aws-lambda-java-integration

name	aws-lambda-java-integration
description	Provides AWS Lambda integration patterns for Java with cold start optimization. Use when deploying Java functions to AWS Lambda, choosing between Micronaut and Raw Java approaches, optimizing cold starts below 1 second, configuring API Gateway or ALB integration, or implementing serverless Java applications. Triggers include "create lambda java", "deploy java lambda", "micronaut lambda aws", "java lambda cold start", "aws lambda java performance", "java serverless framework".
allowed-tools	Read, Write, Edit, Bash, Glob, Grep

AWS Lambda Java Integration

Patterns for creating high-performance AWS Lambda functions in Java with optimized cold starts.

Overview

This skill provides complete patterns for AWS Lambda Java development, covering two main approaches:

1. Micronaut Framework - Full-featured framework with AOT compilation, dependency injection, and cold start < 1s
2. Raw Java - Minimal overhead approach with cold start < 500ms

Both approaches support API Gateway and ALB integration with production-ready configurations.

When to Use

Use this skill when:

• Creating new Lambda functions in Java
• Migrating existing Java applications to Lambda
• Optimizing cold start performance for Java Lambda
• Choosing between framework-based and minimal Java approaches
• Configuring API Gateway or ALB integration
• Setting up deployment pipelines for Java Lambda

Instructions

1. Choose Your Approach

Approach	Cold Start	Best For	Complexity
Micronaut	< 1s	Complex apps, DI needed, enterprise	Medium
Raw Java	< 500ms	Simple handlers, minimal overhead	Low

2. Project Structure

my-lambda-function/
├── build.gradle (or pom.xml)
├── src/
│   └── main/
│       ├── java/
│       │   └── com/example/
│       │       └── Handler.java
│       └── resources/
│           └── application.yml (Micronaut only)
└── serverless.yml (or template.yaml)

3. Implementation Examples

Micronaut Handler

@FunctionBean("my-function")
public class MyFunction implements Function<APIGatewayProxyRequestEvent, APIGatewayProxyResponseEvent> {

    private final MyService service;

    public MyFunction(MyService service) {
        this.service = service;
    }

    @Override
    public APIGatewayProxyResponseEvent apply(APIGatewayProxyRequestEvent request) {
        // Process request
        return new APIGatewayProxyResponseEvent()
            .withStatusCode(200)
            .withBody("{\"message\": \"Success\"}");
    }
}

Raw Java Handler

public class MyHandler implements RequestHandler<APIGatewayProxyRequestEvent, APIGatewayProxyResponseEvent> {

    // Singleton pattern for warm invocations
    private static final MyService service = new MyService();

    @Override
    public APIGatewayProxyResponseEvent handleRequest(APIGatewayProxyRequestEvent request, Context context) {
        return new APIGatewayProxyResponseEvent()
            .withStatusCode(200)
            .withBody("{\"message\": \"Success\"}");
    }
}

Core Concepts

Cold Start Optimization

Cold start time depends on initialization code. Key strategies:

1. Lazy Initialization - Defer heavy setup from constructor
2. Singleton Pattern - Cache initialized services as static fields
3. Minimal Dependencies - Reduce JAR size by excluding unused libraries
4. AOT Compilation - Micronaut's ahead-of-time compilation eliminates reflection

Connection Management

// GOOD: Initialize once, reuse across invocations
private static final DynamoDbClient dynamoDb = DynamoDbClient.builder()
    .region(Region.US_EAST_1)
    .build();

// AVOID: Creating clients in handler method
public APIGatewayProxyResponseEvent handleRequest(...) {
    DynamoDbClient client = DynamoDbClient.create(); // Slow on every invocation
}

Error Handling

@Override
public APIGatewayProxyResponseEvent handleRequest(APIGatewayProxyRequestEvent request, Context context) {
    try {
        // Business logic
        return successResponse(result);
    } catch (ValidationException e) {
        return errorResponse(400, e.getMessage());
    } catch (Exception e) {
        context.getLogger().log("Error: " + e.getMessage());
        return errorResponse(500, "Internal error");
    }
}

Best Practices

Memory and Timeout Configuration

• Memory: Start with 512MB, adjust based on profiling
• Timeout: Set based on cold start + expected processing time
  • Micronaut: 10-30 seconds for cold start buffer
  • Raw Java: 5-10 seconds typically sufficient

Packaging

• Use Gradle Shadow Plugin or Maven Shade Plugin
• Exclude unnecessary dependencies
• Target Java 17 or 21 for best performance

Monitoring

• Enable X-Ray tracing for performance analysis
• Log initialization time separately from processing time
• Use CloudWatch Insights to track cold vs warm starts

Deployment Options

Serverless Framework

service: my-java-lambda

provider:
  name: aws
  runtime: java21
  memorySize: 512
  timeout: 10

package:
  artifact: build/libs/function.jar

functions:
  api:
    handler: com.example.Handler
    events:
      - http:
          path: /{proxy+}
          method: ANY

AWS SAM

AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31

Resources:
  MyFunction:
    Type: AWS::Serverless::Function
    Properties:
      CodeUri: build/libs/function.jar
      Handler: com.example.Handler
      Runtime: java21
      MemorySize: 512
      Timeout: 10
      Events:
        ApiEvent:
          Type: Api
          Properties:
            Path: /{proxy+}
            Method: ANY

Constraints and Warnings

Lambda Limits

• Deployment package: 250MB unzipped maximum
• Memory: 128MB to 10GB
• Timeout: 15 minutes maximum
• Concurrent executions: 1000 default (adjustable)

Java-Specific Considerations

• Reflection: Minimize use; prefer AOT compilation (Micronaut)
• Classpath scanning: Slows cold start; use explicit configuration
• Large frameworks: Spring Boot adds significant cold start overhead

Common Pitfalls

1. Initialization in handler - Causes repeated work on warm invocations
2. Oversized JARs - Include only required dependencies
3. Insufficient memory - Java needs more memory than Node.js/Python
4. No timeout handling - Always set appropriate timeouts

References

For detailed guidance on specific topics:

• Micronaut Lambda - Complete Micronaut setup, AOT configuration, DI optimization
• Raw Java Lambda - Minimal handler patterns, singleton caching, JAR packaging
• Serverless Deployment - Serverless Framework, SAM, CI/CD pipelines, provisioned concurrency
• Testing Lambda - JUnit 5, SAM Local, integration testing, performance measurement

Examples

Example 1: Create a Micronaut Lambda Function

Input:

Create a Java Lambda function using Micronaut to handle user REST API

Process:

1. Configure Gradle project with Micronaut plugin
2. Create Handler class extending MicronautRequestHandler
3. Implement methods for GET/POST/PUT/DELETE
4. Configure application.yml with AOT optimizations
5. Set up packaging with Shadow plugin

Output:

• Complete project structure
• Handler with dependency injection
• serverless.yml deployment configuration

Example 2: Optimize Cold Start for Raw Java

Input:

My Java Lambda has 3 second cold start, how do I optimize it?

Process:

1. Analyze initialization code
2. Move AWS client creation to static fields
3. Reduce dependencies in build.gradle
4. Configure optimized JVM options
5. Consider provisioned concurrency

Output:

• Refactored code with singleton pattern
• Minimized JAR
• Cold start < 500ms

Example 3: Deploy with GitHub Actions

Input:

Configure CI/CD for Java Lambda with SAM

Process:

1. Create GitHub Actions workflow
2. Configure Gradle build with Shadow
3. Set up SAM build and deploy
4. Add test stage before deployment
5. Configure environment protection for prod

Output:

• Complete .github/workflows/deploy.yml
• Multi-stage pipeline (dev/staging/prod)
• Integrated test automation

Version

Version: 1.0.0