![]() ![]() This article comprehensively compares Wasabi and Amazon S3 in terms of price, storage space, security, and more. Wasabi and Amazon S3 are two of the most popular object storage services today. Because object storage has no archive hierarchy, and metadata is fully customizable, there are far fewer limitations compared to file or block storage. Due to the scale-out nature of object storage, it is cheaper to store all the data. You can retrieve data faster due to object storage's taxonomy structure and lack of folder hierarchy. Object storage is driven by metadata, and with this level of classification for each piece of data, the opportunities for analysis are much greater. Amazon S3 documentation now has a section on Glacier Pricing Considerations that has some good pointers. Longer and you’ll want to do more calculations to find your savings. Into the $0.08 tier or lower, so your break-even point will take ![]() If you are storing more than a TB, then you’re The above formula assumes an S3 storage cost of $0.095 per GB per Files approaching that size are going to save too little money to justify the transfer costs. ![]() Looking closely at the above formula, you can see that any object 13 KB or smaller is going to cost more to transition to Glacier rather than leaving it in S3. Or about 11 months until the savings in Glacier over S3 covers the cost In my case, the average size of the S3 objects was 70,824 bytes (about Saving money when transferring S3 objects to Glacier is:īreak-even months = 631,613 / (average S3 object size in bytes - 13,011) Here’s the formula… The number of months to break even and start If the average size of my dataįiles were larger, then I would start saving money sooner. With other types of buckets, just to make sure that the data is largeĮnough and is going to be sitting around long enough in Glacier to beĪs it turns out, the primary factor in how long it takes to break even So thanks, Amazon! I will, however, think twice before doing this Savings per year after first 11 months: $291 (73%)įor this data’s purpose, everything eventually works out to an advantage, Months until I start saving money by moving to Glacier: 11 One time cost to transition 5.3 million objects from S3 to Glacier: $265 Monthly cost of storing in Glacier: $8.97 This one-time up front cost was going to beĬompensated for slowly by my monthly savings, because Glacier isĬheap, even compared to the reasonably cheap S3 storage costs, at least for Money on the long term by moving objects in these S3 buckets to Break-even PointĪfter stopping to think about it, I realized that I was still saving This makes GlacierĬompletely unsuitable for small objects. Storage for this overhead is charged at standard Glacier and S3 prices. Josh.monet has pointed out in the comments that Amazon has documented some Glacier storage overhead:įor each S3 object migrated to Glacier, Amazon adds “an additional 32 KB of Glacier data plus an additional 8 KB of S3 standard storage data”. S3 charges were based on the total GB, not the number of objects.5306220 Overhead per Glacier Object There is one “archive request” for each S3 object that is transitionedįrom S3 to Glacier, and I had over five million objects in theseīuckets, something I didn’t worry about previously because my monthly Objects into S3, which is $0.01 per 1,000 PUT requests. This is five times as expensive as the initial process of putting Glacier Archive and Restore Requests: $0.05 per 1,000 requests Transitioning the objects from S3 to Glacier. It had not occurred to me that there would be much of a charge for The line item on the AWS Activity report showed the source Showed that this increase was due to one time charges, so I wasn’t This is one of my personal accounts, so a rate of several hundredĭollars a day is not sustainable. Monitor on this account letting me know that I had just passed $200įor the month, followed a few hours later by an alert for $300, What I did not expect was an email alert from my AWS billing alarm ![]() Since all of the objects in the buckets were more than 60 days old, IĮxpected them to be transitioned to Glacier within a day, and true toĪmazon’s documentation, this occurred on schedule. Useful S3 tools that include the required functionality.) (Long time readers of this blog may be surprised I didn’t list theĬommand lines to accomplish this task, but Amazon has not yet released ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |