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CASE STUDY: RetailMart
Overview:
Industry: Retail/E-commerce
Size: 2000 employees, $500M revenue
Environment:
- Monolithic Java app on VMware
- Oracle RAC DB
- F5 Load Balancers
- 10 Gbps Direct Connect to AWS
Requirements:
- CapEx to OpEx
- Handle 10x Black Friday traffic
- Personalized recommendations
- Modernize without impacting sales
Exec Statements:
- CEO: Omnichannel experience.
- CFO: Predictable costs, no hardware refresh.
- CTO: Break monolith, but Oracle DB stays on-prem for 2 years.
Tech Reqs:
- Zero downtime deployments
- PCI-DSS compliance
- Image processing pipeline
- Async order processing
Constraints:
- Hybrid architecture required
- Team knows Spring Boot, zero Kubernetes exp
- 6-month timeline
QUESTION: The CTO requires the Oracle database to remain on-premises while the application moves to GCP. Which hybrid connectivity solution should you implement to ensure high throughput and low latency?
GCP PCA · Question 09 · Compute Systems
CASE STUDY: RetailMart
Overview:
Industry: Retail/E-commerce
Size: 2000 employees, $500M revenue
Environment:
- Monolithic Java app on VMware
- Oracle RAC DB
- F5 Load Balancers
- 10 Gbps Direct Connect to AWS
Requirements:
- CapEx to OpEx
- Handle 10x Black Friday traffic
- Personalized recommendations
- Modernize without impacting sales
Exec Statements:
- CEO: Omnichannel experience.
- CFO: Predictable costs, no hardware refresh.
- CTO: Break monolith, but Oracle DB stays on-prem for 2 years.
Tech Reqs:
- Zero downtime deployments
- PCI-DSS compliance
- Image processing pipeline
- Async order processing
Constraints:
- Hybrid architecture required
- Team knows Spring Boot, zero Kubernetes exp
- 6-month timeline
QUESTION: How should you design the asynchronous order processing system to ensure no orders are lost during Black Friday spikes?
CASE STUDY: RetailMart
Overview:
Industry: Retail/E-commerce
Size: 2000 employees, $500M revenue
Environment:
- Monolithic Java app on VMware
- Oracle RAC DB
- F5 Load Balancers
- 10 Gbps Direct Connect to AWS
Requirements:
- CapEx to OpEx
- Handle 10x Black Friday traffic
- Personalized recommendations
- Modernize without impacting sales
Exec Statements:
- CEO: Omnichannel experience.
- CFO: Predictable costs, no hardware refresh.
- CTO: Break monolith, but Oracle DB stays on-prem for 2 years.
Tech Reqs:
- Zero downtime deployments
- PCI-DSS compliance
- Image processing pipeline
- Async order processing
Constraints:
- Hybrid architecture required
- Team knows Spring Boot, zero Kubernetes exp
- 6-month timeline
QUESTION: How should you design the asynchronous order processing system to ensure no orders are lost during Black Friday spikes?
Answer options:
Write orders directly to the on-premises Oracle database using synchronous REST APIs.
Publish orders to a Pub/Sub topic and use push subscriptions to trigger Cloud Run services.
Store orders in an in-memory Memorystore (Redis) cache and run a cron job to process them hourly.
Use Cloud Tasks to execute synchronous HTTP calls to the inventory service.
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