Gaurav Sen System Design Link

: Understand when to use LRU (Least Recently Used), LFU (Least Frequently Used), or FIFO.

When breaking down large-scale systems, Gaurav Sen frequently emphasizes several critical architectural layers: Load Balancing and Consistent Hashing

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Data is written to the cache instantly, and asynchronously synced to the database later. Incredibly fast writes, but risks data loss if the cache crashes before syncing.

: What are the system's constraints? (e.g., "High availability is preferred over strict consistency; reads must be under 200ms.") Step 2: Capacity Estimation : Understand when to use LRU (Least Recently

What is the peak read/write load?

Every read receives the most recent write or an error. Incredibly fast writes, but risks data loss if

Caching is the fastest way to reduce database load and network latency. Gaurav Sen often details the trade-offs between different caching write policies:

: Software load balancers (like Nginx or HAProxy) offer flexibility, while hardware solutions provide raw performance.