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Domain 1: Designing and Planning a Cloud Solution ArchitectureMigration StrategyGKECloud Spanner

GCP PCA · Question 01 · Domain 1: Designing and Planning a Cloud Solution Architecture

CASE STUDY: TechStream Gaming

Overview: 500 employees, $100M revenue. On-prem US/EU, 200 servers, 5TB MySQL. 2M peak users, $100K/mo cost.
Business: Reduce cost 40%, 5x growth, launch APAC/SA/Africa, daily deployments.
Executives:

  • CEO: "Scale rapidly to compete. Cloud is critical."
  • CFO: "Cost reduction paramount. Max $100K/mo. ROI in 18 months."
  • CTO: "Team has limited cloud experience. 99.95% uptime non-negotiable."
    Tech: <100ms latency globally, real-time analytics, 5x seasonal spikes, EU data residency, DDoS protection, CI/CD.
    Constraints: 12-month migration, 4hr max downtime, 20 devs (Java/MySQL), 5 ops (limited cloud), $2M budget.

Which migration strategy should you recommend for the core gaming application to meet the business and technical requirements?

Answer options:

A.

Lift and shift the VMs to Compute Engine and keep MySQL on Compute Engine to minimize team retraining.

B.

Replatform the application to Google Kubernetes Engine (GKE) and migrate the database to Cloud Spanner.

C.

Rewrite the entire application using Cloud Functions and Firestore to achieve a serverless architecture.

D.

Keep the application on-premises and use Anthos to manage the deployments.

How to approach this question

Analyze the constraints (12 months, Java skills) against the goals (global scale, daily deployments). Replatforming strikes the right balance.

Full Answer

B.Replatform the application to Google Kubernetes Engine (GKE) and migrate the database to Cloud Spanner.✓ Correct
Replatforming to GKE allows the Java developers to containerize their application, enabling the CI/CD pipeline for daily deployments. Cloud Spanner is the only GCP relational database that scales globally while maintaining strong consistency, replacing the bottleneck of a 5TB MySQL database.

Common mistakes

Choosing Lift and Shift (A) ignores the need for modernization (daily deployments, 5x scale). Choosing Rewrite (C) ignores the 12-month timeline constraint.
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