SAS® on Kubernetes: Container Orchestration of Analytic Work Loads

About this paper

With vast amounts of data, the infrastructure demands for advanced analytics is ever increasing. There are a class of analytic problems like optimization, forecasting, machine learning in domains of retail, finance, and other verticals, where the problem could be broken down into smaller sub-problems. Example, in retail; assortment by store, or price optimization by category, in finance; security portfolio optimization by industry, the entire problem is broken down into a subset of smaller jobs. In this paper, we present orchestrating these jobs on Kubernetes, GKE powered by Google Cloud Platform (GCP). We marry the best in analytics; SAS®, with the best in container orchestration, GKE, to build a robust solution to manage analytic workloads. The solution will have the following properties: scalable, performant, elastic, cost-efficient and simple to deploy.

About Core Compete

Founded in 2012, Core Compete is a pioneer in Cloud Analytics and is based in Durham, North Carolina with offices in Dallas, London and India (Pune and Hyderabad). We currently have 200+ employees and over 450 cloud and technology certifications, with highly specialized skills including: domain consultants, data scientists, and cloud engineers. Core Compete is an ISO 27001 and SOC 2 certified organization.

We partner with AWS, Google Cloud, Microsoft Azure, SAS, Snowflake, Hortonworks and Tableau to deliver successful cloud analytics and big data transformations for major corporations worldwide.

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