuration สำหรับแต่ละ Service

---

1. Redis Configuration (Standalone + Persistence)

1.1 Docker Compose Setup

# docker-compose-redis.yml
version: '3.8'

services:
  redis:
    image: 'redis:7.2-alpine'
    container_name: lcbp3-redis
    restart: unless-stopped
    # AOF: Enabled for durability
    # Maxmemory: Prevent OOM
    command: redis-server --appendonly yes --requirepass ${REDIS_PASSWORD} --maxmemory 1gb --maxmemory-policy noeviction
    volumes:
      - ./redis/data:/data
    ports:
      - '6379:6379'
    networks:
      - lcbp3
    deploy:
      resources:
        limits:
          cpus: '2.0'
          memory: 1.5G
networks:
  lcbp3:
    external: true

2. Database Configuration

2.1 MariaDB Optimization for Numbering

-- /etc/mysql/mariadb.conf.d/50-numbering.cnf

[mysqld]
# Connection pool
max_connections = 200
thread_cache_size = 50

# Query cache (disabled for InnoDB)
query_cache_type = 0
query_cache_size = 0

# InnoDB settings
innodb_buffer_pool_size = 4G
innodb_log_file_size = 512M
innodb_flush_log_at_trx_commit = 1
innodb_lock_wait_timeout = 50

# Performance Schema
performance_schema = ON
performance_schema_instrument = 'wait/lock/%=ON'

# Binary logging
log_bin = /var/log/mysql/mysql-bin.log
expire_logs_days = 7
max_binlog_size = 100M

# Slow query log
slow_query_log = 1
slow_query_log_file = /var/log/mysql/slow-query.log
long_query_time = 1

2.2 Monitoring Locks

-- Check for lock contention
SELECT
  r.trx_id waiting_trx_id,
  r.trx_mysql_thread_id waiting_thread,
  r.trx_query waiting_query,
  b.trx_id blocking_trx_id,
  b.trx_mysql_thread_id blocking_thread,
  b.trx_query blocking_query
FROM information_schema.innodb_lock_waits w
INNER JOIN information_schema.innodb_trx b ON b.trx_id = w.blocking_trx_id
INNER JOIN information_schema.innodb_trx r ON r.trx_id = w.requesting_trx_id;

-- Check active transactions
SELECT * FROM information_schema.innodb_trx;

-- Kill long-running transaction (if needed)
KILL <thread_id>;

---

3. Backend Service Configuration

3.1 Backend Service Deployment

Docker Compose

# docker-compose-backend.yml
version: '3.8'

services:
  backend-1:
    image: lcbp3-backend:latest
    container_name: lcbp3-backend-1
    environment:
      - NODE_ENV=production
      - DB_HOST=mariadb
      - REDIS_HOST=cache
      - REDIS_PORT=6379
      - NUMBERING_LOCK_TIMEOUT=5000
      - NUMBERING_RESERVATION_TTL=300
    ports:
      - "3001:3000"
    depends_on:
      - mariadb
      - cache
    networks:
      - lcbp3
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:3000/health"]
      interval: 30s
      timeout: 10s
      retries: 3

  backend-2:
    image: lcbp3-backend:latest
    container_name: lcbp3-backend-2
    environment:
      - NODE_ENV=production
      - DB_HOST=mariadb
      - REDIS_HOST=cache
      - REDIS_PORT=6379
    ports:
      - "3002:3000"
    depends_on:
      - mariadb
      - cache
    networks:
      - lcbp3
    restart: unless-stopped

networks:
  lcbp3:
    external: true

Health Check Endpoint

// health/numbering.health.ts
import { Injectable } from '@nestjs/common';
import { HealthIndicator, HealthIndicatorResult } from '@nestjs/terminus';
import { Redis } from 'ioredis';
import { DataSource } from 'typeorm';

@Injectable()
export class NumberingHealthIndicator extends HealthIndicator {
  constructor(
    private redis: Redis,
    private dataSource: DataSource,
  ) {
    super();
  }

  async isHealthy(key: string): Promise<HealthIndicatorResult> {
    const checks = await Promise.all([
      this.checkRedis(),
      this.checkDatabase(),
      this.checkSequenceIntegrity(),
    ]);

    const isHealthy = checks.every((check) => check.status === 'up');

    return this.getStatus(key, isHealthy, { checks });
  }

  private async checkRedis(): Promise<any> {
    try {
      await this.redis.ping();
      return { name: 'redis', status: 'up' };
    } catch (error) {
      return { name: 'redis', status: 'down', error: error.message };
    }
  }

  private async checkDatabase(): Promise<any> {
    try {
      await this.dataSource.query('SELECT 1');
      return { name: 'database', status: 'up' };
    } catch (error) {
      return { name: 'database', status: 'down', error: error.message };
    }
  }

  private async checkSequenceIntegrity(): Promise<any> {
    try {
      const result = await this.dataSource.query(`
        SELECT COUNT(*) as count
        FROM document_numbering_sequences
        WHERE current_value > (
          SELECT max_value FROM document_numbering_configs
          WHERE id = config_id
        )
      `);

      const hasIssue = result[0].count > 0;

      return {
        name: 'sequence_integrity',
        status: hasIssue ? 'degraded' : 'up',
        exceeded_sequences: result[0].count,
      };
    } catch (error) {
      return { name: 'sequence_integrity', status: 'down', error: error.message };
    }
  }
}

---

4. Monitoring & Alerting

4.1 Prometheus Configuration

# prometheus.yml
global:
  scrape_interval: 15s
  evaluation_interval: 15s

alerting:
  alertmanagers:
    - static_configs:
        - targets:
            - alertmanager:9093

rule_files:
  - "/etc/prometheus/alerts/numbering.yml"

scrape_configs:
  - job_name: 'backend'
    static_configs:
      - targets:
          - 'backend-1:3000'
          - 'backend-2:3000'
    metrics_path: '/metrics'

  - job_name: 'redis-numbering'
    static_configs:
      - targets:
          - 'redis-1:6379'
          - 'redis-2:6379'
          - 'redis-3:6379'
    metrics_path: '/metrics'

  - job_name: 'mariadb'
    static_configs:
      - targets:
          - 'mariadb-exporter:9104'

4.2 Alert Manager Configuration

# alertmanager.yml
global:
  resolve_timeout: 5m

route:
  receiver: 'default'
  group_by: ['alertname', 'severity']
  group_wait: 10s
  group_interval: 10s
  repeat_interval: 12h

  routes:
    - match:
        severity: critical
      receiver: 'critical'
      continue: true

    - match:
        severity: warning
      receiver: 'warning'

receivers:
  - name: 'default'
    slack_configs:
      - api_url: 'https://hooks.slack.com/services/YOUR/SLACK/WEBHOOK'
        channel: '#lcbp3-alerts'
        title: '{{ .GroupLabels.alertname }}'
        text: '{{ range .Alerts }}{{ .Annotations.summary }}\n{{ end }}'

  - name: 'critical'
    email_configs:
      - to: 'devops@lcbp3.com'
        from: 'alerts@lcbp3.com'
        smarthost: 'smtp.gmail.com:587'
        auth_username: 'alerts@lcbp3.com'
        auth_password: 'your-password'
        headers:
          Subject: '🚨 CRITICAL: {{ .GroupLabels.alertname }}'

    pagerduty_configs:
      - service_key: 'YOUR_PAGERDUTY_KEY'

  - name: 'warning'
    slack_configs:
      - api_url: 'https://hooks.slack.com/services/YOUR/SLACK/WEBHOOK'
        channel: '#lcbp3-warnings'

4.3 Grafana Dashboards

Import Dashboard JSON

# Download dashboard template
curl -o numbering-dashboard.json \
  https://raw.githubusercontent.com/lcbp3/grafana-dashboards/main/numbering.json

# Import to Grafana
curl -X POST http://admin:admin@localhost:3000/api/dashboards/db \
  -H "Content-Type: application/json" \
  -d @numbering-dashboard.json

Key Panels to Monitor

1. Numbers Generated per Minute - Rate of number creation
2. Sequence Utilization - Current usage vs max (alert >90%)
3. Lock Wait Time (p95) - Performance indicator
4. Lock Failures - System health indicator
5. Redis Health (Single instance) - Node status
6. Database Connection Pool - Resource usage

---

5. Backup & Recovery

5.1 Database Backup Strategy

Automated Backup Script

#!/bin/bash
# scripts/backup-numbering-db.sh

DATE=$(date +%Y%m%d_%H%M%S)
BACKUP_DIR="/backups/numbering"
DB_NAME="lcbp3_production"

echo "🔄 Starting backup at $DATE"

# Create backup directory
mkdir -p $BACKUP_DIR

# Backup numbering tables only
docker exec lcbp3-mariadb mysqldump \
  --single-transaction \
  --routines \
  --triggers \
  $DB_NAME \
  document_numbering_configs \
  document_numbering_sequences \
  document_numbering_audit_logs \
  > $BACKUP_DIR/numbering_$DATE.sql

# Compress backup
gzip $BACKUP_DIR/numbering_$DATE.sql

# Keep only last 30 days
find $BACKUP_DIR -name "numbering_*.sql.gz" -mtime +30 -delete

echo "✅ Backup complete: numbering_$DATE.sql.gz"

Cron Schedule

# Run backup daily at 2 AM
0 2 * * * /opt/lcbp3/scripts/backup-numbering-db.sh >> /var/log/numbering-backup.log 2>&1

# Run integrity check weekly on Sunday at 3 AM
0 3 * * 0 /opt/lcbp3/scripts/check-sequence-integrity.sh >> /var/log/numbering-integrity.log 2>&1

5.2 Redis Backup

Enable RDB Persistence

# redis.conf
save 900 1      # Save if 1 key changed after 900 seconds
save 300 10     # Save if 10 keys changed after 300 seconds
save 60 10000   # Save if 10000 keys changed after 60 seconds

dbfilename dump.rdb
dir /data

# Enable AOF for durability
appendonly yes
appendfilename "appendonly.aof"
appendfsync everysec

Backup Script

#!/bin/bash
# scripts/backup-redis.sh

DATE=$(date +%Y%m%d_%H%M%S)
BACKUP_DIR="/backups/redis"

mkdir -p $BACKUP_DIR

echo "Backing up Redis..."

# Trigger BGSAVE
docker exec cache redis-cli BGSAVE

# Wait for save to complete
sleep 10

# Copy RDB file
docker cp cache:/data/dump.rdb \
  $BACKUP_DIR/redis_${DATE}.rdb

# Copy AOF file
docker cp cache:/data/appendonly.aof \
  $BACKUP_DIR/redis_${DATE}.aof

# Compress
tar -czf $BACKUP_DIR/redis_${DATE}.tar.gz \
  $BACKUP_DIR/redis_${DATE}.rdb \
  $BACKUP_DIR/redis_${DATE}.aof

# Cleanup
rm $BACKUP_DIR/redis_${DATE}.rdb $BACKUP_DIR/redis_${DATE}.aof

echo "✅ Redis backup complete: redis_${DATE}.tar.gz"

5.3 Recovery Procedures

Scenario 1: Restore from Database Backup

#!/bin/bash
# scripts/restore-numbering-db.sh

BACKUP_FILE=$1

if [ -z "$BACKUP_FILE" ]; then
  echo "Usage: ./restore-numbering-db.sh <backup_file>"
  exit 1
fi

echo "⚠️  WARNING: This will overwrite current numbering data!"
read -p "Continue? (yes/no): " confirm

if [ "$confirm" != "yes" ]; then
  echo "Aborted"
  exit 0
fi

# Decompress if needed
if [[ $BACKUP_FILE == *.gz ]]; then
  gunzip -c $BACKUP_FILE > /tmp/restore.sql
  RESTORE_FILE="/tmp/restore.sql"
else
  RESTORE_FILE=$BACKUP_FILE
fi

# Restore
docker exec -i lcbp3-mariadb mysql lcbp3_production < $RESTORE_FILE

echo "✅ Restore complete"
echo "🔄 Please verify sequence integrity"

Scenario 2: Redis Failure

# Check Redis status
docker exec cache redis-cli ping

# If Redis is down, restart container
docker restart cache

# Verify Redis is running
docker exec cache redis-cli ping

# If restart fails, restore from backup
./scripts/restore-redis.sh /backups/redis/latest.tar.gz

---

6. Maintenance Procedures

6.1 Sequence Adjustment

Increase Max Value

-- Check current utilization
SELECT
  dc.document_type,
  ds.current_value,
  dc.max_value,
  ROUND((ds.current_value * 100.0 / dc.max_value), 2) as utilization
FROM document_numbering_sequences ds
JOIN document_numbering_configs dc ON ds.config_id = dc.id
WHERE ds.current_value > dc.max_value * 0.8;

-- Increase max_value for type approaching limit
UPDATE document_numbering_configs
SET max_value = max_value * 10,
    updated_at = CURRENT_TIMESTAMP
WHERE document_type = 'COR'
  AND max_value < 9999999;

-- Audit log
INSERT INTO document_numbering_audit_logs (
  operation, document_type, old_value, new_value,
  user_id, metadata
) VALUES (
  'ADJUST_MAX_VALUE', 'COR', '999999', '9999999',
  1, '{"reason": "Approaching limit", "automated": false}'
);

Reset Yearly Sequence

-- For document types with yearly reset
-- Run on January 1st

START TRANSACTION;

-- Create new sequence for new year
INSERT INTO document_numbering_sequences (
  config_id,
  scope_value,
  current_value,
  last_used_at
)
SELECT
  id as config_id,
  YEAR(CURDATE()) as scope_value,
  0 as current_value,
  NULL as last_used_at
FROM document_numbering_configs
WHERE scope = 'YEARLY';

-- Verify
SELECT * FROM document_numbering_sequences
WHERE scope_value = YEAR(CURDATE());

COMMIT;

6.2 Cleanup Old Audit Logs

-- Archive logs older than 2 years
-- Run monthly

START TRANSACTION;

-- Create archive table (if not exists)
CREATE TABLE IF NOT EXISTS document_numbering_audit_logs_archive
LIKE document_numbering_audit_logs;

-- Move old logs to archive
INSERT INTO document_numbering_audit_logs_archive
SELECT * FROM document_numbering_audit_logs
WHERE timestamp < DATE_SUB(CURDATE(), INTERVAL 2 YEAR);

-- Delete from main table
DELETE FROM document_numbering_audit_logs
WHERE timestamp < DATE_SUB(CURDATE(), INTERVAL 2 YEAR);

-- Optimize table
OPTIMIZE TABLE document_numbering_audit_logs;

COMMIT;

-- Export archive to file (optional)
SELECT * FROM document_numbering_audit_logs_archive
INTO OUTFILE '/tmp/audit_archive_2023.csv'
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n';

6.3 Redis Maintenance

Flush Expired Reservations

#!/bin/bash
# scripts/cleanup-expired-reservations.sh

echo "🧹 Cleaning up expired reservations..."

# Get all reservation keys
KEYS=$(docker exec lcbp3-redis-1 redis-cli --cluster call 172.20.0.2:6379 KEYS "reservation:*" | grep -v "(error)")

COUNT=0
for KEY in $KEYS; do
  # Check TTL
  TTL=$(docker exec lcbp3-redis-1 redis-cli TTL "$KEY")

  if [ "$TTL" -lt 0 ]; then
    # Delete expired key
    docker exec lcbp3-redis-1 redis-cli DEL "$KEY"
    ((COUNT++))
  fi
done

echo "✅ Cleaned up $COUNT expired reservations"

---

7. Disaster Recovery

7.1 Total System Failure

Recovery Steps

#!/bin/bash
# scripts/disaster-recovery.sh

echo "🚨 Starting disaster recovery..."

# 1. Start Redis cluster
echo "1️⃣ Starting Redis cluster..."
docker-compose -f docker-compose-redis.yml up -d
sleep 30

# 2. Restore Redis backups
echo "2️⃣ Restoring Redis backups..."
./scripts/restore-redis.sh /backups/redis/latest.tar.gz

# 3. Start database
echo "3️⃣ Starting MariaDB..."
docker-compose -f docker-compose-db.yml up -d
sleep 30

# 4. Restore database
echo "4️⃣ Restoring database..."
./scripts/restore-numbering-db.sh /backups/db/latest.sql.gz

# 5. Verify sequence integrity
echo "5️⃣ Verifying sequence integrity..."
./scripts/check-sequence-integrity.sh

# 6. Start backend services
echo "6️⃣ Starting backend services..."
docker-compose -f docker-compose-backend.yml up -d

# 7. Run health checks
echo "7️⃣ Running health checks..."
sleep 60
for i in {1..5}; do
  curl -f http://localhost:3001/health || echo "Backend $i not healthy"
done

echo "✅ Disaster recovery complete"
echo "⚠️  Please verify system functionality manually"

7.2 RTO/RPO Targets

Scenario	RTO	RPO	Priority
Single backend node failure	0 min	0	P0
Single Redis node failure	0 min	0	P0
Database primary failure	5 min	0	P0
Complete data center failure	1 hour	15 min	P1
Data corruption	4 hours	1 day	P2

---

8. Runbooks

8.1 High Sequence Utilization (>90%)

Alert: SequenceWarning or SequenceCritical

Steps:

1. Check current utilization

   SELECT document_type, current_value, max_value,
          ROUND((current_value * 100.0 / max_value), 2) as pct
   FROM document_numbering_sequences s
   JOIN document_numbering_configs c ON s.config_id = c.id
   WHERE current_value > max_value * 0.9;
   

2. Assess impact

   • How many numbers left?
   • Daily usage rate?
   • Days until exhaustion?

3. Take action

   -- Option A: Increase max_value
   UPDATE document_numbering_configs
   SET max_value = max_value * 10
   WHERE document_type = 'COR';
   
   -- Option B: Reset sequence (yearly types only)
   -- Schedule for next year/month
   

4. Notify stakeholders

5. Update monitoring thresholds if needed

---

8.2 High Lock Wait Time

Alert: HighLockWaitTime

Steps:

1. Check Redis cluster health

   docker exec lcbp3-redis-1 redis-cli cluster info
   docker exec lcbp3-redis-1 redis-cli cluster nodes
   

2. Check database locks

   SELECT * FROM information_schema.innodb_lock_waits;
   SELECT * FROM information_schema.innodb_trx
   WHERE trx_started < NOW() - INTERVAL 30 SECOND;
   

3. Identify bottleneck

   • Redis slow?
   • Database slow?
   • High concurrent load?

4. Take action based on cause:

   • Redis: Add more nodes, check network latency
   • Database: Optimize queries, increase connection pool
   • High load: Scale horizontally (add backend nodes)

5. Monitor improvements

---

8.3 Redis Down

Alert: RedisUnavailable

Steps:

1. Verify Redis is down

   docker exec cache redis-cli ping || echo "Redis DOWN"
   

2. Check system falls back to DB-only mode

   curl http://localhost:3001/health/numbering
   # Should show: fallback_mode: true
   

3. Restart Redis container

   docker restart cache
   sleep 10
   docker exec cache redis-cli ping
   

4. If restart fails, restore from backup

   ./scripts/restore-redis.sh /backups/redis/latest.tar.gz
   

5. Verify numbering system back to normal

   curl http://localhost:3001/health/numbering
   # Should show: fallback_mode: false
   

6. Review logs for root cause

   docker logs cache --tail 100
   

---

9. Performance Tuning

9.1 Slow Number Generation

Diagnosis:

-- Check slow queries
SELECT * FROM mysql.slow_log
WHERE sql_text LIKE '%document_numbering%'
ORDER BY query_time DESC
LIMIT 10;

-- Check index usage
EXPLAIN SELECT * FROM document_numbering_sequences
WHERE config_id = 1 AND scope_value = '2025'
FOR UPDATE;

Optimizations:

-- Add missing indexes
CREATE INDEX idx_sequence_lookup
ON document_numbering_sequences(config_id, scope_value);

-- Optimize table
OPTIMIZE TABLE document_numbering_sequences;

-- Update statistics
ANALYZE TABLE document_numbering_sequences;

9.2 Redis Memory Optimization

# Check memory usage
docker exec cache redis-cli INFO memory

# If memory high, check keys
docker exec cache redis-cli --bigkeys

# Set maxmemory policy
docker exec cache redis-cli CONFIG SET maxmemory 2gb
docker exec cache redis-cli CONFIG SET maxmemory-policy allkeys-lru

---

10. Security Hardening

10.1 Redis Security

# redis.conf
requirepass your-strong-redis-password
bind 0.0.0.0
protected-mode yes
rename-command FLUSHDB ""
rename-command FLUSHALL ""
rename-command CONFIG "CONFIG_abc123"

10.2 Database Security

-- Create dedicated numbering user
CREATE USER 'numbering'@'%' IDENTIFIED BY 'strong-password';

-- Grant minimal permissions
GRANT SELECT, INSERT, UPDATE ON lcbp3_production.document_numbering_* TO 'numbering'@'%';
GRANT SELECT ON lcbp3_production.users TO 'numbering'@'%';

FLUSH PRIVILEGES;

10.3 Network Security

# docker-compose-network.yml
networks:
  lcbp3:
    driver: bridge
    ipam:
      config:
        - subnet: 172.20.0.0/16
    driver_opts:
      com.docker.network.bridge.name: lcbp3-br
      com.docker.network.bridge.enable_icc: "true"
      com.docker.network.bridge.enable_ip_masquerade: "true"

---

11. Compliance & Audit

11.1 Audit Log Retention

-- Export audit logs for compliance
SELECT *
FROM document_numbering