The Good Tech Companies - 4 DynamoDB Configuration Changes for Significant Cost Savings

Episode Date: May 22, 2026

This story was originally published on HackerNoon at: https://hackernoon.com/4-dynamodb-configuration-changes-for-significant-cost-savings. Learn four high-impact DynamoDB optimizations that can cut AWS costs by up to 80% without migrations or major code changes. Check more stories related to cloud at: https://hackernoon.com/c/cloud. You can also check exclusive content about #dynamodb-reserved-capacity, #dynamodb-on-demand-pricing, #dynamodb-cost-optimization, #dynamodb-dax-cost-reduction, #scylladb-cost-calculator, #dynamodb-read-write-cost, #aws-dynamodb-optimization, #good-company, and more. This story was written by: @scylladb. Learn more about this writer by checking @scylladb's about page, and for more stories, please visit hackernoon.com. Most DynamoDB teams are overspending because they rely on default configurations. This guide breaks down four low-effort optimizations that can reduce costs by 50–80%: switching from on-demand to reserved capacity, shrinking item sizes, deploying DAX for read-heavy workloads, and using the Infrequent Access table class for cold data. No migration or major architecture changes required.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. 4 DynamoDB configuration changes for significant cost savings by Skyladyby. Learn about ways to cut DynamoDB costs with minimal code changes, zero migration, and no architectural upheaval if you're running DynamoDB at scale, your bill might be tens of thousands of dollars higher than it needs to be. However, most teams don't need a complete emigration or architecture overhaul to save significantly. These configuration changes, all easily implemented, can reduce your costs by 50 to 80%. This guide covers the biggest wins for DynamoDB cost optimization, with the real math behind each recommendation.

We will be sharing links to the Skylidib cost calculator at calculator. SkyloDB com, which lets you model different workload scenarios with customized parameters and compare SkyladyB pricing to DynamoDB pricing at the click of a button. Switch from on-demand to provision plus resurgence. reserved capacity. This is the single biggest dynamo Dib cost lever for most teams. On-demand capacity is convenient at first, with no planning required and just pay as you go. But it's also expensive. After a W.S.'s recent price reduction, on-demand costs 7.5x more than provisioned capacity. Before the drop, it was roughly 15x. Either way, the math is brutal. Let's look at a simple

example. A mid-sized workload running 10,000 reads, second 10,000 writes, SEC, 24-7. On-demand, Tilda $239,000 per year provisioned, Tilda $71,000 per year reserved, Tilda $34,000 per year year that's a 7x difference between on-demand and reserved. Even if your workload isn't perfectly predictable, reserved capacity often pays for itself within months. The trade-off here is that you need a predictable load and the financial flexibility to commit. If your traffic varies wildly, or your short-term focused provisioned mode without reservation is the middle ground. Still, it's 3.3x cheaper than on-demand. Optimize item sizes. Dynamody B's billing is granular. Rights are charged per 1 kilobyte of item size, and dreds per 4 kilobytes. This means a 1.

1-kilobite item costs the same as a 2 kilobytes item on rights. If your items are consistently over these thresholds by a small margin, you're paying two to three X more than necessary. Let's look at the same simple example, but with increasing item size for comparison. On demand with one kilobyte items, tilde $239,000 per year in demand with 10 kilobytes items, till to $2 million per year in demand with 100 kilobytes items, till to $20 million per year common culprits for higher DynamoDB costs here. Nesta JSON with white space or redundant fields. Variable length strings with no trimming. Metadata or audit fields added to every item.

Base 64 encoded payloads. What should you do? Compress JSON payloads before storage, remove redundant attributes, move infrequently accessed data to a separate table, or use a columnar storage strategy. Trimming just 200 bytes per item across millions of items and thousands of rights, seg adds up to thousands per month. Deploy DACS, DynamoDB Accelerator for read heavy workloads. If your workload skews heavily toward reeds and you're not using an in-memory cache layer yet, DAX is one of the highest ROI moves you can make. Dax sits in front of DynamoDB and cache is frequently accessed items in memory. Cash hits bypass DynamoDB entirely, meaning you avoid the RCU charge. For hot items queried thousands of times per minute, a single Dax

cluster can reduce DynamoDB read capacity needs. Let's look at another simple example. A reed heavy workload running 80,000 reeds, SEC and 1,000 writes, SEC 24-7. On demand, Tilda, $335,000 per year in demand with DAX, TILA $158,000 per year the cost math. A medium-sized DAX cluster, three nodes, cash R5G, 8 extra large, costs roughly $9,000 per month. A high hit rate on your cash will proportionally reduce your more expensive reed costs. That can lead to potentially hundreds of thousands of dollars saved with DynamoDB. Bonus. Dax also improves latency dramatically. Cash hits respond in microseconds rather than milliseconds. Use the Dynamody B in frequent access, Ea, table class. Not all tables are created equal. If you have tables where data is accessed rarely

but storage is high, think audit logs, historical records, compliance archives, or cold lookup tables, then the standard EIA table class can save you substantially on storage. The pricing difference. Standard class, $0.25 per gigabyte standard EA class, $0.10 per gigabyte, up to 60% savings. The catch is that EA has a minimum item size of 100 bytes and a minimum billing duration. It's designed for cold data. So, if you're frequently scanning workwearing these tables, EA isn't the right fit. Red costs are identical, but you lose the right discount. However, for True Archive tables accessed only occasionally, it's a no-brainer. The bottom line, these four DynamoDB changes require minimal code changes, zero migration,

and NO architectural upheaval. Their configuration changes, caching tweaks and data optimization. Combined, they typically deliver massive cost reductions. Start with switching to provision plus reserved, highest impact, then layer in the others based on your workload shape. Ready to model your savings? Use the SkylaDB cost calculator at calculator. SkyloDB.com to compare your current DynamoDB costs against these optimizations.

And to save even more, see how SkylaDB compares. Thank you for listening to this Hackernoon story, read by artificial intelligence. Visit hackernoon.com to read, write, learn and publish.