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Zorluk: KolayOptimizing Business Processes through FinOps and Cloud Cost Management

A digital publishing company runs a set of core web server virtual machines on Compute Engine. The workload has stable, predictable 24/7 resource utilization and is planned to run continuously for the next three years. The FinOps lead wants to minimize compute costs for this steady-state workload without modifying the application code or infrastructure architecture. Which cost optimization strategy should be implemented?

  1. Purchase 3-year Committed Use Discounts (CUDs) for the baseline Compute Engine instances.Cevap
  2. B
    Re-architect the steady-state baseline workload to execute on Spot VMs.
  3. C
    Migrate the virtual machine workloads into a Google Kubernetes Engine (GKE) cluster.
  4. D
    Migrate the application data tier to Cloud Spanner to reduce operational resource billing.

Cevap

Purchasing 3-year Committed Use Discounts (CUDs) for the baseline Compute Engine instances is the optimal cost optimization strategy.
Purchasing Committed Use Discounts (CUDs) is the recommended FinOps practice for predictable, 24/7 workloads planned for 1 to 3 years. It yields maximum cost savings on Compute Engine without changing application code or architecture.

Adım Adım Çözüm

1
Analyze the workload characteristics
The application requires continuous 24/7 execution with predictable resource utilization over a 3-year horizon.
Cost optimization strategies depend on whether a workload is steady-state, bursty, or short-lived.
2
Evaluate Google Cloud cost optimization models
Committed Use Discounts (CUDs) provide deep discounts for committed baseline capacity over 1 or 3 years without application refactoring.
CUDs guarantee discounted pricing for committed resource usage without operational risk of preemption.

Anahtar Kavram

Committed Use Discounts (CUDs) for Steady-State Workloads
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Optimizing Business Processes through FinOps and Cloud Cost Management