Table of Contents

Introduction

Google Cloud Storage provides a static storage facility for storing and accessing objects on the Google Cloud Platform. An object is any kind of data, whether it is a file, image, video, etc. This system is infinitely scalable and can handle any size of data you produce. Let’s understand the concept in detail.

All the data in Google Cloud Storage is stored in objects and these objects are collectively stored inside a container called a Bucket. Each bucket corresponds to a project, and you can group your projects into organizations. With Google Cloud Storage, you can create as many buckets as you want. There is no limit.

This is what the hierarchy of Google Cloud storage looks like:

Organization

Project

Bucket

Objects

A Storage Bucket is a basic container that holds your data. All data in Google Cloud Storage must be contained in a bucket. Buckets provide a way to organize and control access to your data.

Data inside the bucket is stored at a fixed geographic location which cannot be changed. However, you can move your data to a different bucket located at a different location. Therefore, choose a location that has a maximum number of active users to optimize for speed and latency. 

Key Features of GCP Bucket

  • Global Namespace: Buckets have a unique, global name within GCP Storage. Once a name is chosen, no other project can use that bucket name.
  • Location: Buckets can be created in a specific location (region), multi-region, or dual-region. The choice of location affects the performance, availability, and pricing.
  • Storage Classes: Buckets can be configured with different storage classes to optimize GCP storage for various use cases
  • Object Lifecycle Management: Set up rules to automatically transition objects between storage classes or delete them based on specified conditions
  • Access Control: Identity and Access Management (IAM) provides fine-grained permissions for users, groups, and service accounts. Whereas Access Control Lists (ACLs)  is a legacy method to specify access control at both the bucket and object levels.
  • Object Versioning: Maintain previous versions of objects to protect against accidental deletion or modification.

How to Create Bucket in GCP

To create a new bucket, choose a unique name as it cannot be changed later. After that, choose a location and select a storage class.  A bucket belongs to a project under an organization.

Following are the steps to create a bucket: 

  1. Select gcloud Storage Buckets from the Google Cloud console.
  2. Choose Create bucket from the menu.
  3. Enter your bucket information on the Create a bucket page. Click Continue to proceed to the next step.
    1. To Name your bucket, enter a relevant name.google cloud, cloud storage, storage buckets, google cloud storage buckets, cloud storage objects, objects, bucket storage gcp, gcp storage,
    2. Choose a Location, it will be the permanent location of your bucket.google cloud, cloud storage, storage buckets, google cloud storage buckets, cloud storage objects, objects, bucket storage gcp, gcp storage,
    3. Select a storage class for the bucket. By default, all objects uploaded to the bucket are assigned the default storage class.google cloud, cloud storage, storage buckets, google cloud storage buckets, cloud storage objects, objects, bucket storage gcp, gcp storage,
    4. Select whether public access prevention is enforced in your bucket, and then choose the object access control model.google cloud, cloud storage, storage buckets, google cloud storage buckets, cloud storage objects, objects, bucket storage gcp, gcp storage,
    5. Select a Data encryption method, configure Protection tools if desired, and choose how to protect object data.
  4. Click Create.google cloud, cloud storage, storage buckets, google cloud storage buckets, cloud storage objects, objects, bucket storage gcp, gcp storage,

There you go! You have successfully created a Bucket.  

Conclusion

In this article, you’ve learned about Google Cloud storage and how to create a Bucket inside it. A bucket contains objects associated with a project. These objects can be accessed via a number of methods within a Bucket, such as the ACL property. You can create multiple Buckets under the same project. Thus, having a large storage space for files and data.


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