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Zorluk: KolayOptimizing Business Processes through FinOps and Cloud Cost Management

An enterprise organization is running a production database on Compute Engine virtual machines with predictable, 24/7 continuous utilization expected for at least three years. The FinOps team needs to significantly reduce compute expenses without modifying the underlying infrastructure or compromising performance. Which cloud cost management strategy should the cloud architect recommend?

  1. Purchase 3-year Committed Use Discounts (CUDs) for the required compute resource capacity.Cevap
  2. B
    Migrate the database to Spot VMs to maximize cost savings on instance hourly rates.
  3. C
    Migrate the database workload to Google Kubernetes Engine (GKE) Autopilot to optimize compute billing.
  4. D
    Re-architect the database to run on Cloud Spanner to leverage automatic serverless pricing.

Cevap

Purchase 3-year Committed Use Discounts (CUDs) for the required compute resource capacity.
Purchasing Committed Use Discounts (CUDs) provides deep cost savings for predictable 24/7 compute workloads over a 3-year term without requiring any workload re-architecture or operational changes.

Adım Adım Çözüm

1
Analyze the workload characteristics and operational requirements.
The workload is a stateful production database running continuously 24/7 with predictable utilization over a 3-year timeline.
Cost optimization strategies must match the availability and predictability requirements of the workload.
2
Evaluate Google Cloud cost reduction mechanisms suited for baseline capacity.
Committed Use Discounts (CUDs) provide deeply discounted rates for predictable baseline resources in exchange for a 1-year or 3-year commitment.
CUDs require no infrastructure migration or code changes while offering optimal financial savings for steady-state workloads.

Anahtar Kavram

Committed Use Discounts (CUDs) for steady-state workload cost optimization
Tahmini Süre:45s
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