Merge's engineering team has tackled the challenge of managing API rate limits effectively, especially when dealing with multiple integrations. The article outlines the complexities involved in handling varying rate limit policies across different APIs, including challenges with scaling, synchronization, and adapting to dynamic, user-specific rate limits. A robust rate limit tracker is recommended, involving a "Rate Limit Manager" to monitor configurations and track API requests using both temporary and persistent storage. Strategies like exponential backoff and scheduling are suggested for handling exceeded rate limits, alongside the implementation of dynamic thresholds to optimize performance based on anticipated data loads. These measures are essential for maintaining efficient and reliable operations in distributed systems, with Merge having successfully integrated such systems for various platforms.