This text discusses creating a microservice in Python using Couchbase as the database. The service provides a simple API for looking up user profiles by ID, nickname, or username. The author compares the performance of three different implementations: a full code version with Python's built-in HTTP server, a FastAPI implementation, and a Node.js implementation. The tests show that the Node.js implementation performs best in terms of latency, but the Python-based services can scale to near 10,000 requests per second. The author concludes that Python is an excellent option for moderate load services, but may not be suitable for high-performance applications requiring low latency.