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Scaling Microservices With Docker and Kubernetes on Production

I am building a fleet of Python FastAPI microservices and aiming to scale them efficiently in a production environment. Each service runs inside a Docker container, which keeps it isolated and portable. I’m orchestrating these containers with Kubernetes, specifically using the lightweight K3s distribution on the Azure cloud. 

In this article, I share my hands-on experience optimizing this setup for high performance and reliability in production.

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