Distributed Caching, Sharding & High-Throughput Architectures

Scaling a platform to handle millions of requests per second requires intelligent data distribution.

Distributed Caching

Caches sit in front of databases to serve frequently accessed data at microsecond latency. We will cover cache invalidation strategies, Cache-Aside, and Write-Through caching.

Database Sharding

When a single database instance cannot handle the write throughput or dataset size, sharding splits the data horizontally across multiple instances based on a shard key.

High-Throughput Architectures

We will explore event-driven architectures utilizing message queues (like Kafka or RabbitMQ) to decouple services and smooth out traffic spikes.