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CASE STUDY: TechStream Gaming
Overview:
Industry: Gaming
Size: 500 employees, $100M revenue
Environment:
- On-prem US/EU
- 200 servers
- MySQL (5 TB)
- 2M peak users
- $100K/mo cost
Requirements:
- Reduce costs 40%
- 5x growth
- Launch APAC/SA/Africa
- Daily deployments
Exec Statements:
- CEO: Scale rapidly.
- CFO: Max $100K/mo, 18mo ROI.
- CTO: Limited cloud exp, 99.95% uptime.
Tech Reqs:
- <100ms latency globally
- Real-time analytics
- 5x seasonal spikes
- EU data residency
- DDoS protection
- CI/CD
Constraints:
- 12mo migration
- <4hr downtime
- 20 Java/MySQL devs, 5 ops
- $2M budget
QUESTION: Based on the constraints and requirements, which migration strategy should you recommend for the core gaming application?
GCP PCA · Question 04 · Technical Processes
CASE STUDY: TechStream Gaming
Overview:
Industry: Gaming
Size: 500 employees, $100M revenue
Environment:
- On-prem US/EU
- 200 servers
- MySQL (5 TB)
- 2M peak users
- $100K/mo cost
Requirements:
- Reduce costs 40%
- 5x growth
- Launch APAC/SA/Africa
- Daily deployments
Exec Statements:
- CEO: Scale rapidly.
- CFO: Max $100K/mo, 18mo ROI.
- CTO: Limited cloud exp, 99.95% uptime.
Tech Reqs:
- <100ms latency globally
- Real-time analytics
- 5x seasonal spikes
- EU data residency
- DDoS protection
- CI/CD
Constraints:
- 12mo migration
- <4hr downtime
- 20 Java/MySQL devs, 5 ops
- $2M budget
QUESTION: How should you design the real-time analytics pipeline for player behavior?
CASE STUDY: TechStream Gaming
Overview:
Industry: Gaming
Size: 500 employees, $100M revenue
Environment:
- On-prem US/EU
- 200 servers
- MySQL (5 TB)
- 2M peak users
- $100K/mo cost
Requirements:
- Reduce costs 40%
- 5x growth
- Launch APAC/SA/Africa
- Daily deployments
Exec Statements:
- CEO: Scale rapidly.
- CFO: Max $100K/mo, 18mo ROI.
- CTO: Limited cloud exp, 99.95% uptime.
Tech Reqs:
- <100ms latency globally
- Real-time analytics
- 5x seasonal spikes
- EU data residency
- DDoS protection
- CI/CD
Constraints:
- 12mo migration
- <4hr downtime
- 20 Java/MySQL devs, 5 ops
- $2M budget
QUESTION: How should you design the real-time analytics pipeline for player behavior?
Answer options:
Ingest events with Cloud Storage, process with Dataproc, and store in Cloud SQL.
Ingest events with Pub/Sub, process with Dataflow, and store in BigQuery.
Ingest events with Cloud IoT Core, process with Cloud Functions, and store in Cloud Spanner.
Write events directly to BigQuery using the streaming API from the game clients.
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