What is data redundancy in Google Cloud Storage?

What is data redundancy in Google Cloud Storage?

Data redundancy in Google Cloud Storage refers to the practice of storing multiple copies of data across different locations to ensure durability and availability.

Why is data redundancy important?

It's important because it protects against data loss due to hardware failures, accidental deletions, or disasters, ensuring that your data remains accessible.

How does Google Cloud implement data redundancy?

Google Cloud implements data redundancy by automatically replicating data across multiple geographic locations and using various storage classes to optimize for performance and cost.

Can I control how my data is replicated?

Yes, you can choose different storage classes that determine the level of redundancy and availability, such as Standard, Nearline, or Coldline.

What are the costs associated with data redundancy?

Costs vary based on the storage class and the amount of data stored. Generally, higher redundancy options may incur higher costs.