Answer: By implementing the express-rate-limit library, we can prevent too many requests from the same IP address (user). This helps mitigate the risk of abuse and ensures fair usage of the service.
Answer: By using an Application/Network Load Balancer and deploying the application across different servers, the load balancer can distribute requests evenly among the servers. This ensures better performance and availability.
Answer: By aggregating requests and processing them in batches, we can reduce the workload on the database. This approach minimizes the number of individual transactions and optimizes resource usage.
4. How will you scale to a million concurrent users requesting the article's like count at the same time?
Answer: The article data can be cached using a Content Delivery Network (CDN). By serving the data from edge servers, we reduce the load on the main server and improve response times for users.