What AWS services does this skill support?

This skill focuses on core serverless services including AWS Lambda, API Gateway (REST and HTTP), DynamoDB, SQS, and SNS, along with deployment tools like SAM and CDK.

Does it include best practices for database integration?

Absolutely. It covers DynamoDB best practices such as initializing clients outside the handler for reuse and reacting to data changes using DynamoDB Streams.

How does this skill handle Lambda performance optimization?

It provides guidance on right-sizing memory, minimizing cold starts through efficient initialization, and utilizing features like SnapStart for specific runtimes.

Can this skill help with infrastructure as code?

Yes, it includes structured patterns for AWS SAM (Serverless Application Model) templates to help you define your resources and permissions programmatically.

AWS Serverless Development

Name: AWS Serverless Development
Author: sickn33

bysickn33

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31,722

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Cloud Infrastructure

Builds production-ready serverless applications on AWS using Lambda, DynamoDB, API Gateway, and event-driven patterns.

This skill provides specialized guidance for architecting and deploying robust AWS serverless architectures. It assists developers in implementing high-performance Lambda handlers, optimizing cold starts, and designing reliable event-driven systems using SQS, SNS, and DynamoDB Streams. By leveraging built-in patterns for SAM/CDK deployment and Infrastructure as Code, it ensures that your serverless stack follows industry best practices for scalability, security, and cost-efficiency.

Key Features

01Event-driven architecture patterns for SQS, SNS, and DynamoDB Streams

0231,722 GitHub stars

03Production-grade error handling, DLQ configuration, and structured logging

04Standardized Lambda handler patterns for Node.js and Python

05Infrastructure-as-Code templates for SAM and CDK deployments

06Performance optimization strategies for cold starts and memory management

Use Cases

01Building scalable REST and HTTP APIs with API Gateway and Lambda

02Implementing decoupled asynchronous message processing with SQS and SNS

03Creating real-time data reaction pipelines using DynamoDB Streams

Key Features

01Event-driven architecture patterns for SQS, SNS, and DynamoDB Streams

0231,722 GitHub stars

03Production-grade error handling, DLQ configuration, and structured logging

04Standardized Lambda handler patterns for Node.js and Python

05Infrastructure-as-Code templates for SAM and CDK deployments

06Performance optimization strategies for cold starts and memory management

Use Cases

01Building scalable REST and HTTP APIs with API Gateway and Lambda

02Implementing decoupled asynchronous message processing with SQS and SNS

03Creating real-time data reaction pipelines using DynamoDB Streams