aws-optimization-sst

Optimize AWS serverless resources using SST-based patterns for Lambda, DynamoDB, S3, and API Gateway.

1|Updated Aug 7, 2024
One-click install
npx skills add https://github.com/tejovanthn/rasikalife --skill aws-optimization-sst
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aws-optimization-sst
Source: https://github.com/tejovanthn/rasikalife/tree/main/.opencode/skill/aws-optimization-sst
Command: npx skills add https://github.com/tejovanthn/rasikalife --skill aws-optimization-sst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams reduce AWS spend and improve performance by applying SST-based optimization patterns across serverless infrastructure.

Core Features & Use Cases

  • Pattern-driven optimization: Tune Lambda memory/timeout, use arm64, and enable provisioned concurrency where appropriate.
  • DynamoDB, S3, API Gateway optimization: Optimize data access, storage, and API responses to reduce latency and cost.
  • Operational guidance: Provide deployment-time best practices and configuration templates for production workloads.

Quick Start

Apply the SST optimization guide to your AWS project: start by tuning Lambda memory and timeout, enable arm64, and implement the recommended DynamoDB, S3, and API Gateway patterns.

Frequently Asked Questions about aws-optimization-sst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce AWS serverless costs with SST?

Reduce AWS serverless costs by applying SST-driven optimization patterns to tune Lambda memory and timeout, enable arm64 architectures, and optimize DynamoDB, S3, and API Gateway configurations for better performance and lower spend.

What is the best way to optimize Lambda memory and timeout in an SST project?

Optimize Lambda memory and timeout in SST by applying pattern-driven tuning, switching to arm64 architectures, and enabling provisioned concurrency where appropriate to balance execution speed and cost efficiency.

Can I use SST to optimize DynamoDB and S3 for cost efficiency?

Yes, SST configurations can optimize DynamoDB data access patterns and S3 storage configurations, reducing latency and operational costs across your serverless infrastructure.

Do I need prior AWS infrastructure experience to apply these SST optimization patterns?

Yes, applying these optimization patterns requires familiarity with SST configurations, Lambda tuning, and common AWS resource optimizations to effectively manage production serverless workloads.

When should I not use provisioned concurrency for Lambda in SST?

Provisioned concurrency should be avoided for Lambda functions with unpredictable or sporadic traffic patterns in SST, as it incurs continuous charges regardless of invocation volume, reducing cost efficiency.