This article details how to build a Docker-based machine learning inference service that includes automated security scanning, testing, and deployment. It walks through the architecture, CI/CD pipeline, and real-world usage of a Flask API serving a Hugging Face model locally.

This article outlines how to deploy microservices using Azure Kubernetes Service (AKS) automated through GitHub Actions. It covers the necessary prerequisites, the CI/CD pipeline stages, and best practices for a successful deployment. You’ll learn how to set up the process for building, pushing, and deploying Docker images effectively.