Building a highly scalable serverless real-time analytics platform -建構高擴展性的無伺服器即時分析平台

Design a serverless architecture for real-time analytics, detailing the technical approach and considerations for advanced users familiar with cloud computing. Outline the selection process for cloud services, data processing strategies, and scalability measures. Provide specific examples of handling high-volume data streams and integrating with popular analytics tools. Address the key benefits and challenges of this serverless approach, including potential trade-offs and best practices for implementation.

設計一個用於即時分析的無伺服器架構，詳細說明技術方法以及面向熟悉雲端運算的高級用戶的注意事項。概述雲端服務的選擇流程、資料處理策略和可擴展性指標。提供處理海量資料流和與主流分析工具整合的具體範例。闡述這種無伺服器方法的主要優點和挑戰，包括潛在的權衡利弊以及最佳實踐。