Cost optimization by reducing number of S3 PUT requests
I need guidance around S3 storage of DZI format files. The main concern is dealing with the complexity of the DZI format payment model. This format is designed for viewing large images, but it poses a challenge when moving files into S3 buckets. The DZI format is essentially a collection of numerous smaller files, and incur costs for each PUT request on the platform. It is crucial to find a way to leverage these files effectively while minimizing costs. I need guidance on the following: 1.Complexity of DZI Format: Understanding the structure and storage requirements of DZI files, which act more like an archive or a directory rather than a single file. 2.Cost Management: Strategies to handle these files without incurring high costs for PUT requests. 3.Efficiency: Technological solutions to move these files more efficiently, or alternative payment models that could reduce the expenses.
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Do the files have to be uploaded directly to S3, and do you need them there in their original form?
If not, perhaps you could write the files initially in block storage, like an EBS volume (virtual hard drive), or file storage without per-request fees, such as EFS (Amazon Elastic File System) or Amazon FSx. Then, you could bundle an arbitrarily large number of the small files that you're saying make up a DZI bundle in the temporary EBS/EFS/FSx storage into a single zip, 7-Zip, or Zstandard archive file, and upload it as a single object to S3 for persistent storage?
If the files have to be stored as objects in S3 in their original form, meaning as a large number of small objects, there's no way to avoid getting charged for a minimum of one PutObject API call per object to get them there.
Hello,
To manage costs associated with storing DZI format files in Amazon S3 and minimize PUT request charges, consider the following strategies:
1.Batching Small Files: Consolidate numerous small files that make up a DZI bundle into larger archive formats like ZIP, 7-Zip, or Zstandard before uploading to S3. This approach reduces the number of individual PUT requests, thereby lowering costs associated with S3's per-request charges.
2.Use of Alternative Storage Solutions: Consider utilizing Amazon Elastic File System (EFS) or Amazon FSx for Windows File Server for temporary storage. These options do not impose per-request charges like S3 and can be used to batch process and consolidate DZI files before uploading them to S3 as larger objects.
3.Automation and Optimization: Implement automated scripts or workflows using AWS SDKs or CLI to efficiently manage the bundling and uploading of files to S3. This helps streamline operations and optimize resource utilization.
For detailed information on Amazon S3 pricing and strategies for optimizing storage costs, refer to the Amazon S3 Pricing page.
By adopting these practices, you can effectively reduce costs while leveraging Amazon S3's scalability and durability for storing DZI format files
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