The document discusses A/B testing in machine learning operations (MLOps). It introduces A/B testing, Kubernetes, Helm, and Seldon-core. A/B testing determines which of two variants performs better by objectively measuring a chosen metric. Kubernetes is a container orchestrator that manages pods and services. Helm is a package manager for Kubernetes that allows deployment of charts with versions. Seldon-core deploys and monitors machine learning models on Kubernetes through containerized microservices with built-in inference, metrics, and monitoring capabilities.