Search curriculum tracks, DSA problems, systems theory and tools...
Design systems capable of scaling to hundreds of millions of requests. Master trade-offs in consistency, latency, and operational cost.
Load balancing, reverse proxies, rate limiting, and failover topologies for 99.999% uptime.
Sharding, consistent hashing, replication lag, CAP theorem trade-offs, and consensus protocols.
Write-through vs write-back caching, cache stampede prevention, eviction policies, and edge caching.
Circuit breakers, bulkhead patterns, distributed tracing, and chaos engineering testing.