Tara develops SAS environments from architectural design, through deployment and security modelling, and ultimately onto administrating and consulting. These days she enjoys writing custom Python serverless functions to extend the value of SAS, integrating them into the platform, and sharing her findings along the way. When she's not doing any of those things, she's tending to her 50+ houseplants.
In my previous post, Group-based access to Azure Files in the new SAS Viya, I walked through an example of making one or more Azure File Shares available to SAS Viya end user sessions with a group-based access pattern. This post extends the scenario and covers the case where we
You've probably heard by now the new SAS Viya runs on containers orchestrated by Kubernetes. There is a lot to know and learn for both experienced users and k8s noobies alike. I would recommend searching the SAS Communities Library for a wealth of information on deployment, administration, usability, and more.
Welcome back to my series on securely integrating custom applications into your SAS Viya platform. My goal today is to lay out some examples of the concepts I introduced in the previous posts. As a quick recap: In the first installment of this series I shared my experiences on a
This is the third installment of a series focused on discussing the secure integration of custom applications into your SAS Viya platform. I began the series with an example of how a recent customer achieved value-add on top of their existing investments by building a custom app for their employees
Welcome back! Today, I continue with part 2 of my series on building custom applications on SAS Viya. The goal of this series is to discuss securely integrating custom-written applications into your SAS Viya platform. In the first installment of this series, I outlined my experiences on a recent project.
This series is geared towards walking you through a piece of the puzzle of operationalizing your analytics: securely integrating your custom applications into your SAS Viya platform. This is particularly useful after exposing your analytics as HTTP REST APIs, as we'll see an intentionally brief example of in this first
