When designing large-scale systems, API rate limiting is crucial to prevent overloads and ensure stability. Different methods include fixed window, sliding window, token bucket, and leaky bucket. Rate limiting/API throttling restricts the number of requests to APIs, crucial for security, performance, and cost management. Understanding the difference between rate limiting and throttling is essential for effective API management.