- Newest
- Most votes
- Most comments
Maybe not the fastest, but if I have a bucket with a large amount of objects, I create a lifecycle policy to expire the objects.
To delete an AWS S3 bucket with 500TB of data, the fastest and most cost-effective solution would be to use the S3 Lifecycle configuration.
The S3 Lifecycle configuration can be used to automate the deletion of objects based on their age or version. By setting up a Lifecycle policy to expire objects in the bucket, you can gradually delete the contents of the bucket over time or in specified timeframe.
Here is a step-by-step guide to help you:
- Log in to the AWS Management Console and navigate to the S3 bucket you want to delete.
- Open the "Lifecycle" configuration tab for the bucket.
- Create a new lifecycle policy, and set the expiration rules to delete objects that are over a certain age or version.
- Set the expiration period to a time frame that makes sense for your data, such as 1day, 2day or 7 days.
- Save the policy and apply it to the bucket.
With this policy in place, S3 will automatically delete the objects that meet the expiration criteria, and you can gradually reduce the size of the bucket over time. This is a more cost-effective, less time-consuming and stress-less approach as amazon takes care of running this process rather than manually deleting all of the objects at once as manual processes can break in middle for many reasons.
Note that you may still incur charges for the data storage during the lifecycle policy period, so you may want to ensure that your policy's time frame is optimal, however you will not be charged for using Lifecycle Configuration.
References:
- Setting lifecycle configuration on a bucket - https://docs.aws.amazon.com/AmazonS3/latest/userguide/how-to-set-lifecycle-configuration-intro.html
Note: Please upvote/accept if you like my answer.
Relevant content
- asked 2 months ago
- asked a year ago
- Accepted Answerasked 2 years ago
- AWS OFFICIALUpdated 5 months ago
- AWS OFFICIALUpdated 2 years ago
- AWS OFFICIALUpdated a year ago
- AWS OFFICIALUpdated a year ago