Amazon Simple Storage Service (S3) is one of the most widely used AWS services, after AWS EC2. It is used for a wide range of use cases such as static websites, blogs, personal media storage, BigData analytics, staging area for Redshift data, and enterprise backup storage. Many AWS administrators tend to overlook S3 for cost management because of this aspect. For every enterprise looking to optimize AWS costs, analyzing and formulating an effective AWS S3 cost management strategy is important. More so, understanding data lifecycle of the applications hosted is the key step towards implementing a good AWS S3 cost management strategy.
Making the most of AWS S3 cost:
With AWS, you pay for the services you use and the storage units you’ve consumed. If AWS S3 service is a significant component of your AWS cost, then implementing AWS S3 management best practices is the way forward.
To this end, we’ve collated a few basic checks to get the AWS S3 cost management right as S3 usage grows:
1. Store your data in a compressed format:
While there is no charge for transferring data into an S3 bucket, there is a charge involved for data storage and requests like PUT, GET, LIST etc. To avoid a cost hike, it is essential to store your data in a compressed format.
2. Evenly distribute S3 objects:
If the S3 objects are distributed evenly into a virtual folder structure, the number of file operations needed to read these files will be less. This will lead to less spend as there is an additional cost for LIST and GET operations.
3. Leverage S3 for hosting static websites:
This helps in avoiding EC2 costs and administrative overheads. S3 can scale up to millions of users without any manual intervention.
4. Appropriately tag buckets:
It is important to tag buckets appropriately so that misuse of provisioned S3 resources will come to limelight and help in curtailing data compromise.
5. Monitor S3:
The S3 objects access patterns should be monitored and moved to appropriate storage classes. As different storage classes are priced differently, storing objects in the appropriate class can help reduce costs.
6. Enable “Lifecycle” feature:
With this feature you can delete objects that are no longer required as well as delete older versions, if versioning is enabled on those buckets. With Lifecycle Management, you can define time-based rules that can trigger ‘Transition’(moving objects to different storage class) and ‘Expiration’ (permanent deletion of objects). This ensures limiting your S3 costs by reducing S3 storage.
7. Use Compressible Formats
When using S3 for BigData analytics, and staging Redshift data, try to use compressible formats like AVRON, PARQUET, ORC as S3 charges for the amount of storage consumed.
Once you follow all the above hacks, start observing the bills, and don’t forget to follow other key best practices as well.
Finally, AWS provides a simple configuration mechanism to specify the rules of data lifecycle and moving objects across storage types. Therefore, take data lifecycle into account when it comes to AWS S3 cost management.
Intelligent cloud management platforms like Botmetric can assist in effectively monitoring and managing AWS S3 spend.
It can help you manage your AWS storage resource management and help keep them at optimal pricing levels at all times.