I want my s3 bucket to delete Objects older than 3 months. I am trying this in the s3 management console but I am getting confused about the option to select. I tried all these options but non of them deleted the objects.
1. Expire current versions of objects.
2. Permanently delete noncurrent versions of objects.
3. Delete expired objects delete markers or incomplete multipart
uploads.
I have read many Articles but non of them helps.
Thanks
You can setup S3 Object LifeCycle Rule from AWS Console. You can read more detail from here: Setting lifecycle configuration on a bucket - Amazon Simple Storage Service
Related
I been asked in interview How to delete S3 files in a object every 10 min after creation without CLI or script?
Any service or option present in AWS to does such job ?
You can use AWS S3 lifecycle configuration to delete the objects without the use of CLI or script
More details here
Following is the extract from that page
To manage your objects so that they are stored cost effectively
throughout their lifecycle, configure their lifecycle. A lifecycle
configuration is a set of rules that define actions that Amazon S3
applies to a group of objects. There are two types of actions:
Transition actions—Define when objects transition to another storage class. For example, you might choose to transition
objects to the STANDARD_IA storage class 30 days after you created
them, or archive objects to the GLACIER storage class one year after
creating them.
Expiration actions—Define when objects expire. Amazon S3 deletes expired objects on your behalf
I have recently joined a company that uses S3 Buckets for various different projects within AWS. I want to identify and potentially delete S3 Objects that are not being accessed (read and write), in an effort to reduce the cost of S3 in my AWS account.
I read this, which helped me to some extent.
Is there a way to find out which objects are being accessed and which are not?
There is no native way of doing this at the moment, so all the options are workarounds depending on your usecase.
You have a few options:
Tag each S3 Object (e.g. 2018-10-24). First turn on Object Level Logging for your S3 bucket. Set up CloudWatch Events for CloudTrail. The Tag could then be updated by a Lambda Function which runs on a CloudWatch Event, which is fired on a Get event. Then create a function that runs on a Scheduled CloudWatch Event to delete all objects with a date tag prior to today.
Query CloudTrail logs on, write a custom function to query the last access times from Object Level CloudTrail Logs. This could be done with Athena, or a direct query to S3.
Create a Separate Index, in something like DynamoDB, which you update in your application on read activities.
Use a Lifecycle Policy on the S3 Bucket / key prefix to archive or delete the objects after x days. This is based on upload time rather than last access time, so you could copy the object to itself to reset the timestamp and start the clock again.
No objects in Amazon S3 are required by other AWS services, but you might have configured services to use the files.
For example, you might be serving content through Amazon CloudFront, providing templates for AWS CloudFormation or transcoding videos that are stored in Amazon S3.
If you didn't create the files and you aren't knowingly using the files, can you probably delete them. But you would be the only person who would know whether they are necessary.
There is recent AWS blog post which I found very interesting and cost optimized approach to solve this problem.
Here is the description from AWS blog:
The S3 server access logs capture S3 object requests. These are generated and stored in the target S3 bucket.
An S3 inventory report is generated for the source bucket daily. It is written to the S3 inventory target bucket.
An Amazon EventBridge rule is configured that will initiate an AWS Lambda function once a day, or as desired.
The Lambda function initiates an S3 Batch Operation job to tag objects in the source bucket. These must be expired using the following logic:
Capture the number of days (x) configuration from the S3 Lifecycle configuration.
Run an Amazon Athena query that will get the list of objects from the S3 inventory report and server access logs. Create a delta list with objects that were created earlier than 'x' days, but not accessed during that time.
Write a manifest file with the list of these objects to an S3 bucket.
Create an S3 Batch operation job that will tag all objects in the manifest file with a tag of "delete=True".
The Lifecycle rule on the source S3 bucket will expire all objects that were created prior to 'x' days. They will have the tag given via the S3 batch operation of "delete=True".
Expiring Amazon S3 Objects Based on Last Accessed Date to Decrease Costs
I set expiration dates on objects through the API. It's now May and many of these objects expired in March. All the docs say expired objects will be wiped on a daily basis but I think something is wrong.
The Expires metadata field is used to control caching of objects in browsers and CDNs. It is not related to actually deleting objects from Amazon S3.
If you wish to automatically delete objects from Amazon S3 after a certain period of time, you should crate a Lifecycle Rule.
See: Object Lifecycle Management - Amazon Simple Storage Service
Unfortunately, this morning I accidentally deleted a number of images from my S3 account, and I need to restore them. I have read about versioning, however this was not enabled on the bucket at the time of deletion (I have now enabled).
Is there any way of restoring these files either manually, or via Amazon directly?
Thanks,
Pete
Unfortunately, I don't think you can. Here is what AWS says in their docs -
To be able to undelete a deleted object, you must have had versioning
enabled on the bucket that contains the object before the object was
deleted.
I have created a lifecycle policy for one of my buckets as below:
Name and scope
Name MoveToGlacierAndDeleteAfterSixMonths
Scope Whole bucket
Transitions
For previous versions of objects Transition to Amazon Glacier after 1 days
Expiration Permanently delete after 360 days
Clean up incomplete multipart uploads after 7 days
I would like to get answer for the following questions:
When would the data be deleted from s3 as per this policy ?
Do i have to do anything on the glacier end inorder to move my s3 bucket to glacier ?
My s3 bucket is 6 years old and all the versions of the bucket are even older. But i am not able to see any data in the glacier console though my transition policy is set to move to glacier after 1 day from the creation of the data. Please explain this behavior.
Does this policy affect only new files which will be added to the bucket post lifepolicy creation or does this affect all the files in s3 bucket ?
Please answer these questions.
When would the data be deleted from s3 as per this policy ?
Never, for current versions. A lifecycle policy to transition objects to Glacier doesn't delete the data from S3 -- it migrates it out of S3 primary storage and over into Glacier storage -- but it technically remains an S3 object.
Think of it as S3 having its own Glacier account and storing data in that separate account on your behalf. You will not see these objects in the Glacier console -- they will remain in the S3 console, but if you examine an object that has transitioned, is storage class will change from whatever it was, e.g. STANDARD and will instead say GLACIER.
Do i have to do anything on the glacier end inorder to move my s3 bucket to glacier ?
No, you don't. As mentioned above, it isn't "your" Glacier account that will store the objects. On your AWS bill, the charges will appear under S3, but labeled as Glacier, and the price will be the same as the published pricing for Glacier.
My s3 bucket is 6 years old and all the versions of the bucket are even older. But i am not able to see any data in the glacier console though my transition policy is set to move to glacier after 1 day from the creation of the data. Please explain this behavior.
Two parts: first, check the object storage class displayed in the console or with aws s3api list-objects --output=text. See if you don't see some GLACIER-class objects. Second, it's a background process. It won't happen immediately but you should see things changing within 24 to 48 hours of creating the policy. If you have logging enabled on your bucket, I believe the transition events will also be logged.
Does this policy affect only new files which will be added to the bucket post lifepolicy creation or does this affect all the files in s3 bucket ?
This affects all objects in the bucket.