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Introducing Microsoft SQL Server 2019

You're reading from   Introducing Microsoft SQL Server 2019 Reliability, scalability, and security both on premises and in the cloud

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781838826215
Length 488 pages
Edition 1st Edition
Languages
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Authors (8):
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Allan Hirt Allan Hirt
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Allan Hirt
Dustin Ryan Dustin Ryan
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Dustin Ryan
Mitchell Pearson Mitchell Pearson
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Mitchell Pearson
Kellyn Gorman Kellyn Gorman
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Kellyn Gorman
Dave Noderer Dave Noderer
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Dave Noderer
Buck Woody Buck Woody
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Buck Woody
Arun Sirpal Arun Sirpal
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Arun Sirpal
James Rowland-Jones James Rowland-Jones
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James Rowland-Jones
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Toc

Table of Contents (15) Chapters Close

Preface 1. Optimizing for performance, scalability and real‑time insights 2. Enterprise Security FREE CHAPTER 3. High Availability and Disaster Recovery 4. Hybrid Features – SQL Server and Microsoft Azure 5. SQL Server 2019 on Linux 6. SQL Server 2019 in Containers and Kubernetes 7. Data Virtualization 8. Machine Learning Services Extensibility Framework 9. SQL Server 2019 Big Data Clusters 10. Enhancing the Developer Experience 11. Data Warehousing 12. Analysis Services 13. Power BI Report Server 14. Modernization to the Azure Cloud

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...

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