Explore How to Handle Failure Points, Load Balancing, & Caching

Addressing failure points in system design involves implementing replication and fault tolerance to ensure resilience against component failures. Each service must be horizontally scalable, with the ability to autoscale during peak loads. Load balancing techniques like the Least Connection and Round Robin methods help distribute requests across multiple service instances, while in systems like Kafka, queue-based load balancing efficiently manages consumer instance workloads. Caching strategies optimize performance by storing frequently accessed data, such as popular menu items, in systems like Redis or Memcached, improving response times for users significantly.