STACKn provides a resourceful and agile approach to developing, operating, and deploying machine learning models in a cost-effective manner. It aids developers and businesses in accelerating innovation, enhancing productivity, and delivering more value faster. The application covers all stages from data ingestion and transformation, feature extraction, model definition, training, and evaluation, to deployment, inference, and monitoring. Infrastructure automation is also included on top of Kubernetes. Automate your workflows to handle tasks such as grid searches or active learning pipelines.