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Type-safe DynamoDB operations using AWS SDK for Java 2.x with Enhanced Client support. \n \n Covers CRUD operations, queries, scans, batch operations, and transactions using the Enhanced Client for type-safe entity mapping with @DynamoDbBean annotations \n Supports composite keys, Global Secondary Indexes (GSI), Local Secondary Indexes (LSI), and advanced filtering with QueryConditional and Expression builders \n Includes Spring Boot integration patterns with repository configuration, dependency

AWS RDS instance and snapshot management using AWS SDK for Java 2.x. \n \n Covers core RDS operations: creating and modifying DB instances, managing snapshots, parameter groups, and querying instance metadata across PostgreSQL, MySQL, Aurora, and other engines \n Includes security patterns for VPC configuration, encryption, IAM authentication, and deletion protection; Multi-AZ and automated backup setup for high availability \n Provides Spring Boot and Lambda integration examples with connection

Production-ready AWS RDS configuration patterns for Spring Boot applications with Aurora, MySQL, and PostgreSQL. \n \n Supports Aurora MySQL, Aurora PostgreSQL, and standard MySQL/PostgreSQL with datasource configuration, HikariCP connection pooling, and SSL encryption \n Includes environment-specific profiles (dev/prod), Flyway database migrations, and read/write endpoint splitting for read-heavy workloads \n Provides security patterns using environment variables and AWS Secrets Manager integra

S3 object storage patterns and operations using AWS SDK for Java 2.x. \n \n Covers bucket creation, object uploads/downloads, multipart transfers, presigned URLs, and S3 Transfer Manager for optimized file handling \n Includes synchronous and asynchronous client setup with configurable retry logic, timeouts, and connection pooling \n Provides Spring Boot integration with configuration classes, service layer patterns, and async/reactive workflows \n Supports advanced operations: metadata and encr

Build custom Amazon Machine Images with Packer's amazon-ebs builder. \n \n Automates AMI creation from source AMIs using HCL templates with provisioners for customization (shell scripts, file uploads, configuration management) \n Supports multi-region AMI distribution via ami_regions and flexible source AMI filtering by name, owner, and virtualization type \n Authenticates via environment variables, AWS credentials file, or IAM instance profiles; includes validation and build commands for templa

AWS CDK expert for building cloud infrastructure with TypeScript and Python. \n \n Provides integrated MCP servers for accessing latest AWS documentation and CDK best practices, with automatic validation via cdk-nag for synthesis-time security and compliance checks \n Covers CDK app structure, construct patterns, stack composition, and deployment workflows with emphasis on letting CDK generate resource names for reusability and parallel deployments \n Supports Lambda function development using l

AWS Lambda enables you to run code without provisioning or managing servers. Build serverless applications using event-driven triggers, pay only for compute time consumed, and scale automatically with workload.

Generates AWS architecture diagrams from CloudFormation templates, CLI output, or natural language descriptions. \n \n Parses CloudFormation (YAML/JSON), AWS CLI JSON output, and text descriptions to extract VPCs, subnets, EC2 instances, RDS databases, Lambda functions, S3 buckets, security groups, load balancers, and other AWS services \n Maps resource relationships including instances within subnets, security group attachments, IAM role bindings, and data flow between services \n Converts AWS

Production-ready serverless patterns for AWS Lambda, API Gateway, DynamoDB, and event-driven architectures. \n \n Lambda handler structure with proper error handling, context optimization, and SDK client initialization for cold start efficiency \n API Gateway integration using SAM templates, supporting both HTTP and REST APIs with CORS configuration and IAM policies \n Event-driven SQS patterns with batch processing, partial failure handling, dead-letter queues, and retry logic \n Anti-patterns

Design scalable, cost-effective AWS architectures for startups with infrastructure-as-code templates. \n \n Recommends architecture patterns (serverless web, event-driven microservices, three-tier, GraphQL) based on application type, scale, budget, and compliance requirements \n Generates production-ready CloudFormation YAML, CDK TypeScript, and Terraform templates with API Gateway, Lambda, DynamoDB, ECS, Aurora, and IAM configurations \n Analyzes current AWS costs and identifies optimization op