The article "API Pagination: Making Billions of Products Scrolling Possible" from ByteByteGo explores the challenges and solutions related to implementing pagination in APIs, particularly when dealing with extensive databases containing billions of products. It emphasizes the importance of efficient data retrieval methods to enhance user experience while minimizing server load. The article discusses various pagination strategies, including offset-based and cursor-based pagination, and highlights their pros and cons. The author provides insights on best practices for designing robust pagination systems that can handle large volumes of data without compromising performance.

Key Points:

• API pagination is crucial for efficiently managing large datasets.
• Challenges include server load, user experience, and data consistency.
• Offset-based pagination can lead to performance issues as data grows.
• Cursor-based pagination is generally more efficient for large datasets.
• Best practices for pagination design include implementing limits on data retrieval and considering user experience.
  Link to Article