Book Image

Introducing Microsoft SQL Server 2019

By : Kellyn Gorman, Allan Hirt, Dave Noderer, Mitchell Pearson, James Rowland-Jones, Dustin Ryan, Arun Sirpal, Buck Woody
Book Image

Introducing Microsoft SQL Server 2019

By: Kellyn Gorman, Allan Hirt, Dave Noderer, Mitchell Pearson, James Rowland-Jones, Dustin Ryan, Arun Sirpal, Buck Woody

Overview of this book

Microsoft SQL Server comes equipped with industry-leading features and the best online transaction processing capabilities. If you are looking to work with data processing and management, getting up to speed with Microsoft Server 2019 is key. Introducing SQL Server 2019 takes you through the latest features in SQL Server 2019 and their importance. You will learn to unlock faster querying speeds and understand how to leverage the new and improved security features to build robust data management solutions. Further chapters will assist you with integrating, managing, and analyzing all data, including relational, NoSQL, and unstructured big data using SQL Server 2019. Dedicated sections in the book will also demonstrate how you can use SQL Server 2019 to leverage data processing platforms, such as Apache Hadoop and Spark, and containerization technologies like Docker and Kubernetes to control your data and efficiently monitor it. By the end of this book, you'll be well versed with all the features of Microsoft SQL Server 2019 and understand how to use them confidently to build robust data management solutions.
Table of Contents (15 chapters)

Availability for SQL Server containers

For any production environment, ensuring availability is an important aspect of any architecture. Traditional availability solutions for SQL Server use an underlying cluster (Windows Server Failover Cluster (WSFC) or Pacemaker on Linux). For containers, load balancing, clustering, orchestration, and more are provided by K8s. Examples of K8s are Azure Kubernetes Service (AKS) and Red Hat's OpenShift.

Kubernetes clusters have nodes, which are the servers that the containers will run on. These nodes can be physical servers or VMs running on-premises or in the public cloud. A container is deployed in a K8s cluster into a pod, which is a wrapper that allows them to be deployed on a node. A pod can represent one or more containers in a logical group. Storage is presented using persistent volumes (https://kubernetes.io/docs/concepts/storage/persistent-volumes/), which are slightly different than volumes in Docker. There are two concepts: the...