{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Good Tech Companies ","title":"4 DynamoDB Configuration Changes for Significant Cost Savings","html":"","width":"100%","height":180,"duration":366,"description":"\n This story was originally published on HackerNoon at: https://hackernoon.com/4-dynamodb-configuration-changes-for-significant-cost-savings.\n Learn four high-impact DynamoDB optimizations that can cut AWS costs by up to 80% without migrations or major code changes. \n Check more stories related to cloud at: https://hackernoon.com/c/cloud.\n 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.\n \n \n This story was written by: @scylladb. Learn more about this writer by checking @scylladb's about page,\n and for more stories, please visit hackernoon.com.\n \n \n \n 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.\n \n ","thumbnail_url":"https://img.transistorcdn.com/HZ9CRzf5js9DK86xzUVMWBRbXYwg4dA8xVXJGVzpL6Y/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xMTNl/MjgwMmI0ZmEzNThj/YmJiOWNiN2UyZmRm/MzY3My5qcGVn.webp","thumbnail_width":300,"thumbnail_height":300}