Getting Started with SAS and Kubernetes

Understanding SAS on Kubernetes is becoming increasingly important as organizations adopt cloud-native technologies to streamline operations and improve scalability. This specialized course provides a robust introduction to SAS Viya architecture on Kubernetes, equipping administrators with the foundational skills needed to manage SAS services effectively in a Kubernetes environment.

The course begins with an overview of Kubernetes and its core concepts, including namespaces and management tools. Participants will learn to execute basic Kubernetes commands and use tools essential for managing SAS Viya. From navigating cloud toolboxes to understanding the intricate architecture of SAS Viya on Kubernetes, the curriculum provides a clear and structured approach to mastering these concepts.

One of the standout features of this course is its focus on practical operations. Learners gain hands-on experience in operating SAS servers and services within Kubernetes, an essential skill for administrators looking to manage SAS workloads efficiently. Special attention is given to SAS Viya namespaces, ensuring that participants understand how to create and manage isolated environments for better resource organization and security.

With prerequisites limited to basic Linux skills and server connectivity, this course is highly accessible while delivering significant value to IT professionals. It caters specifically to administrators eager to gain insights into the integration of SAS within cloud ecosystems. SAS Viya, a leading analytics platform, leverages Kubernetes to enhance its performance and scalability, making this course an indispensable tool for anyone involved in managing these systems.

Enrolling in this course provides a pathway to mastering SAS on Kubernetes, helping professionals optimize their infrastructure and harness the full potential of SAS Viya. From cloud essentials to Kubernetes management, this training equips learners with the knowledge to excel in the ever-evolving field of cloud-based analytics.