Some practices and recommendations that may be useful:

1. Cloud Storage and Cloud Storage Nearline:
Use Google Cloud Storage to store essential data. Nearline offers a low-cost storage option for data that is accessed less frequently but needs quick retrieval.

2. Snapshots and Automatic Backup:
Take advantage of snapshots to create incremental backups of persistent disks and virtual machines. Set up automatic backups to ensure data is protected regularly.

3. Cloud SQL Automated Backups:
If you are using Cloud SQL, enable automatic backups. This ensures that you have restore points for your SQL databases on an automated and regular basis.

4. Cloud Spanner:
For highly consistent, distributed databases, Cloud Spanner offers automatic backups and point-in-time recovery.

5. Data Export and Import:
Use Google Cloud tools to export important data to Cloud Storage or your on-premises environment as an additional backup method.

6. Data Retention Policies:
Set clear data retention policies to ensure you comply with legal and regulatory requirements and minimize the risk of excessive retention.

7. Disaster Recovery Testing:
Perform regular disaster recovery testing to verify the effectiveness of your backup and recovery strategies. This helps identify potential failures and ensure you can restore data when necessary.

8. Monitoring and Alerts:
Set up monitoring and alerts for events related to data integrity, storage usage, and backup status to take preventative action before major issues occur.

These are just some initial guidelines to start a deeper discussion about data backup and disaster recovery on Google Cloud. Sharing experiences and best practices in this area is fundamental to strengthening the community and ensuring that we can all continually improve our cloud infrastructures.

I hope this information is useful! I am available to discuss further details or answer specific questions you may have.