A retail logistics company is designing the compute infrastructure for a new real-time inventory routing engine. The system has the following requirements:
- Must run continuously 24/7 as a steady-state production workload with a guaranteed virtual machine uptime SLA of 99.99%.
- Requires memory-optimized compute resources offering at least 8 GB of RAM per vCPU.
- Requires high-performance storage capable of sustaining at least 50,000 IOPS.
- Must ensure that data is encrypted in memory during execution to comply with strict internal data security standards.
Which compute and storage architecture should you recommend to meet these requirements?
- Deploy ECesv5-series confidential virtual machines across two or more Availability Zones with Premium SSD v2 storage.Cevap
- BDeploy Spot ECesv5-series confidential virtual machines across multiple Availability Zones with Premium SSD v2 storage to reduce compute costs.
- CDeploy DCesv5-series confidential virtual machines across two or more Availability Zones with Standard SSD storage.
- DDeploy ECesv5-series confidential virtual machines within a single Availability Zone using Premium SSD v2 storage.
Cevap
Deploy ECesv5-series confidential virtual machines across two or more Availability Zones with Premium SSD v2 storage.
The correct architecture uses ECesv5-series VMs which utilize AMD SEV-SNP technology to encrypt data in use, satisfying the security requirement, and provide 8 GB RAM per vCPU, satisfying the memory-optimized requirement. Distributing these VMs across multiple Availability Zones guarantees a 99.99% uptime SLA. Attaching Premium SSD v2 disks easily meets the 50,000 IOPS threshold.
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Designing high-availability confidential compute solutions with memory-optimized workloads and high-performance storage.
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