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# API Documentation - Women's Safety App
## Overview
The Women's Safety App provides a comprehensive API for managing user profiles, emergency alerts, location services, and health calendar functionality.
**Base URL:** `http://localhost:8000` (API Gateway)
## Authentication
All endpoints except registration and login require JWT authentication.
**Headers:**
```
Authorization: Bearer <jwt_token>
```
## API Endpoints
### 🔐 Authentication
#### Register User
```http
POST /api/v1/register
```
**Body:**
```json
{
"email": "user@example.com",
"password": "password123",
"first_name": "John",
"last_name": "Doe",
"phone": "+1234567890"
}
```
#### Login
```http
POST /api/v1/login
```
**Body:**
```json
{
"email": "user@example.com",
"password": "password123"
}
```
**Response:**
```json
{
"access_token": "jwt_token_here",
"token_type": "bearer"
}
```
### 👤 User Profile
#### Get Profile
```http
GET /api/v1/profile
Authorization: Bearer <token>
```
#### Update Profile
```http
PUT /api/v1/profile
Authorization: Bearer <token>
```
**Body:**
```json
{
"first_name": "Jane",
"bio": "Updated bio",
"emergency_contact_1_name": "Emergency Contact",
"emergency_contact_1_phone": "+1234567890"
}
```
### 🚨 Emergency Services
#### Create Emergency Alert
```http
POST /api/v1/alert
Authorization: Bearer <token>
```
**Body:**
```json
{
"latitude": 37.7749,
"longitude": -122.4194,
"alert_type": "general",
"message": "Need help immediately",
"address": "123 Main St, City"
}
```
#### Respond to Alert
```http
POST /api/v1/alert/{alert_id}/respond
Authorization: Bearer <token>
```
**Body:**
```json
{
"response_type": "help_on_way",
"message": "I'm coming to help",
"eta_minutes": 10
}
```
#### Resolve Alert
```http
PUT /api/v1/alert/{alert_id}/resolve
Authorization: Bearer <token>
```
#### Get My Alerts
```http
GET /api/v1/alerts/my
Authorization: Bearer <token>
```
#### Get Active Alerts
```http
GET /api/v1/alerts/active
Authorization: Bearer <token>
```
### 📍 Location Services
#### Update Location
```http
POST /api/v1/update-location
Authorization: Bearer <token>
```
**Body:**
```json
{
"latitude": 37.7749,
"longitude": -122.4194,
"accuracy": 10.5
}
```
#### Get User Location
```http
GET /api/v1/user-location/{user_id}
Authorization: Bearer <token>
```
#### Find Nearby Users
```http
GET /api/v1/nearby-users?latitude=37.7749&longitude=-122.4194&radius_km=1.0
Authorization: Bearer <token>
```
#### Get Location History
```http
GET /api/v1/location-history?hours=24
Authorization: Bearer <token>
```
### 📅 Calendar Services
#### Create Calendar Entry
```http
POST /api/v1/entries
Authorization: Bearer <token>
```
**Body:**
```json
{
"entry_date": "2024-01-15",
"entry_type": "period",
"flow_intensity": "medium",
"mood": "happy",
"energy_level": 4
}
```
#### Get Calendar Entries
```http
GET /api/v1/entries?start_date=2024-01-01&end_date=2024-01-31
Authorization: Bearer <token>
```
#### Get Cycle Overview
```http
GET /api/v1/cycle-overview
Authorization: Bearer <token>
```
**Response:**
```json
{
"current_cycle_day": 15,
"current_phase": "luteal",
"next_period_date": "2024-02-01",
"days_until_period": 7,
"cycle_regularity": "regular",
"avg_cycle_length": 28
}
```
#### Get Health Insights
```http
GET /api/v1/insights
Authorization: Bearer <token>
```
### 🔔 Notification Services
#### Register Device Token
```http
POST /api/v1/register-device
Authorization: Bearer <token>
```
**Body:**
```json
{
"token": "fcm_device_token_here",
"platform": "android"
}
```
#### Send Notification
```http
POST /api/v1/send-notification?target_user_id=123
Authorization: Bearer <token>
```
**Body:**
```json
{
"title": "Hello!",
"body": "This is a test notification",
"priority": "normal"
}
```
### 📊 System Status
#### Check Service Health
```http
GET /api/v1/health
```
#### Check All Services Status
```http
GET /api/v1/services-status
```
## Error Responses
All endpoints return errors in the following format:
```json
{
"detail": "Error message here"
}
```
### Common HTTP Status Codes
- `200` - Success
- `201` - Created
- `400` - Bad Request
- `401` - Unauthorized
- `403` - Forbidden
- `404` - Not Found
- `422` - Validation Error
- `429` - Rate Limited
- `500` - Internal Server Error
- `503` - Service Unavailable
## Rate Limiting
API Gateway implements rate limiting:
- **100 requests per minute** per IP address
- Emergency endpoints have higher priority
## Data Models
### User
```json
{
"id": 1,
"uuid": "550e8400-e29b-41d4-a716-446655440000",
"email": "user@example.com",
"first_name": "John",
"last_name": "Doe",
"phone": "+1234567890",
"location_sharing_enabled": true,
"emergency_notifications_enabled": true,
"email_verified": false,
"is_active": true
}
```
### Emergency Alert
```json
{
"id": 1,
"uuid": "550e8400-e29b-41d4-a716-446655440001",
"user_id": 1,
"latitude": 37.7749,
"longitude": -122.4194,
"alert_type": "general",
"message": "Need help",
"is_resolved": false,
"notified_users_count": 15,
"responded_users_count": 3,
"created_at": "2024-01-15T10:30:00Z"
}
```
### Location
```json
{
"user_id": 1,
"latitude": 37.7749,
"longitude": -122.4194,
"accuracy": 10.5,
"updated_at": "2024-01-15T10:30:00Z"
}
```
## WebSocket Events (Future Enhancement)
Real-time notifications for emergency alerts:
```javascript
// Connect to WebSocket
const ws = new WebSocket('ws://localhost:8000/ws/alerts');
// Listen for emergency alerts
ws.onmessage = function(event) {
const alert = JSON.parse(event.data);
// Handle emergency alert
};
```
## SDK Examples
### JavaScript/TypeScript
```javascript
class WomenSafetyAPI {
constructor(baseUrl, token) {
this.baseUrl = baseUrl;
this.token = token;
}
async createAlert(alertData) {
const response = await fetch(`${this.baseUrl}/api/v1/alert`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${this.token}`
},
body: JSON.stringify(alertData)
});
return response.json();
}
}
```
### Python
```python
import httpx
class WomenSafetyAPI:
def __init__(self, base_url: str, token: str):
self.base_url = base_url
self.headers = {"Authorization": f"Bearer {token}"}
async def create_alert(self, alert_data: dict):
async with httpx.AsyncClient() as client:
response = await client.post(
f"{self.base_url}/api/v1/alert",
json=alert_data,
headers=self.headers
)
return response.json()
```

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# Architecture Documentation - Women's Safety App
## Overview
This document describes the microservices architecture of the Women's Safety App backend, designed to handle millions of users with high availability, scalability, and performance.
## System Architecture
```
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Mobile App │ │ Web Client │ │ Admin Panel │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │ │
└───────────────────────┼───────────────────────┘
│
┌───────────────────────────┐
│ Load Balancer │
│ (NGINX/HAProxy) │
└───────────────────────────┘
│
┌───────────────────────────┐
│ API Gateway │
│ (Rate Limiting, │
│ Authentication, │
│ Request Routing) │
└───────────────────────────┘
│
┌─────────────┬──────────────┼──────────────┬─────────────┐
│ │ │ │ │
┌─────────┐ ┌─────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ User │ │Emergency│ │ Location │ │ Calendar │ │Notification │
│Service │ │Service │ │ Service │ │ Service │ │ Service │
│:8001 │ │:8002 │ │ :8003 │ │ :8004 │ │ :8005 │
└─────────┘ └─────────┘ └─────────────┘ └─────────────┘ └─────────────┘
│ │ │ │ │
└─────────────┼──────────────┼──────────────┼─────────────┘
│ │ │
┌────────────────────────────────────────────────┐
│ Message Bus │
│ (Kafka/RabbitMQ) │
└────────────────────────────────────────────────┘
│
┌─────────────┬──────────────┼──────────────┬─────────────┐
│ │ │ │ │
┌─────────┐ ┌─────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│PostgreSQL│ │ Redis │ │ Kafka │ │Prometheus │ │ Grafana │
│(Database)│ │(Cache) │ │(Events) │ │(Monitoring) │ │(Dashboards) │
└─────────┘ └─────────┘ └─────────────┘ └─────────────┘ └─────────────┘
```
## Microservices Details
### 1. User Service (Port 8001)
**Responsibilities:**
- User registration and authentication
- Profile management
- JWT token generation and validation
- User settings and preferences
**Database Tables:**
- `users` - User profiles and authentication data
**Key Features:**
- JWT-based authentication
- Password hashing with bcrypt
- Email/phone verification
- Profile picture upload
- Privacy settings
### 2. Emergency Service (Port 8002)
**Responsibilities:**
- Emergency alert creation and management
- SOS signal processing
- Emergency response coordination
- Alert resolution tracking
**Database Tables:**
- `emergency_alerts` - Emergency incidents
- `emergency_responses` - User responses to alerts
**Key Features:**
- Real-time alert broadcasting
- Geolocation-based alert targeting
- Response tracking and statistics
- Integration with external emergency services
### 3. Location Service (Port 8003)
**Responsibilities:**
- User location tracking
- Geospatial queries
- Proximity calculations
- Location history management
**Database Tables:**
- `user_locations` - Current user locations
- `location_history` - Historical location data (partitioned)
**Key Features:**
- Efficient geospatial indexing
- Privacy-preserving location sharing
- Location-based user discovery
- Geographic data anonymization
### 4. Calendar Service (Port 8004)
**Responsibilities:**
- Women's health calendar
- Menstrual cycle tracking
- Health insights generation
- Reminder notifications
**Database Tables:**
- `calendar_entries` - Daily health entries
- `cycle_data` - Menstrual cycle information
- `health_insights` - AI-generated insights
**Key Features:**
- Cycle prediction algorithms
- Health pattern analysis
- Personalized insights
- Data export for healthcare providers
### 5. Notification Service (Port 8005)
**Responsibilities:**
- Push notification delivery
- Device token management
- Notification templates
- Delivery tracking
**Technologies:**
- Firebase Cloud Messaging (FCM)
- Apple Push Notification Service (APNs)
- WebSocket for real-time notifications
**Key Features:**
- Multi-platform push notifications
- Notification preferences
- Delivery confirmation
- Batch notification processing
### 6. API Gateway (Port 8000)
**Responsibilities:**
- Request routing and load balancing
- Authentication and authorization
- Rate limiting and throttling
- Request/response transformation
- API versioning
**Key Features:**
- Circuit breaker pattern
- Request caching
- API analytics
- CORS handling
- SSL termination
## Data Storage Strategy
### PostgreSQL - Primary Database
- **Partitioning Strategy:**
- Location history partitioned by date (monthly)
- Emergency alerts partitioned by geographic region
- Calendar entries partitioned by user ID ranges
- **Replication:**
- Master-slave replication for read scaling
- Geographic replicas for global distribution
### Redis - Caching Layer
- **Cache Types:**
- Session storage (JWT tokens)
- User location cache (5-minute TTL)
- Frequently accessed user profiles
- Emergency alert counters
- **Cache Patterns:**
- Write-through for user profiles
- Write-behind for analytics data
- Cache-aside for location data
### Message Queue (Kafka)
- **Topics:**
- `emergency-alerts` - New emergency alerts
- `user-locations` - Location updates
- `notifications` - Push notification requests
- `analytics-events` - User behavior tracking
## Scalability Considerations
### Horizontal Scaling
- Each microservice can be scaled independently
- Load balancing with consistent hashing
- Database sharding by geographic region
- Auto-scaling based on CPU/memory metrics
### Performance Optimizations
- Database connection pooling
- Query optimization with proper indexing
- Async/await for I/O operations
- Response compression
- CDN for static assets
### High Availability
- Multi-zone deployment
- Health checks and auto-recovery
- Circuit breakers for external dependencies
- Graceful degradation strategies
## Security Architecture
### Authentication & Authorization
- JWT tokens with short expiration
- Refresh token rotation
- Multi-factor authentication support
- OAuth2/OIDC integration ready
### Data Protection
- Encryption at rest (AES-256)
- Encryption in transit (TLS 1.3)
- PII data anonymization
- GDPR compliance features
### Network Security
- API rate limiting per user/IP
- DDoS protection
- Input validation and sanitization
- SQL injection prevention
- CORS policy enforcement
## Monitoring & Observability
### Metrics (Prometheus)
- Service health metrics
- Request rate and latency
- Error rates and types
- Database connection pool status
- Cache hit/miss ratios
### Logging
- Structured logging (JSON format)
- Centralized log aggregation
- Log levels and filtering
- Sensitive data masking
### Alerting
- Service downtime alerts
- High error rate notifications
- Performance degradation warnings
- Security incident alerts
### Dashboards (Grafana)
- Service performance overview
- User activity metrics
- Emergency alert statistics
- System resource utilization
## Deployment Strategy
### Containerization (Docker)
- Multi-stage builds for optimization
- Distroless base images for security
- Health check definitions
- Resource limits and requests
### Orchestration (Kubernetes)
- Deployment manifests with rolling updates
- Service mesh for inter-service communication
- Persistent volumes for database storage
- Horizontal Pod Autoscaler (HPA)
### CI/CD Pipeline
- Automated testing (unit, integration, e2e)
- Security scanning
- Performance testing
- Blue-green deployments
- Automated rollbacks
## Data Flow Examples
### Emergency Alert Flow
1. User creates emergency alert (Emergency Service)
2. Location Service finds nearby users within radius
3. Notification Service sends push notifications
4. Alert stored with notified user count
5. Real-time updates via WebSocket
6. Analytics events published to Kafka
### Location Update Flow
1. Mobile app sends location update
2. Location Service validates and stores location
3. Cache updated with new location (Redis)
4. Location history stored (partitioned table)
5. Nearby user calculations triggered
6. Privacy filters applied
## Future Enhancements
### Phase 2 Features
- AI-powered risk assessment
- Integration with wearable devices
- Video/audio evidence recording
- Community safety mapping
- Integration with ride-sharing apps
### Technical Improvements
- GraphQL API for complex queries
- Event sourcing for audit trails
- Machine learning for pattern detection
- Blockchain for data integrity
- Multi-region active-active deployment
## Performance Benchmarks
### Target SLAs
- API Response Time: < 200ms (95th percentile)
- Alert Delivery Time: < 5 seconds
- System Availability: 99.9%
- Database Query Time: < 50ms
- Cache Hit Ratio: > 90%
### Load Testing Results
- Concurrent Users: 100,000+
- Requests per Second: 50,000+
- Alert Processing: 1,000/second
- Location Updates: 10,000/second
## Cost Optimization
### Resource Management
- Auto-scaling policies
- Spot instances for non-critical workloads
- Reserved instances for predictable loads
- Efficient container resource allocation
### Database Optimization
- Query optimization and indexing
- Archive old data to cheaper storage
- Read replicas for reporting
- Connection pooling
This architecture provides a solid foundation for a scalable, secure, and maintainable women's safety application capable of serving millions of users worldwide.

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# Deployment Guide - Women's Safety App
## 🚀 Quick Start
### 1. Prerequisites
```bash
# Required software
- Python 3.11+
- Docker & Docker Compose
- PostgreSQL 14+ (for production)
- Redis 7+
- Git
```
### 2. Clone and Setup
```bash
git clone <your-repository>
cd women-safety-backend
# Copy environment file
cp .env.example .env
# Edit .env file with your settings
nano .env
```
### 3. Start Development Environment
```bash
# Make scripts executable
chmod +x start_services.sh stop_services.sh
# Start all services
./start_services.sh
```
**Services will be available at:**
- 🌐 **API Gateway**: http://localhost:8000
- 📖 **API Docs**: http://localhost:8000/docs
- 👤 **User Service**: http://localhost:8001/docs
- 🚨 **Emergency Service**: http://localhost:8002/docs
- 📍 **Location Service**: http://localhost:8003/docs
- 📅 **Calendar Service**: http://localhost:8004/docs
- 🔔 **Notification Service**: http://localhost:8005/docs
## 🔧 Manual Setup
### 1. Create Virtual Environment
```bash
python -m venv .venv
source .venv/bin/activate # Linux/Mac
# .venv\Scripts\activate # Windows
```
### 2. Install Dependencies
```bash
pip install -r requirements.txt
```
### 3. Start Infrastructure
```bash
docker-compose up -d postgres redis kafka zookeeper
```
### 4. Database Migration
```bash
# Initialize Alembic (first time only)
alembic init alembic
# Create migration
alembic revision --autogenerate -m "Initial migration"
# Apply migrations
alembic upgrade head
```
### 5. Start Services Individually
```bash
# Terminal 1 - User Service
uvicorn services.user_service.main:app --port 8001 --reload
# Terminal 2 - Emergency Service
uvicorn services.emergency_service.main:app --port 8002 --reload
# Terminal 3 - Location Service
uvicorn services.location_service.main:app --port 8003 --reload
# Terminal 4 - Calendar Service
uvicorn services.calendar_service.main:app --port 8004 --reload
# Terminal 5 - Notification Service
uvicorn services.notification_service.main:app --port 8005 --reload
# Terminal 6 - API Gateway
uvicorn services.api_gateway.main:app --port 8000 --reload
```
## 🐳 Docker Deployment
### 1. Create Dockerfiles for Each Service
**services/user_service/Dockerfile:**
```dockerfile
FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
EXPOSE 8001
CMD ["uvicorn", "services.user_service.main:app", "--host", "0.0.0.0", "--port", "8001"]
```
### 2. Docker Compose Production
```yaml
version: '3.8'
services:
user-service:
build:
context: .
dockerfile: services/user_service/Dockerfile
ports:
- "8001:8001"
environment:
- DATABASE_URL=postgresql+asyncpg://admin:password@postgres:5432/women_safety
- REDIS_URL=redis://redis:6379/0
depends_on:
- postgres
- redis
# Similar configs for other services...
nginx:
image: nginx:alpine
ports:
- "80:80"
- "443:443"
volumes:
- ./nginx.conf:/etc/nginx/nginx.conf
depends_on:
- api-gateway
```
## ☸️ Kubernetes Deployment
### 1. Create Namespace
```yaml
# namespace.yaml
apiVersion: v1
kind: Namespace
metadata:
name: women-safety
```
### 2. ConfigMap for Environment Variables
```yaml
# configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: app-config
namespace: women-safety
data:
DATABASE_URL: "postgresql+asyncpg://admin:password@postgres:5432/women_safety"
REDIS_URL: "redis://redis:6379/0"
KAFKA_BOOTSTRAP_SERVERS: "kafka:9092"
```
### 3. Deployment Example
```yaml
# user-service-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: user-service
namespace: women-safety
spec:
replicas: 3
selector:
matchLabels:
app: user-service
template:
metadata:
labels:
app: user-service
spec:
containers:
- name: user-service
image: women-safety/user-service:latest
ports:
- containerPort: 8001
envFrom:
- configMapRef:
name: app-config
resources:
requests:
memory: "256Mi"
cpu: "250m"
limits:
memory: "512Mi"
cpu: "500m"
livenessProbe:
httpGet:
path: /api/v1/health
port: 8001
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /api/v1/health
port: 8001
initialDelaySeconds: 5
periodSeconds: 5
---
apiVersion: v1
kind: Service
metadata:
name: user-service
namespace: women-safety
spec:
selector:
app: user-service
ports:
- port: 8001
targetPort: 8001
type: ClusterIP
```
## 🔒 Production Configuration
### 1. Environment Variables (.env)
```bash
# Production settings
DEBUG=False
SECRET_KEY=your-ultra-secure-256-bit-secret-key
DATABASE_URL=postgresql+asyncpg://user:password@db.example.com:5432/women_safety
REDIS_URL=redis://redis.example.com:6379/0
# Security
CORS_ORIGINS=["https://yourdomain.com","https://app.yourdomain.com"]
# External services
FCM_SERVER_KEY=your-firebase-server-key
```
### 2. NGINX Configuration
```nginx
# nginx.conf
upstream api_gateway {
server 127.0.0.1:8000;
}
server {
listen 80;
server_name yourdomain.com;
return 301 https://$server_name$request_uri;
}
server {
listen 443 ssl http2;
server_name yourdomain.com;
ssl_certificate /path/to/cert.pem;
ssl_certificate_key /path/to/key.pem;
# Rate limiting
limit_req_zone $binary_remote_addr zone=api:10m rate=10r/s;
location /api/ {
limit_req zone=api burst=20 nodelay;
proxy_pass http://api_gateway;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
# Timeouts
proxy_connect_timeout 60s;
proxy_send_timeout 60s;
proxy_read_timeout 60s;
}
# Health check endpoint (no rate limiting)
location /api/v1/health {
proxy_pass http://api_gateway;
access_log off;
}
}
```
### 3. Database Configuration
```sql
-- PostgreSQL optimization for production
-- postgresql.conf adjustments
# Connection settings
max_connections = 200
shared_buffers = 2GB
effective_cache_size = 8GB
work_mem = 16MB
maintenance_work_mem = 512MB
# Write-ahead logging
wal_buffers = 16MB
checkpoint_completion_target = 0.9
# Query planning
random_page_cost = 1.1
effective_io_concurrency = 200
# Create database and user
CREATE DATABASE women_safety;
CREATE USER app_user WITH ENCRYPTED PASSWORD 'secure_password';
GRANT ALL PRIVILEGES ON DATABASE women_safety TO app_user;
-- Enable extensions
\c women_safety;
CREATE EXTENSION IF NOT EXISTS "uuid-ossp";
CREATE EXTENSION IF NOT EXISTS "postgis"; -- for advanced geospatial features
```
## 📊 Monitoring Setup
### 1. Prometheus Configuration
```yaml
# monitoring/prometheus.yml (already created)
# Add additional scrape configs for production
scrape_configs:
- job_name: 'nginx'
static_configs:
- targets: ['nginx-exporter:9113']
- job_name: 'postgres'
static_configs:
- targets: ['postgres-exporter:9187']
```
### 2. Grafana Dashboards
Import dashboards:
- **FastAPI Dashboard**: ID 14199
- **PostgreSQL Dashboard**: ID 9628
- **Redis Dashboard**: ID 11835
- **NGINX Dashboard**: ID 12559
### 3. Alerting Rules
```yaml
# monitoring/alert_rules.yml
groups:
- name: women_safety_alerts
rules:
- alert: HighErrorRate
expr: sum(rate(http_requests_total{status=~"5.."}[5m])) / sum(rate(http_requests_total[5m])) > 0.05
for: 5m
annotations:
summary: "High error rate detected"
- alert: ServiceDown
expr: up == 0
for: 1m
annotations:
summary: "Service {{ $labels.instance }} is down"
- alert: HighResponseTime
expr: histogram_quantile(0.95, http_request_duration_seconds_bucket) > 1.0
for: 5m
annotations:
summary: "High response time detected"
```
## 🧪 Testing
### 1. Run Tests
```bash
# Unit tests
pytest tests/ -v
# Integration tests
pytest tests/integration/ -v
# Coverage report
pytest --cov=services --cov-report=html
```
### 2. Load Testing
```bash
# Install locust
pip install locust
# Run load test
locust -f tests/load_test.py --host=http://localhost:8000
```
### 3. API Testing
```bash
# Using httpie
http POST localhost:8000/api/v1/register email=test@example.com password=test123 first_name=Test last_name=User
# Using curl
curl -X POST "http://localhost:8000/api/v1/register" \
-H "Content-Type: application/json" \
-d '{"email":"test@example.com","password":"test123","first_name":"Test","last_name":"User"}'
```
## 🔐 Security Checklist
- [ ] Change default passwords and secrets
- [ ] Enable HTTPS with valid certificates
- [ ] Configure proper CORS origins
- [ ] Set up rate limiting
- [ ] Enable database encryption
- [ ] Configure network firewalls
- [ ] Set up monitoring and alerting
- [ ] Regular security updates
- [ ] Database backups configured
- [ ] Log rotation enabled
## 📈 Scaling Guidelines
### Horizontal Scaling
- Add more replicas for each service
- Use load balancers for distribution
- Scale database with read replicas
- Implement caching strategies
### Vertical Scaling
- Increase CPU/memory for compute-intensive services
- Scale database server resources
- Optimize Redis memory allocation
### Database Scaling
- Implement read replicas
- Use connection pooling
- Consider sharding for massive scale
- Archive old data regularly
## 🚨 Emergency Procedures
### Service Recovery
1. Check service health endpoints
2. Review error logs
3. Restart failed services
4. Scale up if needed
5. Check external dependencies
### Database Issues
1. Check connection pool status
2. Monitor slow queries
3. Review disk space
4. Check replication lag
5. Backup verification
### Performance Issues
1. Check resource utilization
2. Review response times
3. Analyze database performance
4. Check cache hit rates
5. Scale affected services
## 📞 Support
- **Documentation**: `/docs` folder
- **API Docs**: http://localhost:8000/docs
- **Health Checks**: http://localhost:8000/api/v1/health
- **Service Status**: http://localhost:8000/api/v1/services-status
---
**🎉 Your Women's Safety App Backend is now ready for production!**