MLOps with model deployment using docker and scaling using kubernetes; API deployment with FastAPI; using MLFlow for model tracking for water potability dataset
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Updated
Aug 30, 2026 - Python
MLOps with model deployment using docker and scaling using kubernetes; API deployment with FastAPI; using MLFlow for model tracking for water potability dataset
A practical technical reference for Kubernetes architecture, core concepts, production operations, troubleshooting, and Azure Kubernetes Service (AKS).
This project demonstrates the implementation of Kubernetes deployment scaling, focusing on managing containerized Nginx applications effectively. Through this implementation, I showcase how to handle dynamic workload requirements by adjusting the number of running pods while maintaining application availability and performance.
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