aws-rds-database
Deploy and manage relational databases using RDS with Multi-AZ, read replicas, backups, and encryption. Use for PostgreSQL, MySQL, MariaDB, and Oracle.
$ Instalar
git clone https://github.com/aj-geddes/useful-ai-prompts /tmp/useful-ai-prompts && cp -r /tmp/useful-ai-prompts/skills/aws-rds-database ~/.claude/skills/useful-ai-prompts// tip: Run this command in your terminal to install the skill
SKILL.md
name: aws-rds-database description: Deploy and manage relational databases using RDS with Multi-AZ, read replicas, backups, and encryption. Use for PostgreSQL, MySQL, MariaDB, and Oracle.
AWS RDS Database
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
Implementation Examples
1. RDS Instance Creation with AWS CLI
# 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 \
--master-username admin \
--master-user-password MySecurePassword123! \
--allocated-storage 100 \
--storage-type gp3 \
--db-subnet-group-name app-db-subnet \
--vpc-security-group-ids sg-rds123 \
--multi-az \
--storage-encrypted \
--kms-key-id arn:aws:kms:region:account:key/id \
--backup-retention-period 30 \
--preferred-backup-window "03:00-04:00" \
--preferred-maintenance-window "mon:04:00-mon:05:00" \
--enable-clouwatch-logs-exports postgresql \
--enable-iam-database-authentication
# Create read replica
aws rds create-db-instance-read-replica \
--db-instance-identifier myapp-db-read \
--source-db-instance-identifier myapp-db
# Take manual snapshot
aws rds create-db-snapshot \
--db-snapshot-identifier myapp-db-backup-2024 \
--db-instance-identifier myapp-db
# Describe RDS instance
aws rds describe-db-instances \
--db-instance-identifier myapp-db \
--query 'DBInstances[0].[DBInstanceIdentifier,DBInstanceStatus,Endpoint.Address]'
2. Terraform RDS Configuration
# rds.tf
terraform {
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 5.0"
}
}
}
provider "aws" {
region = "us-east-1"
}
# DB subnet group
resource "aws_db_subnet_group" "app" {
name = "app-db-subnet"
subnet_ids = [aws_subnet.private1.id, aws_subnet.private2.id]
tags = { Name = "app-db-subnet" }
}
# Security group
resource "aws_security_group" "rds" {
name_prefix = "rds-"
vpc_id = aws_vpc.main.id
ingress {
from_port = 5432
to_port = 5432
protocol = "tcp"
security_groups = [aws_security_group.app.id]
}
egress {
from_port = 0
to_port = 0
protocol = "-1"
cidr_blocks = ["0.0.0.0/0"]
}
}
# KMS key for encryption
resource "aws_kms_key" "rds" {
description = "RDS encryption key"
deletion_window_in_days = 10
enable_key_rotation = true
}
resource "aws_kms_alias" "rds" {
name = "alias/rds-key"
target_key_id = aws_kms_key.rds.key_id
}
# RDS instance
resource "aws_db_instance" "app" {
identifier = "myapp-db"
engine = "postgres"
engine_version = "15.2"
instance_class = "db.t3.micro"
allocated_storage = 100
storage_type = "gp3"
storage_encrypted = true
kms_key_id = aws_kms_key.rds.arn
db_name = "appdb"
username = "admin"
password = random_password.db_password.result
db_subnet_group_name = aws_db_subnet_group.app.name
vpc_security_group_ids = [aws_security_group.rds.id]
multi_az = true
publicly_accessible = false
backup_retention_period = 30
backup_window = "03:00-04:00"
maintenance_window = "mon:04:00-mon:05:00"
copy_tags_to_snapshot = true
enabled_cloudwatch_logs_exports = ["postgresql"]
enable_iam_database_authentication = true
deletion_protection = true
skip_final_snapshot = false
final_snapshot_identifier = "myapp-db-final-snapshot-${formatdate("YYYY-MM-DD-hhmm", timestamp())}"
tags = {
Name = "myapp-db"
}
}
# Generate random password
resource "random_password" "db_password" {
length = 16
special = true
}
# Store password in Secrets Manager
resource "aws_secretsmanager_secret" "db_password" {
name_prefix = "rds/myapp/"
recovery_window_in_days = 7
}
resource "aws_secretsmanager_secret_version" "db_password" {
secret_id = aws_secretsmanager_secret.db_password.id
secret_string = jsonencode({
username = aws_db_instance.app.username
password = random_password.db_password.result
engine = "postgres"
host = aws_db_instance.app.address
port = aws_db_instance.app.port
dbname = aws_db_instance.app.db_name
})
}
# Read replica
resource "aws_db_instance" "read_replica" {
identifier = "myapp-db-read"
replicate_source_db = aws_db_instance.app.identifier
instance_class = "db.t3.micro"
publicly_accessible = false
tags = {
Name = "myapp-db-read"
}
}
# Enhanced monitoring role
resource "aws_iam_role" "rds_monitoring" {
assume_role_policy = jsonencode({
Version = "2012-10-17"
Statement = [{
Action = "sts:AssumeRole"
Effect = "Allow"
Principal = {
Service = "monitoring.rds.amazonaws.com"
}
}]
})
}
resource "aws_iam_role_policy_attachment" "rds_monitoring" {
role = aws_iam_role.rds_monitoring.name
policy_arn = "arn:aws:iam::aws:policy/service-role/AmazonRDSEnhancedMonitoringRole"
}
# CloudWatch alarms
resource "aws_cloudwatch_metric_alarm" "db_cpu" {
alarm_name = "rds-high-cpu"
comparison_operator = "GreaterThanThreshold"
evaluation_periods = 2
metric_name = "CPUUtilization"
namespace = "AWS/RDS"
period = 300
statistic = "Average"
threshold = 80
alarm_description = "Alert when RDS CPU exceeds 80%"
dimensions = {
DBInstanceIdentifier = aws_db_instance.app.id
}
}
resource "aws_cloudwatch_metric_alarm" "db_connections" {
alarm_name = "rds-high-connections"
comparison_operator = "GreaterThanThreshold"
evaluation_periods = 1
metric_name = "DatabaseConnections"
namespace = "AWS/RDS"
period = 300
statistic = "Average"
threshold = 80
alarm_description = "Alert when database connections exceed 80"
dimensions = {
DBInstanceIdentifier = aws_db_instance.app.id
}
}
# Outputs
output "db_endpoint" {
value = aws_db_instance.app.endpoint
description = "RDS endpoint address"
}
output "db_password_secret" {
value = aws_secretsmanager_secret.db_password.arn
description = "Secret Manager ARN for database credentials"
}
3. Database Connection and Configuration
# Connect to RDS instance
psql -h myapp-db.xxxx.us-east-1.rds.amazonaws.com \
-U admin \
-d appdb \
-p 5432
# Create database user with IAM authentication
psql -h myapp-db.xxxx.us-east-1.rds.amazonaws.com \
-U admin \
-d appdb << EOF
CREATE USER app_user;
GRANT CONNECT ON DATABASE appdb TO app_user;
GRANT USAGE ON SCHEMA public TO app_user;
GRANT SELECT, INSERT, UPDATE, DELETE ON ALL TABLES IN SCHEMA public TO app_user;
ALTER ROLE app_user WITH PASSWORD 'MySecurePassword123!';
EOF
# Export database
pg_dump -h myapp-db.xxxx.us-east-1.rds.amazonaws.com \
-U admin \
appdb > backup.sql
# Import database
psql -h myapp-db.xxxx.us-east-1.rds.amazonaws.com \
-U admin \
appdb < backup.sql
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
Monitoring
- CloudWatch metrics (CPU, connections, storage)
- Enhanced Monitoring with OS metrics
- RDS Performance Insights
- AWS CloudTrail for API logging
- Custom CloudWatch Logs from applications
Resources
Repository

aj-geddes
Author
aj-geddes/useful-ai-prompts/skills/aws-rds-database
25
Stars
1
Forks
Updated4d ago
Added6d ago