Core Viewpoint - The article discusses strategies for handling a sudden surge in traffic, specifically a 100-fold increase in requests per second (QPS), emphasizing the importance of a multi-faceted approach to ensure system stability and performance [5][30]. Group 1: Emergency Response Phase - Implementing rate limiting to protect the system by discarding excess requests [7][8]. - Utilizing circuit breaker and degradation strategies to prevent service avalanche effects in distributed systems [9][14]. - Employing elastic scaling and message queues to manage high concurrency during peak traffic events [15][16]. Group 2: Analysis of Traffic Surge - Analyzing the source of the traffic spike to determine if it is due to legitimate promotional activities or anomalies such as bugs or malicious attacks [17][19]. Group 3: Robust Design and System Enhancement - Horizontal scaling and microservices architecture to distribute load and improve throughput [20][21]. - Database sharding and connection pooling to handle increased database load and prevent connection bottlenecks [23][24]. - Implementing caching mechanisms to enhance system performance under high concurrency [25]. Group 4: Testing and Validation - Conducting stress tests to identify system bottlenecks and ensure the system can handle maximum concurrent requests [27][28]. - Utilizing tools like LoadRunner and JMeter for performance testing [29]. Group 5: Conclusion - The article concludes with a reminder to prepare for potential failures at any stage of the system design and to have fallback plans in place [31][33].