Node.js, MongoDB, and AngularJS Web Development

Implementing Sharding

A serious problem that many large-scale applications encounter is that the data stored in the MongoDB is so enormous that it severely impacts performance. When a single collection of data becomes too large, indexing can cause a severe performance hit, the amount of data on disk can cause a system performance hit, and the number of requests from clients can quickly overwhelm the server. The application will get increasingly slower at reading from and writing to the database.

MongoDB solves this problem through sharding. Sharding is the process of storing documents across multiple MongoDB servers running on different machines. This allows the MongoDB database to scale horizontally. The more MongoDB servers you add, the larger ...