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An enterprise is deploying a mission-critical transactional database on Google Cloud Compute Engine. The architecture team has determined that the database workload requires a minimum of 25,000 sustained read and write IOPS with at least 800 MiBps throughput to satisfy peak business traffic.
The database administrator attached a 1,000 GiB pd-ssd (SSD Persistent Disk) volume to an instance with 4 vCPUs, but performance monitoring reveals that the disk operations are capped well below the target 25,000 IOPS and 800 MiBps.
Which adjustment should the cloud architect recommend to achieve the required disk performance?
In Google Cloud Compute Engine, the actual I/O performance (IOPS and throughput) achievable by a Persistent Disk (PD) is governed by the minimum of two independent limits: the provisioned disk capacity (which scales IOPS and throughput linearly per GiB) and the VM machine type limits (determined by the number of vCPUs assigned to the VM instance).
StudyCerts
StudyCertsT2A, N2, or Z3), an instance with only 4 vCPUs is strictly limited to maximum write/read IOPS around 15,000–20,000 and maximum throughput around 240–400 MiBps, regardless of how large the attached disk is.pd-ssd disk has sufficient GiB provisioned guarantees that the disk itself can generate the required IOPS and throughput baseline to saturate the upgraded VM interface limits.Upgrading both the disk capacity and the VM core count directly addresses the dual-bottleneck architecture of Compute Engine block storage, allowing the database to sustain 25,000 IOPS and 800 MiBps.
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