AWS RDS Database

Table of Contents

• Overview
• When to Use
• Quick Start
• Reference Guides
• Best Practices

Overview

Amazon RDS simplifies relational database deployment and operations. Support multiple database engines with automated backups, replication, encryption, and high availability through Multi-AZ deployments.

When to Use

• PostgreSQL and MySQL applications
• Transactional databases and OLTP
• Oracle and Microsoft SQL Server workloads
• Read-heavy applications with replicas
• Development and staging environments
• Data requiring ACID compliance
• Applications needing automatic backups
• Disaster recovery scenarios

Quick Start

Minimal working example:

# Create DB subnet group
aws rds create-db-subnet-group \
  --db-subnet-group-name app-db-subnet \
  --db-subnet-group-description "App database subnet" \
  --subnet-ids subnet-12345 subnet-67890

# Create security group for RDS
aws ec2 create-security-group \
  --group-name rds-sg \
  --description "RDS security group" \
  --vpc-id vpc-12345

# Allow inbound PostgreSQL
aws ec2 authorize-security-group-ingress \
  --group-id sg-rds123 \
  --protocol tcp \
  --port 5432 \
  --source-security-group-id sg-app123

# Create RDS instance
aws rds create-db-instance \
  --db-instance-identifier myapp-db \
  --db-instance-class db.t3.micro \
  --engine postgres \
  --engine-version 15.2 \
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Best Practices

✅ DO

• Use Multi-AZ for production
• Enable automated backups
• Use encryption at rest and in transit
• Implement IAM database authentication
• Create read replicas for scaling
• Monitor performance metrics
• Set up CloudWatch alarms
• Store credentials in Secrets Manager
• Use parameter groups for configuration

❌ DON'T

• Store passwords in code
• Disable encryption
• Use public accessibility in production
• Ignore backup retention
• Skip automated backups
• Create databases without Multi-AZ