MLOps, or Machine Learning Operations, is supported by various technologies including containerization and orchestration tools like Kubernetes. These technologies facilitate the deployment, monitoring, and management of machine learning models in production environments. Additionally, MLOps leverages cloud computing for scalable computation and data storage, ensuring models can adapt to changing demands. By streamlining the MLOps pipeline, organizations can enhance the efficiency, reliability, and collaboration of data science projects, accelerating the delivery of machine learning solutions.