I work in ML and the trend I see is for Solutions rather than isolated technology. MLops is used now to refer to the infrastructure to deploy a ML pipeline end to end. This includes: VMware, Kubernetes and Docker, Apache Spark/Apache Beam, TensorFlow/Pytorch and Pub/Ub technologies (Ignite, Pub/Sub)