SQL Server on Kubernetes
Designing and Building a Modern Data Platform
Anthony E. Nocentino, Ben Weissman
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Naturwissenschaften, Medizin, Informatik, Technik / Informatik
Beschreibung
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.
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.
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Schlagwörter
SQL Server and Docker, Containers, Microsoft Azure, Kubernetes, Modern Application Deployment, SQL Availability Groups, SQL Server, DataOps, Azure Arc, Database Administration, Docker, SQL Server in Kubernetes, Database DevOps, High Availability, SQL Server in Containers, Big Data Clusters