Build a modern data platform by deploying SQL Server in Kubernetes. Modern application deployment needs to be fast and consistent to keep up with business objectives and Kubernetes is quickly becoming the standard for deploying container-based applications, fast. This book introduces Kubernetes and its core concepts. Then it shows you how to build and interact with a Kubernetes cluster. Next, it goes deep into deploying and operationalizing SQL Server in Kubernetes, both on premises and in cloud environments such as the Azure Cloud.

You will begin with container-based application fundamentals and then go into an architectural overview of a Kubernetes container and how it manages application state. Then you will learn the hands-on skill of building a production-ready cluster. With your cluster up and running, you will learn how to interact with your cluster and perform common administrative tasks. Once you can admin the cluster, you will learn how to deploy applications and SQL Server in Kubernetes. You will learn about high-availability options, and about using Azure Arc-enabled Data Services. By the end of this book, you will know how to set up a Kubernetes cluster, manage a cluster, deploy applications and databases, and keep everything up and running.

What You Will Learn

• Understand Kubernetes architecture and cluster components
• Deploy your applications into Kubernetes clusters
• Manage your containers programmatically through API objects and controllers
• Deploy and operationalize SQL Server in Kubernetes
• Implement high-availability SQL Server scenarios on Kubernetes using Azure Arc-enabled Data Services
• Make use of Kubernetes deployments for Big Data Clusters

Who This Book Is For

DBAs and IT architects who are ready to begin planning their next-generation data platform and want to understand what it takes to run SQL Server in a container in Kubernetes. SQL Server on Kubernetes is an excellent choice for those who want to understand the big picture of why Kubernetes is the next-generation deployment method for SQL Server but also want to understand the internals, or the how, of deploying SQL Server in Kubernetes. When finished with this book, you will have the vision and skills to successfully architect, build and maintain a modern data platform deploying SQL Server on Kubernetes.

Table of Contents

Part I: Container and Kubernetes Foundations

Chapter 1: Getting Started

Chapter 2: Container Fundamentals

Chapter 3: Kubernetes Architecture

Part II: Kubernetes in Practice

Chapter 4: Installing Kubernetes

Chapter 5: Interacting with Your Kubernetes Cluster

Chapter 6: Storing Persistent Data in Kubernetes

Part Ill: SQL Server in Kubernetes

Chapter 7: Deploying SQL Server on Kubernetes

Chapter 8: Monitoring SQL Server on Kubernetes

Chapter 9: Azure Arc-Enabled Data Services and High Availability for SQL Server on Kubernetes

Chapter 10: Big Data Clusters

About the Authors

​Anthony E. Nocentino is the Founder and President of Centino Systems as well as a Pluralsight author, a Microsoft Data Platform MVP, and an industry-recognized Kubernetes, SQL Server, and Linux expert. In his consulting practice, Anthony designs solutions, deploys the technology, and provides expertise on system performance, architecture, and security. He has bachelor's and master's degrees in computer science, with research publications in machine virtualization, high performance/low latency data access algorithms, and spatial database systems.

Ben Weissman is the owner and founder of Solisyon, a consulting firm based in Germany and focused on business intelligence (BI), business analytics, and data warehousing. He is a Microsoft Data Platform MVP, the first German BimlHero, and has been working with SQL Server since SQL Server 6.5. Ben is also an MCSE, Charter Member of the Microsoft Professional Program for Big Data, Artificial Intelligence and Data Science, and he is a Certified Data Vault Data Modeler. If he is not currently working with data, he is probably travelling to explore the world. You can find him online at @bweissman on Twitter.