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CASE STUDY: TechStream Gaming
Overview: Gaming company, 500 employees, $100M revenue. 200 on-prem servers (US/EU), MySQL 5TB. 2M peak users. $150K/mo cost.
Business Req: Reduce cost 40%, 5x growth, 3 new regions, daily deployments.
Execs: CEO wants scale; CFO caps budget at $100K/mo; CTO needs 99.95% uptime, notes team has limited cloud skills.
Tech Req: <100ms global latency, real-time analytics, 5x seasonal spikes, EU data residency, DDoS protection.
Constraints: 12-month migration, max 4-hour downtime.
QUESTION:
Which migration strategy should you recommend for the legacy gaming application to meet the 12-month timeline and team skill constraints?
GCP PCA · Question 04 · Business Requirements
CASE STUDY: TechStream Gaming
Overview: Gaming company, 500 employees, $100M revenue. 200 on-prem servers (US/EU), MySQL 5TB. 2M peak users. $150K/mo cost.
Business Req: Reduce cost 40%, 5x growth, 3 new regions, daily deployments.
Execs: CEO wants scale; CFO caps budget at $100K/mo; CTO needs 99.95% uptime, notes team has limited cloud skills.
Tech Req: <100ms global latency, real-time analytics, 5x seasonal spikes, EU data residency, DDoS protection.
Constraints: 12-month migration, max 4-hour downtime.
QUESTION:
To support the requirement for real-time analytics on player behavior, which architecture should you recommend?
CASE STUDY: TechStream Gaming
Overview: Gaming company, 500 employees, $100M revenue. 200 on-prem servers (US/EU), MySQL 5TB. 2M peak users. $150K/mo cost.
Business Req: Reduce cost 40%, 5x growth, 3 new regions, daily deployments.
Execs: CEO wants scale; CFO caps budget at $100K/mo; CTO needs 99.95% uptime, notes team has limited cloud skills.
Tech Req: <100ms global latency, real-time analytics, 5x seasonal spikes, EU data residency, DDoS protection.
Constraints: 12-month migration, max 4-hour downtime.
QUESTION:
To support the requirement for real-time analytics on player behavior, which architecture should you recommend?
Answer options:
Write events directly to Cloud SQL and use read replicas for analytics.
Stream events to Pub/Sub, process with Dataflow, and analyze in BigQuery.
Upload batch logs to Cloud Storage hourly and load into BigQuery.
Send events to Cloud Logging and create log-based metrics.
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