Category
scalability
6 articles across 5 sub-topics
Serverless Architecture Pattern: Event-Driven Scale with Operational Guardrails
TLDR: Serverless is strongest for spiky asynchronous workloads when cold-start, observability, and state boundaries are intentionally designed. TLDR: Serverless works best for spiky, event-driven workloads when you design for idempotency, observabili...
Little's Law: The Secret Formula for System Performance
TLDR: Little's Law ($L = \lambda W$) connects three metrics every system designer measures: $L$ = concurrent requests in flight, $\lambda$ = throughput (RPS), $W$ = average response time. If latency spikes, your concurrency requirement explodes with ...
System Design Sharding Strategy: Choosing Keys, Avoiding Hot Spots, and Resharding Safely
TLDR: Sharding means splitting one logical dataset across multiple physical databases so no single node carries all the data and traffic. The hard part is not adding more nodes. The hard part is choosing a shard key that keeps data balanced and queri...
System Design: Caching and Asynchronism
TLDR: Caching stores hot data in fast RAM so you skip slow database round-trips. Asynchronism moves slow tasks (email, video processing) off the critical path via message queues. Together, they turn a blocking, slow system into a responsive, scalable...