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.
A simple, scalable way to suppress duplicate events and requests without heavy comparisons or global coordination.
Hash maps aren’t fast because of magic or randomness — they’re fast because hashing is deterministic. Learn why this property powers O(1) lookups, Bloom filters, and consistent hashing.
A developer’s journey from naive hashing to consistent hashing with virtual nodes.