Every article tagged Distributed Systems, in one place.
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When several app instances run the same scheduled job, you often want exactly one of them to do the work. A Redis lock is a simple way to coordinate. Acquire with SET NX PX import { randomUUID } from 'node:crypto'; async function acquireLock(name, ttlMs) { con...
Short answer: in a distributed system, when a network partition happens (nodes can't talk to each other), you must choose between consistency (every read sees the latest write, or gets an error) and availability (every request gets a non-error response, possib...
Short answer: consistent hashing distributes keys across servers so that adding or removing a server moves only a small fraction of keys, instead of almost all of them. The problem with modulo server = hash(key) % N N = 4 -> 5 servers: about 80% of keys now ma...
