AWS released Amazon Aurora I/O-Optimized this week. This version eliminates all database I/O charges, lowering database expenses for huge workloads and increasing cloud database bill predictability.
The new Aurora configuration only charges users for database instances and storage consumption, not I/O activities. “Customers can now confidently predict costs for their most I/O-intensive workloads, regardless of I/O variability, helping them accelerate their decision to migrate more of their database workloads to AWS,” the business stated.
Of course, customers should migrate additional workloads. This offering may appeal to cost-conscious CIOs as more organizations move to the cloud.
According to Corey Quinn, chief cloud economist at The Duckbill Group, a consulting firm that helps AWS customers cut their bills, it is more expensive than the conventional Aurora database. It’s alternative pricing. “They charge more for this model as a baseline rate so it’s going to come down to the specifics of a given workload as to whether it’s a good idea to use it,” Quinn told TechCrunch.
AWS’s Channy Yun said it depends on the workload in a blog post announcing the latest edition. You can now clearly forecast prices for your most I/O-intensive workloads, saving up to 40% when your I/O spends 25% of your Aurora database budget. He wrote, “Reserved Instances will save you even more.” As Quinn notes, your workload requirements will be the devil.
Constellation Research founder and chief analyst Ray Wang said customers with large workloads benefit. “You incur an I/O charge every time you read data that’s not cached and write data back to your mySQL or Postgres data,” he explained. “This is designed to drop your pricing because they have found a more efficient way internally to handle this, and they’ve passed on the cost savings to customers as we enter an AI age.”
This can benefit AI and seasonal e-commerce customers with data-intensive workloads. Based on predicted workloads, customers can bring new workloads or switch between the conventional Aurora database and the I/O optimized version via the management panel to manage expenses.
