Implementing rate limiting to protect APIs from abuse

Rate limiting is essential for managing API resources and protecting systems from abuse, such as DDoS and brute force attacks. The core strategies include IP-based, server-based, and geography-based limits. Various algorithms like Fixed Window, Sliding Window, Token Bucket, and Leaky Bucket are used to implement these limits. Cloud services and external tools provide functionalities to aid in implementing rate limiting. Choosing the right strategy based on traffic patterns and infrastructure is crucial for optimal performance.