Cloud-native computing is transforming data and analytics applications. Leveraging cloud-native services and platforms, users of AI, advanced analytics, and other data-centric applications can build components as containerized microservices or distributed deployment across public, hybrid, and private cloud environments.

By leveraging sophisticated cloud-computing fabrics, enterprises can more seamlessly distribute analytics applications, models, workloads, and data to workload-optimized nodes.

Furthermore, cloud-native infrastructure allows data scientists and developers to speed
up production deployment of data analytics throughout public, private, and multicloud infra-structures.