Bigness
Massive write performance
Fast key-value access
Flexible schema and flexible datatypes
Schema migration
Write availability
Easier maintainability, administration and operations
No single point of failure
Generally available parallel computing
Programmer ease of use
Use the right data model for the right problem
Avoid hitting the wall
Distributed systems support
Tunable CAP tradeoffs
Group items matching
in title, tags, annotations or urlPiCloud - 1 views
zsh - Documentation Ubuntu Francophone - 0 views
Les connected stores de NewYork misent sur le multicanal #ecommerce - 0 views
Les achats sur mobile s'installent dans les habitudes des Français, Actualités - 0 views
Auchan teste les courses sur abonnement - Lineaires - 0 views
The Big List of NoSQL Use Cases - 0 views
Jeff Bezos (Amazon) : « Si vous vous contentez de votre coeur de métier, vous êtes en danger », Actualités - 2 views
-
L'excellence consiste à s'assurer que ces services seront facilement accessibles et avec un minimum de défauts, que le système sera opérationnellement et statistiquement proche de la perfection.
Why Rubyists Should Care About Messaging (A High Level Intro) - 1 views
-
There are many reasons for using messaging in your applications. It can help you: improve response times by doing some tasks asynchronously reduce complexity by decoupling and isolating applications build smaller apps that are easier to develop, debug, test, and scale build multiple apps that each use the most suitable language or framework versus one big monolithic app get robustness and reliability through message queue persistence potentially get zero-downtime redeploys distribute tasks across machines based on load
1 - 9 of 9
Showing 20▼ items per page