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API Request Optimization

API Request Optimization

2
posts
2024–2025

This feature thread tracks Stripe's efforts to optimize API request efficiency for developers. Initial posts focus on reducing the number of API calls by leveraging features like the 'expand' parameter and implementing caching strategies. This post details advanced caching strategies using Amazon ElastiCache and DynamoDB to optimize Stripe API performance in AWS Lambda, focusing on managing API rate limits, reducing latency, and minimizing costs while ensuring data consistency and scalability in high-volume applications.

2025

Optimizing Stripe API performance in Lambda with caching strategies

4/21/2025

This post introduces advanced caching strategies for optimizing Stripe API performance within AWS Lambda functions. It details the use of Amazon ElastiCache (Redis) for in-memory caching of frequently accessed API responses and DynamoDB for caching less volatile data or metadata. The post covers design considerations for cache invalidation, data consistency, and strategies for managing API rate limits and reducing latency in high-throughput applications.

2024

Doing more with less: Reducing requests to the Stripe API

8/19/2024

This post introduces techniques for reducing Stripe API requests by effectively using the 'expand' feature and implementing caching. It highlights how these methods can improve application performance and customer experience by minimizing the number of API calls.