solutions-architect-pro video for the engineering team at a data analytics company is currently optimizing a production workload on AWS that is I/O intensive
The engineering team at a data analytics company is currently optimizing a production workload on AWS that is I/O intensive with frequent read/write/update operations and it's currently constrained on the IOPS. This workload consists of a single-tier with 15 r6g.8xlarge instances, each with 3 TB gp2 volume. The number of processing jobs has increased recently, resulting in an increase in latency as well. The team has concluded that they need to increase the IOPS by 3,000 for each of the instances for the application to perform efficiently. As an AWS Certified Solutions Architect Professional, which of the following solutions will you suggest to meet the performance goal in the MOST cost-efficient way?