DynamoDB costs often surprise teams due to unpredictable workloads and the limitations of the AWS calculator, leading to unexpected bills in variable traffic scenarios and global spikes.
To address this issue, ScyllaDB developed a new cost analyzer that incorporates real-world scenarios such as burst traffic, demand spikes, and global tables. Designed as a simple client-side tool, this analyzer allows you to explore what-if scenarios and better understand the real cost of DynamoDB, helping you make more informed decisions about capacity and architecture.
The analyzer's practical approach considers unpredictable traffic patterns and cross-region synchronization, factors that the standard AWS calculator does not always model accurately. By simulating spikes, bursts, and global replicas, you get a more reliable cost estimate and identify optimization opportunities that reduce unnecessary expenses.
At Q2BSTUDIO, we are specialists in software development and custom applications, and we support companies in cost audits and cloud architecture optimization. We offer custom software services, custom applications, and artificial intelligence solutions that enable automating consumption analysis, predicting spikes, and defining efficient scaling and savings policies.
Our team of experts in artificial intelligence and cybersecurity integrates best practices in AWS and Azure cloud services and business intelligence services to turn consumption data into real savings. We implement AI solutions for businesses, AI agents, and Power BI dashboards to visualize expenses, alerts, and concrete recommendations that improve return on investment.
If you want to better estimate your DynamoDB costs, evaluate alternatives like ScyllaDB, or optimize your AWS and Azure environment, Q2BSTUDIO can help you with custom analyses, migrations, custom software development, and cybersecurity strategies. Contact us for a technical audit and an optimization proposal that includes custom applications, applied artificial intelligence, and Power BI dashboards to make data-driven decisions.
