Implement a Worker Pool Pattern in Go

Problem Statement

At Uber, we process millions of ride requests daily. Each request involves geocoding, pricing calculations, and driver matching. Implementing these as sequential operations would be disastrously slow. Design and implement a Worker Pool that processes jobs concurrently with a fixed number of workers.

Requirements

Implement a worker pool with the following specifications:

• A fixed number of worker goroutines (configurable)
• A jobs channel to receive work
• A results channel to send completed work
• Graceful shutdown when all jobs are processed

Example Implementation

Real-World Scenarios

• Image Processing Pipeline: Resize/compress thousands of user uploads
• API Aggregation: Fetch data from multiple microservices concurrently
• Log Processing: Parse and index high-volume log streams

Follow-up Questions

1. How would you handle job failures and retries?
2. How do you limit memory usage with very large job queues?
3. How would you implement priority queues for jobs?