/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.
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Deploy and manage relational databases using RDS with Multi-AZ, read replicas, backups, and encryption. Use for PostgreSQL, MySQL, MariaDB, and Oracle.
SKILL.md
aws-rds-database.SKILL.mdname: 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
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#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:
| Guide | Contents | |---|---| | [RDS Instance Creation with AWS CLI](references/rds-instance-creation-with-aws-cli.md) | RDS Instance Creation with AWS CLI | | [Terraform RDS Configuration](references/terraform-rds-configuration.md) | Terraform RDS Configuration | | [Database Connection and Configuration](references/database-connection-and-configuration.md) | Database Connection and Configuration |
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
Read more
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
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#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:
| Guide | Contents | |---|---| | [RDS Instance Creation with AWS CLI](references/rds-instance-creation-with-aws-cli.md) | RDS Instance Creation with AWS CLI | | [Terraform RDS Configuration](references/terraform-rds-configuration.md) | Terraform RDS Configuration | | [Database Connection and Configuration](references/database-connection-and-configuration.md) | Database Connection and Configuration |
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
488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.
Repo: aj-geddes/useful-ai-prompts
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