Question

A developer maintains a REST API on Amazon API Gateway that serves a product catalog. The GET /products endpoint receives thousands of identical requests per minute, and each request invokes a Lambda function that reads from a database. The catalog data changes only a few times per day. The team wants to reduce Lambda invocations, lower latency, and cut cost with minimal code changes. What is the MOST appropriate solution?

Accepted Answer

Enable API Gateway caching on the stage for the GET /products method with an appropriate TTL and cache key settings.

Answer

Configure Lambda provisioned concurrency to keep instances warm for the GET /products integration.

Answer

Add an ElastiCache for Redis cluster inside the Lambda function and implement a cache-aside pattern in the function code.

Answer

Increase the Lambda function's memory allocation to speed up each database read.