aws-serverless-eda_skill

Overview

This skill is an AWS serverless and event-driven architecture expert based on the Well-Architected Framework. It provides practical guidance, patterns, and operational recommendations for building scalable, resilient Lambda-based systems using API Gateway, DynamoDB, Step Functions, EventBridge, SQS, SNS, and related services. Use it to design, validate, and harden serverless APIs, async workflows, and event-driven microservices.

How this skill works

The skill inspects your design goals and recommends patterns, trade-offs, and concrete implementations aligned with AWS best practices. It suggests templates and lifecycle actions for SAM/CLI, invokes or simulates Lambdas and Step Functions for testing, and maps event-routing, queueing, and pub/sub patterns to your requirements. It highlights operational controls like concurrency, retries, idempotency, and observability to prevent common serverless pitfalls.

When to use it

• Designing Lambda-backed REST or HTTP APIs with API Gateway
• Implementing asynchronous processing with SQS, SNS, or EventBridge
• Orchestrating multi-step business flows using Step Functions (including saga patterns)
• Building scalable data pipelines, stream or batch processing with Kinesis/DynamoDB streams
• Architecting event-driven microservices and pub/sub fan-out patterns
• Planning fault-tolerance, retries, and idempotency for distributed transactions

Best practices

• Keep Lambdas single-purpose and lightweight; prefer small, testable functions
• Design for concurrency: consider downstream throttling, connection reuse, and auto-scaling
• Use managed state services: DynamoDB, S3, or Step Functions instead of local process state
• Orchestrate flows with Step Functions rather than chaining Lambdas for visibility and retries
• Favor event-driven triggers to decouple services and improve resilience
• Implement idempotency, exponential backoff, dead-letter queues, and observability (tracing, metrics, structured logs)

Example use cases

• APIs: REST/HTTP endpoints with Lambda backends, throttling, and CI/CD via SAM
• Queue-based workers: SQS consumers that process tasks with DLQ and deduplication
• Event routing: EventBridge bus for filtered fan-out to multiple consumers
• Saga workflows: Step Functions coordinating multi-service bookings with compensating actions
• Event sourcing: DynamoDB event store with stream-based projections and materialized views