Some common use cases for Google Cloud Storage (GCS) buckets
- Keeping and delivering content for static websites.
- Data archiving and backup.
- Archiving video and image material created by users.
- Analyzing large datasets with BigQuery or other data processing services.
- Integrating with other GCP services like Cloud Functions, Cloud Run, or AI Platform.
- Sharing files and collaborating across teams or organizations.
- Storing media assets for apps or streaming services.
- Storing logs and telemetry data for monitoring and analysis.
- Implementing disaster recovery and business continuity strategies.
- Utilizing object storage to create apps that are robust and scalable.
How To Create GCP Bucket Using CLI ?
Users can store and manage their data in the cloud with Google Cloud Storage (GCS), the service is provided by the Google Cloud Platform (GCP). Having the big virtual hard drive to store files, documents, photos, movies, and other media is similar to that.
Within Google Cloud Storage, a bucket refers to a folder or container where you can group and store your data. The bucket can store a lot of data and has a special name. Using buckets, you may manage file access and storage. They also offer features like versioning, lifecycle management, and access control to help you manage your data efficiently.