Install
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Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
AWS RDS Spring Boot Integration
Overview
Configure AWS RDS databases (Aurora, MySQL, PostgreSQL) with Spring Boot applications. Provides patterns for datasource configuration, HikariCP connection pooling, SSL connections, environment-specific configurations, and AWS Secrets Manager integration.
When to Use
Use when configuring HikariCP connection pools for RDS workloads, implementing read/write split with Aurora replicas, setting up IAM database authentication, enabling SSL/TLS connections, managing database migrations with Flyway, or troubleshooting RDS connectivity issues.
Instructions
Follow these steps to configure AWS RDS with Spring Boot:
- Add Dependencies — Include Spring Data JPA, database driver (MySQL/PostgreSQL), and Flyway
- Configure Datasource — Set connection properties in application.yml
- Configure HikariCP — Optimize pool settings for your RDS workload
- Set Up SSL — Enable encrypted connections to RDS
- Configure Profiles — Set environment-specific configurations (dev/prod)
- Add Migrations — Create Flyway scripts for schema management
- Validate Connectivity — Run health check to verify database connection
If validation fails: Check security group rules, verify credentials, ensure RDS is accessible from your network, and confirm SSL certificate configuration.
- Run Migrations — Apply Flyway migrations only after connectivity validation passes
Quick Start
Step 1: Add Dependencies
Maven (pom.xml):
org.springframework.boot
spring-boot-starter-data-jpa
com.mysql
mysql-connector-j
8.2.0
runtime
org.postgresql
postgresql
runtime
org.flywaydb
flyway-core
org.springframework.boot
spring-boot-starter-validation
Gradle (build.gradle):
dependencies {
implementation 'org.springframework.boot:spring-boot-starter-data-jpa'
implementation 'org.springframework.boot:spring-boot-starter-validation'
// Aurora MySQL
runtimeOnly 'com.mysql:mysql-connector-j:8.2.0'
// Aurora PostgreSQL (alternative)
runtimeOnly 'org.postgresql:postgresql'
// Flyway
implementation 'org.flywaydb:flyway-core'
}
Step 2: Basic Datasource Configuration
Use the configuration in the Examples section below. For PostgreSQL, change:
- Driver:
org.postgresql.Driver - URL:
jdbc:postgresql://...with?ssl=true&sslmode=require - Dialect:
org.hibernate.dialect.PostgreSQLDialect
Step 3: Set Up Environment Variables
# Production environment variables
export DB_PASSWORD=YourStrongPassword123!
export SPRING_PROFILES_ACTIVE=prod
# For development
export SPRING_PROFILES_ACTIVE=dev
Database Migration Setup
Create migration files for Flyway:
src/main/resources/db/migration/
├── V1__create_users_table.sql
├── V2__add_phone_column.sql
└── V3__create_orders_table.sql
V1__createuserstable.sql:
CREATE TABLE users (
id BIGINT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(100) NOT NULL,
email VARCHAR(255) NOT NULL UNIQUE,
created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
INDEX idx_email (email)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
Examples
Example 1: Aurora MySQL Configuration
spring:
datasource:
url: jdbc:mysql://myapp-aurora-cluster.cluster-abc123xyz.us-east-1.rds.amazonaws.com:3306/devops
username: admin
password: ${DB_PASSWORD}
driver-class-name: com.mysql.cj.jdbc.Driver
hikari:
maximum-pool-size: 20
minimum-idle: 5
connection-timeout: 20000
jpa:
hibernate:
ddl-auto: validate
open-in-view: false
Example 2: Aurora PostgreSQL with SSL
spring.datasource.url=jdbc:postgresql://myapp-aurora-pg-cluster.cluster-abc123xyz.us-east-1.rds.amazonaws.com:5432/devops?ssl=true&sslmode=require
spring.datasource.username=${DB_USERNAME}
spring.datasource.password=${DB_PASSWORD}
spring.datasource.hikari.maximum-pool-size=30
spring.jpa.properties.hibernate.dialect=org.hibernate.dialect.PostgreSQLDialect
Example 3: Read/Write Split Configuration
@Configuration
public class DataSourceConfiguration {
@Bean
@Primary
public DataSource dataSource(
@Qualifier("writerDataSource") DataSource writerDataSource,
@Qualifier("readerDataSource") DataSource readerDataSource) {
Map targetDataSources = new HashMap<>();
targetDataSources.put("writer", writerDataSource);
targetDataSources.put("reader", readerDataSource);
RoutingDataSource routingDataSource = new RoutingDataSource();
routingDataSource.setTargetDataSources(targetDataSources);
routingDataSource.setDefaultTargetDataSource(writerDataSource);
return routingDataSource;
}
}
Constraints and Warnings
- HikariCP pool size must respect RDS instance connection limits
- Security groups must allow traffic from your application's IP range
- Use AWS Secrets Manager instead of hardcoding credentials
- Enable storage autoscaling to prevent storage exhaustion
Best Practices
- HikariCP: Enable leak detection and configure timeouts for failover scenarios
- Security: Enable SSL/TLS; use IAM Database Authentication when possible
- Performance: Disable open-in-view; use appropriate indexing and batch operations
- Monitoring: Enable Spring Boot Actuator with database health checks
Testing
Verify connectivity with this health check endpoint:
@RestController
@RequestMapping("/api/health")
public class DatabaseHealthController {
@Autowired
private DataSource dataSource;
@GetMapping("/db-connection")
public ResponseEntity> testDatabaseConnection() {
Map response = new HashMap<>();
try (Connection connection = dataSource.getConnection()) {
response.put("status", "success");
response.put("database", connection.getCatalog());
response.put("connected", true);
return ResponseEntity.ok(response);
} catch (Exception e) {
response.put("status", "failed");
response.put("error", e.getMessage());
response.put("connected", false);
return ResponseEntity.status(HttpStatus.SERVICE_UNAVAILABLE).body(response);
}
}
}
curl http://localhost:8080/api/health/db-connection
Support
For detailed troubleshooting and advanced configuration, refer to:
- [AWS RDS Aurora Advanced Configuration](references/advanced-configuration.md)
- [AWS RDS Aurora Troubleshooting Guide](references/troubleshooting.md)
- AWS RDS Aurora documentation
- Spring Boot Data RDS Aurora documentation
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: giuseppe-trisciuoglio
- Source: giuseppe-trisciuoglio/developer-kit
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.