Your web application is facing peak traffic. How can you guarantee seamless API functionality?

Read only requests should be identified and directed to secondary DB for any searches. Entities must be indexed properly. Implement caching in conjunction with DB searches. Search APIs must always implement the above mentioned strategy at a minimum to receive faster response.

To ensure seamless API functionality during peak traffic: Load Balancing: Distribute traffic across servers. Caching: Use API and database caching (e.g., Redis). Rate Limiting: Limit excessive requests. Asynchronous Processing: Use queues for heavy tasks. Failover: Set up failover mechanisms. Optimize Code: Improve efficiency and batch requests.

I would follow these - Reduce unnecessary calls to the server. - Cache the data so the same wouldn't fetch again and again - Use pagination and filter to reduce on the server and to respond more quickly - Divide API call among the server if it's the distributed servers being used. - Only fetch data that is required so every time API response shouldn't contain extra and unused things.

When my web app faces peak traffic, I use strategies from "The Phoenix Project" by Gene Kim, focusing on resilience and proactive measures: - Caching: I implement caching to reduce server load, improving response times for frequently accessed data. - Load Balancing: I deploy load balancers to evenly distribute incoming requests across multiple servers, preventing any single server from becoming overwhelmed. - Real-Time Monitoring: I monitor API performance in real-time, using alerts to quickly address bottlenecks and ensure seamless service during peak times. These proactive strategies help maintain optimal API performance, even under high traffic.