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Zorluk: KolayPlanning Compute Engine Resources and Machine Types

An organization is planning to deploy a large in-memory relational database on Google Cloud Compute Engine. The workload requires high memory-to-vCPU ratios and continuous, uninterrupted operational availability. Which Compute Engine machine family should you select?

  1. Memory-optimized machine familyCevap
  2. B
    Spot VM instances using General-purpose machine types
  3. C
    Google Kubernetes Engine Autopilot clusters with autoscaling nodes
  4. D
    Cloud Run container instances with maximum scaling limits

Cevap

Memory-optimized machine family
The memory-optimized machine family is designed specifically for memory-intensive workloads like large in-memory databases, delivering high memory per vCPU alongside continuous availability.

Adım Adım Çözüm

1
Identify the workload requirements
The application requires high RAM capacity per core and non-interruptible operation.
In-memory database workloads demand specific compute profiles to run efficiently without resource throttling.
2
Evaluate Compute Engine machine families
Memory-optimized machine types offer high memory-to-vCPU ratios ideal for large databases.
General-purpose and compute-optimized families do not supply sufficient RAM density per vCPU.
3
Verify availability constraints
Standard virtual machine provisioning guarantees non-preemptible uptime.
Spot instances can be reclaimed at any moment, violating SLA uptime expectations.

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Planning Compute Engine Resources and Machine Types
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Planning Compute Engine Resources and Machine Types

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