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Lifecycle Policies in S3 bucket

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In this blog you will learn about Lifecycle Policies in S3 bucket—a strategic approach to automating data management, cost optimization, and regulatory compliance within your S3 buckets.

What is Lifecycle Policies?

  • S3 Lifecycle Policies enable you to automatically manage the lifecycle of objects stored in S3 buckets.
  • With lifecycle policies, you can define actions to be taken on objects based on their age or other criteria.

How it works:

  • You define rules within a lifecycle policy that specify conditions for transitioning or expiring objects.
  • These rules can be based on factors like object age, object size, or object tags.

Actions:

  • Move current versions of objects between storage classes
  • Move noncurrent versions of objects between storage classes
  • Expire current versions of objects
  • Permanently delete noncurrent versions of objects
  • Delete expired object delete markers or incomplete multipart uploads

Benefits:

  • Cost Optimization: Automatically move objects to lower-cost storage classes as they age or delete them when they’re no longer needed.
  • Compliance: Enforce data retention policies by automatically deleting or archiving objects based on predefined criteria.
  • Storage Management: Keep your S3 bucket organized and avoid unnecessary clutter by automatically managing object lifecycles.

Usage

  • Lifecycle policies are applied at the bucket level.
  • You can define multiple rules within a lifecycle policy to manage different types of objects.
  • Rules can be added, modified, or deleted as needed to adapt to changing requirements.

Example Rules:

1. Move current versions of objects between storage classes:

  • Rule: Transition objects to Standard-IA storage class after 30 days of creation.
  • Explanation: This rule moves objects to the Infrequent Access storage class after a certain period, optimizing storage costs for objects that are accessed infrequently but may still need to be readily available.

2. Move noncurrent versions of objects between storage classes:

  • Rule: Transition noncurrent versions to Glacier storage class after 90 days of creation.
  • Explanation: This rule moves noncurrent (previous) versions of objects to the Glacier storage class after a specified duration, reducing storage costs for older versions of objects that are accessed less frequently.

3. Expire current versions of objects:

  • Rule: Expire current versions after 365 days of creation.
  • Explanation: This rule sets an expiration policy for current versions of objects, automatically deleting them after a year. This can be useful for managing data retention policies and ensuring that outdated data is removed from storage.

4. Permanently delete noncurrent versions of objects:

  • Rule: Permanently delete noncurrent versions after 180 days of creation.
  • Explanation: This rule permanently deletes noncurrent (previous) versions of objects after a specified period, helping to maintain storage efficiency and prevent unnecessary retention of outdated versions.

5. Delete expired object delete markers or incomplete multipart uploads:

  • Rule: Delete expired object delete markers and incomplete multipart uploads after 7 days.
  • Explanation: This rule ensures that expired object delete markers and incomplete multipart uploads are promptly removed from the bucket, preventing unnecessary clutter and optimizing storage space.

Steps to perform Lifecycle Policies in S3 bucket

First of all you have to login through AWS Management console

Next you have to create a bucket named as “bucketwithversion“.

Next you have to go to the Management section, and click on Create Lifecycle rule.

Here you will give your lifecycle rule name and select the first two action.

After that do the below configuration

  • After 30 days of object creation move it to standard IA storage classes
  • After 50 or 60 days of object creation move it to Glacier Instant Retrieval storage classes.

And then click on Create rule.

Now you have successfully created the lifecycle configuration.

Conclusion

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