I have an S3 lifecycle rule like this:
But this rule doesn't move any old or newly created objects into "glacier instant retrieval".
I've heard that it takes a few days for a S3 lifecycle rule to trigger. But I've waiting for about 2 weeks.
Why are my files in the bucket still in "Standard" storage class?
Is there anything else that I should configure?
Per the S3 Lifecycle documentation, lifecycle on Glacier Instant Retrieval only supports objects larger than 128 KB.
It should be possible to copy the objects manually to that tier if you desire but they will be billed at a minimum of 128KB per object, so for your small object sizes that may be a much larger cost
Related
I have 50TB of data in an S3 Standard bucket.
I want to transition objects that are greater than 100MB & older than 30 days to AWS Glacier using an S3 Lifecycle Policy.
How can I only transition objects that are greater than 100MB in size?
There is no way to transition items based on file size.
As the name suggests, S3 Lifecycle policies allow you to specify transition actions based on object lifetime - not file size - to move items from the S3 Standard storage class to S3 Glacier.
Now, a really inefficient & costly way that may be suggested would be to schedule a Lambda to check the S3 bucket daily, see if anything is 30 days old & then "move" items to Glacier.
However, the Glacier API does not allow you to move items from S3 Standard to Glacier unless it is through a lifecycle policy.
This means you will need to download the S3 object and then re-upload the item again to Glacier.
I would still advise having a Lambda running daily to check the file size of items, however, create another folder (key) called archive for example. If there are any items older than 30 days & greater than 100MB, copy the item from the current folder to the archive folder and then delete the original item.
Set a 0-day life-cycle policy, filtered on the prefix of the other folder (archive), which then transitions the items to Glacier ASAP.
This way, you will be able to transfer items larger than 100MB after 30 days, without paying higher per-request charges associated with uploading items to Glacier, which may even cost you more than the savings you were aiming for in the first place.
To later transition the object(s) back from Glacier to S3 Standard, use the RestoreObject API (or SDK equivalent) to restore it back into the original folder. Then finally, delete the object from Glacier using a DELETE request to the archive URL.
create a lambda that runs every day (cron job) that checks for files older than 30 days and greater then 100mb in the bucket. You can use the s3 api and glacier api.
In the "Lifecycle rule configuration" there is (from Nov 23, 2021 - see References 1.) a "Object size" form field on which you can specify both the minimum and the maximum object size.
For the sake of completeness, by default Amazon S3 does not transition objects that are smaller than 128 KB for the following transitions:
From the S3 Standard or S3 Standard-IA storage classes to S3 Intelligent-Tiering or S3 Glacier Instant Retrieval.
From the S3 Standard storage class to S3 Standard-IA or S3 One Zone-IA
References:
https://aws.amazon.com/about-aws/whats-new/2021/11/amazon-s3-lifecycle-storage-cost-savings/
https://docs.aws.amazon.com/AmazonS3/latest/userguide/lifecycle-transition-general-considerations.html
I have created a s3 life cycle policy which will Expire the current version of the object in 540 days.
I am a bit confused here, whether it deletes the objects from s3 or glacier,
if not I want to delete the objects from a bucket in 540 days and the glacier in some 4 years! how will I set it up?
Expiring an object means "delete it", regardless of its storage class.
So, if it has moved to a Glacier storage class, it will still be deleted.
When you store data in Glacier via S3, then the object is managed by Amazon S3 (but stored in Glacier). Thus, the lifecycle rules apply.
If, however, you store data directly in Amazon Glacier (without going via Amazon S3), then the data would not be impacted by the lifecycle rules, nor would it be visible in Amazon S3.
Bottom line: Set your rules for deletion based upon the importance of the data, not its current storage class.
I have an S3 bucket on which I activated a Lifecycle Policy that transitions objects to Glacier class storage after 14 days.
I desire to disable this policy.
Is it safe to assume that disabling/deleting the Lifecycle Policy will not alter/affect the already transitioned objects in any way?
This links specifies what happens to transition scheduling, in the event of Policy deletion.
https://docs.aws.amazon.com/AmazonS3/latest/dev/how-to-set-lifecycle-configuration-intro.html
Although it would seem evident, I didn't find it to imply about already transitioned objects remaining untouched.
My concern with this is critical due to AWS:Glacier having extreme costs for retrieval over 5% of total Glacier usage, but also for deleting files prior to 90 days.
The lifecycle policy works on the bucket itself. When you delete it/disable it, it stops performing the defined actions.
It will NOT perform actions to reverse anything. This includes glacier, deleted files, moved files, etc.
Ok so I have a slight problem I have had a back up program running on a NAS to an Amazon S3 bucket and have had versioning turned enabled on the bucket. The NAS stores around 900GB of data.
I've had this running for a number of months now, and have been watching the bill go up and up for the cost of Amazons Glacier service (which my versioning lifecycle rules stored objects in). The cost has eventually got so high that I have had to suspend Versioning on the bucket in an effort to stop any more costs.
I now have a large number of versions on all our objects screenshot example of one file:
I have two questions:
I'm currently looking for a way to delete this large number of versioned files, from Amazons own documentation it would appear I have to delete each version individually is this correct? If so what is the best way to achieve this? I assume it would be some kind of script which would have to list each item in a bucket and issue a DELETEVERSION to each versioned object? This would be a lot of requests and I guess that leads onto my next question.
What are the cost implications of deleting a large amount of Glacier objects in this way? It seems cost of deletion of objects in Glacier is expensive, does this also apply to versions created in S3?
Happy to provide more details if needed,
Thanks
Deletions from S3 are free, even if S3 has migrated the object to glacier, unless the object has been in glacier for less than 3 months, because glacier is intended for long-term storage. In that case, only, you're billed for the amount of time left (e.g., for an object stored for only 2 months, you will be billed an early deletion charge equal to 1 more month).
You will still have to identify and specify the versions to delete, but S3 accepts up to 1000 objects or versions (max 1k entites) in a single multi-delete request.
http://docs.aws.amazon.com/AmazonS3/latest/API/multiobjectdeleteapi.html
Is there a way to set an expiry date in Amazon Glacier? I want to copy in weekly backup files, but I dont want to hang on to more than 1 years worth.
Can the files be set to "expire" after one year, or is this something I will have to do manually?
While not available natively within Amazon Glacier, AWS has recently enabled Archiving Amazon S3 Data to Amazon Glacier, which makes working with Glacier much easier in the first place already:
[...] Amazon S3 was designed for rapid retrieval. Glacier, in
contrast, trades off retrieval time for cost, providing storage for as
little at $0.01 per Gigabyte per month while retrieving data within
three to five hours.
How would you like to have the best of both worlds? How about rapid
retrieval of fresh data stored in S3, with automatic, policy-driven
archiving to lower cost Glacier storage as your data ages, along with
easy, API-driven or console-powered retrieval? [emphasis mine]
[...] You can now use Amazon Glacier as a storage option for Amazon S3.
This is enabled by facilitating Amazon S3 Object Lifecycle Management, which not only drives the mentioned Object Archival (Transition Objects to the Glacier Storage Class) but also includes optional Object Expiration, which allows you to achieve what you want as outlined in section Before You Decide to Expire Objects within Lifecycle Configuration Rules:
The Expiration action deletes objects
You might have objects in Amazon S3 or archived to Amazon Glacier. No
matter where these objects are, Amazon S3 will delete them. You will
no longer be able to access these objects. [emphasis mine]
So at the small price of having your objects stored in S3 for a short time (which actually eases working with Glacier a lot due to removing the need to manage archives/inventories) you gain the benefit of optional automatic expiration.
You can do this in the AWS Command Line Interface.
http://docs.aws.amazon.com/AmazonS3/latest/dev/object-lifecycle-mgmt.html