Simulation Details

FastCommerce is a leading e-commerce platform known for its rapid and reliable online shopping experience. Serving over 10 million active users monthly and processing an average of 500,000 orders daily, the company prides itself on three core pillars: speed, with sub-2-minute order processing times; reliability, maintaining a 99.9% uptime target; and scalability, supported by a microservice architecture capable of handling peak loads of over 10,000 orders per minute.

However, during a recent Black Friday surge, the system faced a catastrophic failure under a 300% traffic increase, resulting in processing delays, a significant drop in uptime, and over $1.2 million in lost revenue. To recover, FastCommerce is focused on optimizing three key metrics: average order processing time (under 2 minutes), queue size (below 500 orders), and system uptime (99.9%). These improvements are critical to maintaining its competitive edge in a fast-paced e-commerce landscape.

You will step into the role of a Java Spring Boot Developer tasked with preparing FastCommerce’s order processing pipeline for a high-stakes system demo. This demo is crucial for securing $5 million in funding and restoring stakeholder confidence after the Black Friday failure. Your mission is to address two critical shortcomings in the pipeline: improving real-time order routing and implementing actionable system health metrics.

Collaborate with Chris Robinson, the Engineering Lead, who will provide feedback on your technical implementation. Your tasks include:
– Implementing the processNewOrders method to enable real-time routing of orders by customer type, ensuring PREMIUM customers are prioritized while tracking processing times for actionable insights.
– Developing the getSystemHealthScore method to calculate a health score based on queue size and processing speed, ensuring system reliability and readiness for production.

Your ability to deliver clean, scalable code that adheres to microservice best practices will be key to the pipeline’s success and the company’s future.

– Collaborate with Chris Robinson in real-time to refine your technical approach.
– Implement the processNewOrders method to enable efficient order routing and generate actionable metrics.
– Develop the getSystemHealthScore method to monitor system health and ensure operational reliability.
– Ensure your code aligns with FastCommerce’s goals of maintaining processing times under 2 minutes, a queue size below 500 orders, and 99.9% uptime.

Team

Who you will work with in this Simulation
Your team is 100% generated by AI – you will not interact with real people and no human will read your conversation.

Alex Rhodes
Java Spring Boot Developer

Chris Robinson
Engineering Lead

Organization

A leading e-commerce platform specializing in rapid and reliable online shopping experiences.