To minimize the storage costs, aim to always purge unnecessary data. For a three year term, reserved capacity provides a 76% discount, and for a one year term, reserved capacity provides a 53% discount when compared to provisioned throughput capacity. When using provisioned capacity mode and your capacity is bigger than 100 units, you can also consider purchasing reserved capacity. Conclusion: if your workload has steady utilization without sudden spikes, consider going with provisioned mode with autoscaling enabled. Use on-demand mode wiselyĪs Yan Cui demonstrated in his blog post, "rough estimate suggests that on-demand tables are around 5–6 times more expensive per request compared to a provisioned table". Reducing the amount of data available in GSIs by using Attribute Projection `KEYS_ONLY` or `INCLUDES` instead of `ALL` will reduce the amount of data kept in GSI significantly thereby lowering not only the costs storage but also consume less read/write units when accessing or updating the data. Sometimes, when accessing the data using GSIs, not all attributes are needed. When using GSIs, think about Attribute ProjectionsĪttribute Projections specify which attributes are available when querying for data using Global Secondary Index. Strongly consistent reads require a double amount of Read request/capacity units than the eventually consistent reads. However, DynamoDB supports strongly consistent reads too, but with an additional cost. It means that updates are propagated across all storage locations, usually within one second or less. Avoid strongly consistent reads and transactions where possibleĭynamoDB uses eventually consistent data model. The difference here is that while in Query, you are charged only for items which are returned, in scan case, you're being charged for all the rows scanned, not the total amount of items returned. While the query is using partition and sort key to get the desired piece of data fast and directly, the scan, on the other hand, is "scanning" through your whole table. Prefer queries over scansĭynamoDB has two ways of fetching a set of records from it: Query and Scan.
If that's not an option, consider using compression algorithms like gzip to make blobs smaller before saving them. It's very inefficient, and you should rather store all images or linked assets in S3 and save the URL pointing to it in DDB. Saving images in DynamoDB can quickly skyrocket costs. It also makes your items compatible with DynamoDB's TTL feature.
Local dynamodb console iso#
Moreover, when storing dates, you can choose the epoch time format instead of ISO dates because it's shorter too.
This helps you reduce the amount of storage required for your data.
If making attribute values is not an option, try making attribute names shorter. Use shorter attribute namesīecause DynamoDB in both On-Demand and Provisioned capacity mode uses size-dependent billing units (1 WCU/WRU = 1KB, 1 RCU/RRU = 4KB), plus, you're paying for storage too, you should always aim to make your records as small as possible. The cheapest regions are us-east-1, us-east-2 and us-west-2 costing $0.25 per GB/month, $0.00065 per WCU/hour and $0.00013 per RCU/hour. For example, if your table will have 100GB of data, the storage will cost $28.50 per month in Tokyo (ap-northeast-1), $29.72 per month in London (eu-west-2), or even $37.50 per month in Sao Paulo (sa-east-1). If you are not concerned about your data's location because you don't need to meet any regulations or compliance standards, you can provision your tables in regions where it's cheaper. Below are 10 tips that can help you lower your DynamoDB costs: 1. While the tool above can help with forecasting the costs, the pricing optimization techniques are a bit different. DynamoDB Cost Optimization - Best Practicesīecause Amazon DynamoDB is a fully managed database where a user does not provision any machines, the pricing is not as straight forward.
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