To manage horizontal scaling, you need a . This component sits in front of your servers and distributes incoming network traffic across multiple backend servers to ensure no single server bears too much load. 3. Databases and Storage
Adding more power (CPU, RAM) to an existing machine.
Choosing between and NoSQL is a classic interview pivot point.
Performance is often gated by database latency. Implementing a cache (like or Memcached ) allows you to store frequently accessed data in memory, drastically reducing response times. The Rylan Liu Approach: A Verified Framework
Expert Tip: Modern distributed systems almost always favor horizontal scaling due to its resilience and lack of a "ceiling." 2. Load Balancing
This is where you shine. Discuss specific bottlenecks, service discovery, or data consistency models (Eventual vs. Strong consistency).
To manage horizontal scaling, you need a . This component sits in front of your servers and distributes incoming network traffic across multiple backend servers to ensure no single server bears too much load. 3. Databases and Storage
Adding more power (CPU, RAM) to an existing machine. system design interview fundamentals rylan liu pdf verified
Choosing between and NoSQL is a classic interview pivot point. To manage horizontal scaling, you need a
Performance is often gated by database latency. Implementing a cache (like or Memcached ) allows you to store frequently accessed data in memory, drastically reducing response times. The Rylan Liu Approach: A Verified Framework Databases and Storage Adding more power (CPU, RAM)
Expert Tip: Modern distributed systems almost always favor horizontal scaling due to its resilience and lack of a "ceiling." 2. Load Balancing
This is where you shine. Discuss specific bottlenecks, service discovery, or data consistency models (Eventual vs. Strong consistency).
