Consistent hashing is the backbone of many distributed systems. From caches and databases to load balancers and CDNs, it enables deterministic routing with minimal reshuffling when nodes change. Let’s explore the most common real-world use cases.
Start With This Excellent Explanation
Load balancing is about deciding where to send the next request. From weighted round robin to response-time aware routing to consistent hashing at L4 or L7, each strategy has trade-offs in complexity, fairness, and statefulness. This guide walks through the common approaches and key design considerations.
Common pitfalls and misconceptions about distributed systems topics like CAP, ACID, quorum math, and leaderless replication—designed for quick interview prep.
A simple, scalable way to suppress duplicate events and requests without heavy comparisons or global coordination.
⚙️ What Is Leaderless Replication?
A developer’s journey from naive hashing to consistent hashing with virtual nodes.