A company performed a lift-and-shift migration of an on-premises Oracle database to an Amazon EC2 memory-optimized Linux instance. The instance uses a 1 TB Provisioned IOPS SSD (io1) EBS volume configured for 64,000 IOPS. After migration, database storage performance is slower than on-premises. Which solution improves storage performance?

The correct solution is to add more Provisioned IOPS SSD (io1) EBS volumes and use OS tools to create an LVM stripe across them. While a single io1 volume can support up to 64,000 IOPS, the maximum throughput for a single io1 volume is 1,000 MiB/s. By striping multiple io1 volumes together using LVM, you can aggregate their IOPS and throughput capabilities, effectively exceeding the limits of a single volume and improving overall storage performance. Increasing the IOPS of a single io1 volume beyond 64,000 is not possible as it's the maximum for a single volume. Increasing the volume size to 2 TB would increase the maximum possible IOPS to 100,000 (50 IOPS per GiB), but this still wouldn't address the throughput limitation of a single volume if that's the bottleneck. Changing to a storage-optimized instance type without modifying the EBS volume might improve local instance storage performance, but it wouldn't directly address the performance of the attached EBS volume.