Storage classes–Regional, multi-regional, nearline, and coldline

Buckets are units of data storage in cloud storage. In terms of underlying storage, they can be considered as repositories linked to your project in Google's managed data centers. Buckets are mainly divided into four classes based on their availability, demographic relevance, and frequency of access:

Storage Class	Remember As	Use Case
Multi-regional	Hot and available	Globally accessed static content
Regional	Hot and local	Input into Dataproc or compute processing
Nearline	Cool, not cold	Backups (access ~ once a month)
Coldline	Cold and rich	DR (access ~ once a year)

• Hot and available - Multi-Regional: These buckets can be accessed from any region across the world, making them highly available. 

They are also Geo-Redundant, which means that data coming from any region will be stored in two separate copies at least 100 miles away (that is, in two distant data centers) to avoid data loss if any one center goes down. This is the most expensive...