consistent hashing
You can subscribe to the system design newsletter to excel in system design interviews and software architecture. You can view the original article Consistent hashing explained on systemdesign.one website. How does consistent hashing work? At a high level, consistent hashing performs the following operations: 1. The output of the
consistent hashing
This is a guest post by Srushtika Neelakantam, Developer Advovate for Ably Realtime, a realtime data delivery platform. You can view the original article—How to implement consistent hashing efficiently—on Ably's blog. Ably’s realtime platform is distributed across more than 14 physical data centres and 100s
Java
IBM WebSphere eXtreme Scale is IBMs in memory data grid product (IMDG). It can be used as a key-value store which partitions the keys (using a form of consistent hashing) over a set of servers such that each server is responsible for a subset of the keys. It automatically handles
Python
Ringo is an experimental, distributed, replicating key-value store based on consistent hashing and immutable data. Unlike many general-purpose databases, Ringo is designed for a specific use case: For archiving small (less than 4KB) or medium-size data items (<100MB) in real-time so that the data can survive K - 1
Paper
Consistent hashing is one of those ideas that really puts the science in computer science and reminds us why all those really smart people spend years slaving over algorithms. Consistent hashing is "a scheme that provides hash table functionality in a way that the addition or removal of one