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Deploying and Managing Azure Kubernetes Service (AKS) Clusters

by Ben Weissman and Anthony Nocentino

This course will teach you how to build and operate an AKS cluster.

What you'll learn

Azure Kubernetes Services are a platform-as-a-service offering that provide you a Kubernetes service in the Azure cloud. They come with support for both Linux and Windows Workloads and are highly scalable – both automated and manually, and both for compute resources and for pods. This is how they provide you the required flexibility to always run on a system that has the perfect size for your workloads. In this course, Deploying and Managing Azure Kubernetes Service (AKS) Clusters, you’ll learn how to deploy and operate your own AKS cluster. First, you’ll explore what the core concepts of AKS are and what to consider when designing an AKS cluster. Next, you’ll discover what it takes to build and manage a Kubernetes cluster using AKS. Finally, you’ll learn how to operate an AKS cluster. When you’re finished with this course, you’ll have the skills and knowledge of Deploying and Managing Azure Kubernetes Service (AKS) Clusters needed to build and operate a Kubernetes Cluster in AKS.

About the authors

Ben Weissman, a Microsoft Data Platform MVP, has been working with SQL Server since SQL Server 6.5, mainly in the BI/Datawarehousing field. Besides his Pluralsight courses, Ben is also the co-author of multiple books on data and kubernetes including "SQL Server on Kubernetes ", "Azure Arc-enabled Data Services", "SQL Server Big Data Clusters" and "The Biml Book". He is also a regular speaker at international events. Ben and his team at Solisyon have been involved in more than 200 Business I... more

Anthony is a Principal Field Solution Architect at Pure Storage as well as a Pluralsight Author, a Microsoft Data Platform MVP, Linux Expert, and Corporate Problem Solver. Anthony designs solutions, deploys the technology, and provides expertise on business system performance, architecture, and security. Anthony has a Bachelors and Masters in Computer Science with research publications in high performance/low latency data access algorithms and spatial database systems.

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