Skip to main content
ClaudeWave
Skill279 repo starsupdated 6d ago

aws-sdk-java-v2-rds

**aws-sdk-java-v2-rds** This skill provides patterns for managing Amazon RDS database instances using AWS SDK for Java 2.x. Use it when creating, modifying, or monitoring RDS instances, snapshots, parameter groups, and configurations in Java applications, including setting up Multi-AZ deployments and integrating RDS with Lambda functions.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kit /tmp/aws-sdk-java-v2-rds && cp -r /tmp/aws-sdk-java-v2-rds/plugins/developer-kit-java/skills/aws-sdk-java-v2-rds ~/.claude/skills/aws-sdk-java-v2-rds
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# AWS SDK for Java v2 - RDS Management

## Overview

This skill provides comprehensive guidance for working with Amazon RDS (Relational Database Service) using the AWS SDK for Java 2.x, covering database instance management, snapshots, parameter groups, and RDS operations.

## When to Use

- Creating, modifying, or deleting RDS database instances
- Managing DB snapshots, parameter groups, and configurations
- Setting up Multi-AZ deployments and automated backups
- Connecting Lambda functions to RDS databases
- Monitoring instance status and performance

## Instructions

Follow these steps to work with Amazon RDS:

1. **Add Dependencies** - Include AWS RDS SDK dependency and database drivers
2. **Create RDS Client** - Instantiate RdsClient with proper region and credentials
3. **Create DB Instance** - Use createDBInstance() with appropriate configuration
4. **Configure Security** - Set up VPC security groups and encryption
5. **Set Up Backups** - Configure automated backup windows and retention
6. **Monitor Status** - Use describeDBInstances() to check instance state
7. **Create Snapshots** - Take manual snapshots before major changes
8. **Handle Failover** - Configure Multi-AZ for high availability

## Getting Started

### RDS Client Setup

The `RdsClient` is the main entry point for interacting with Amazon RDS.

**Basic Client Creation:**
```java
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.rds.RdsClient;

RdsClient rdsClient = RdsClient.builder()
    .region(Region.US_EAST_1)
    .build();

// Use client
describeInstances(rdsClient);

// Always close the client
rdsClient.close();
```

**Client with Custom Configuration:**
```java
import software.amazon.awssdk.auth.credentials.ProfileCredentialsProvider;
import software.amazon.awssdk.http.apache.ApacheHttpClient;

RdsClient rdsClient = RdsClient.builder()
    .region(Region.US_WEST_2)
    .credentialsProvider(ProfileCredentialsProvider.create("myprofile"))
    .httpClient(ApacheHttpClient.builder()
        .connectionTimeout(Duration.ofSeconds(30))
        .socketTimeout(Duration.ofSeconds(60))
        .build())
    .build();
```

### Describing DB Instances

```java
DescribeDbInstancesResponse response = rdsClient.describeDBInstances();
for (DBInstance instance : response.dbInstances()) {
    System.out.println(instance.dbInstanceArn() + " - " + instance.dbInstanceStatus());
}
```

## Key Operations

### Creating DB Instances

```java
CreateDbInstanceRequest request = CreateDbInstanceRequest.builder()
    .dbInstanceIdentifier(dbInstanceIdentifier)
    .dbName(dbName)
    .engine("postgres")
    .engineVersion("15.4")
    .dbInstanceClass("db.t3.micro")
    .allocatedStorage(20)
    .masterUsername(masterUsername)
    .masterUserPassword(masterPassword)
    .publiclyAccessible(false)
    .build();

CreateDbInstanceResponse response = rdsClient.createDBInstance(request);

// VALIDATION CHECKPOINT: Wait for instance to be available
rdsClient.waiter().waitUntilDBInstanceAvailable(
    DescribeDbInstancesRequest.builder().dbInstanceIdentifier(dbInstanceIdentifier).build()
);
System.out.println("Instance " + dbInstanceIdentifier + " is available!");
```

### Managing DB Parameter Groups

```java
CreateDbParameterGroupRequest request = CreateDbParameterGroupRequest.builder()
    .dbParameterGroupName(groupName)
    .dbParameterGroupFamily("postgres15")
    .description(description)
    .build();
rdsClient.createDBParameterGroup(request);
```

### Managing DB Snapshots

```java
CreateDbSnapshotRequest request = CreateDbSnapshotRequest.builder()
    .dbInstanceIdentifier(dbInstanceIdentifier)
    .dbSnapshotIdentifier(snapshotIdentifier)
    .build();
CreateDbSnapshotResponse response = rdsClient.createDBSnapshot(request);
```

## Integration Patterns

### Spring Boot Integration

Refer to [references/spring-boot-integration.md](references/spring-boot-integration.md) for complete Spring Boot integration examples including:

- Spring Boot configuration with application properties
- RDS client bean configuration
- Service layer implementation
- REST controller design
- Exception handling
- Testing strategies

### Lambda Integration

Refer to [references/lambda-integration.md](references/lambda-integration.md) for Lambda integration examples including:

- Traditional Lambda + RDS connections
- Lambda with connection pooling
- Using AWS Secrets Manager for credentials
- Lambda with AWS SDK for RDS management
- Security configuration and best practices

## Advanced Operations

### Modifying DB Instances

```java
ModifyDbInstanceRequest request = ModifyDbInstanceRequest.builder()
    .dbInstanceIdentifier(dbInstanceIdentifier)
    .dbInstanceClass(newInstanceClass)
    .applyImmediately(false)
    .build();
rdsClient.modifyDBInstance(request);
```

### Deleting DB Instances

```java
// VALIDATION CHECKPOINT: Verify instance exists and check status
DBInstance instance = rdsClient.describeDBInstances(
    DescribeDbInstancesRequest.builder().dbInstanceIdentifier(dbInstanceIdentifier).build()
).dbInstances().get(0);

if ("available".equals(instance.dbInstanceStatus())) {
    DeleteDbInstanceRequest request = DeleteDbInstanceRequest.builder()
        .dbInstanceIdentifier(dbInstanceIdentifier)
        .skipFinalSnapshot(false)
        .finalDBSnapshotIdentifier(snapshotId)
        .build();
    rdsClient.deleteDBInstance(request);
}
```

## Examples

### Complete RDS Instance Creation with Validation

```java
public String createSecurePostgreSQLInstance(RdsClient rdsClient,
                                            String instanceIdentifier,
                                            String dbName,
                                            String masterUsername,
                                            String masterPassword,
                                            String vpcSecurityGroupId) {
    // Create instance with security settings
    CreateDbInstanceRequest request = CreateDbInstanceRequest.bu
chunking-strategySkill

Provides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap percentages (10-20%), and semantic boundary detection methods. Validates semantic coherence and evaluates retrieval precision/recall metrics. Use when building retrieval-augmented generation systems, vector databases, or processing large documents.

prompt-engineeringSkill

>

ragSkill

Implements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation systems. Use when building RAG applications, creating document Q&A systems, or integrating AI with knowledge bases.

aws-cloudformation-auto-scalingSkill

Provides AWS CloudFormation patterns for Auto Scaling including EC2, ECS, and Lambda. Use when creating Auto Scaling groups, launch configurations, launch templates, scaling policies, lifecycle hooks, and predictive scaling. Covers template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references, and best practices for high availability and cost optimization.

aws-cloudformation-bedrockSkill

Provides AWS CloudFormation patterns for Amazon Bedrock resources including agents, knowledge bases, data sources, guardrails, prompts, flows, and inference profiles. Use when creating Bedrock agents with action groups, implementing RAG with knowledge bases, configuring vector stores, setting up content moderation guardrails, managing prompts, orchestrating workflows with flows, and configuring inference profiles for model optimization.

aws-cloudformation-cloudfrontSkill

Provides AWS CloudFormation patterns for CloudFront distributions, origins (ALB, S3, Lambda@Edge, VPC Origins), CacheBehaviors, Functions, SecurityHeaders, parameters, Outputs and cross-stack references. Use when creating CloudFront distributions with CloudFormation, configuring multiple origins, implementing caching strategies, managing custom domains with ACM, configuring WAF, and optimizing performance.

aws-cloudformation-cloudwatchSkill

Provides AWS CloudFormation patterns for CloudWatch monitoring, metrics, alarms, dashboards, logs, and observability. Use when creating CloudWatch metrics, alarms, dashboards, log groups, log subscriptions, anomaly detection, synthesized canaries, Application Signals, and implementing template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references, and CloudWatch best practices for monitoring production infrastructure.

aws-cloudformation-dynamodbSkill

Provides AWS CloudFormation patterns for DynamoDB tables, GSIs, LSIs, auto-scaling, and streams. Use when creating DynamoDB tables with CloudFormation, configuring primary keys, local/global secondary indexes, capacity modes (on-demand/provisioned), point-in-time recovery, encryption, TTL, and implementing template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references.