Book Image

Professional Azure SQL Database Administration - Second Edition

By : Ahmad Osama
Book Image

Professional Azure SQL Database Administration - Second Edition

By: Ahmad Osama

Overview of this book

Despite being the cloud version of SQL Server, Azure SQL Database differs in key ways when it comes to management, maintenance, and administration. This book shows you how to administer Azure SQL Database to fully benefit from its wide range of features and functionalities. Professional Azure SQL Database Administration begins by covering the architecture and explaining the difference between Azure SQL Database and the on-premise SQL Server to help you get comfortable with Azure SQL Database. You’ll perform common tasks such as migrating, backing up and restoring a SQL Server database to an Azure database. As you progress, you’ll understand how you can reduce costs, and manage and scale multiple SQL databases using elastic pools. You’ll also implement a disaster recovery solution using standard and active geo-replication. Whether it is learning different techniques to monitor and tune an Azure SQL Database or improving performance using in-memory technology, this book will enable you to make the most out of Azure SQL database features and functionality for data management solutions. By the end of this book, you’ll be well-versed with key aspects of an Azure SQL Database instance, such as migration, backup restorations, performance optimization, high availability, and disaster recovery.
Table of Contents (11 chapters)

Summary

In this lesson, we learned different ways of monitoring and tuning Azure SQL databases. We learned how to use performance metrics and Query Performance Insight to monitor database metrics and queries from the Azure portal. The lesson talked about using Azure SQL Analytics to monitor Azure SQL Database. Intelligent Insights, provided by the Azure SQL Analytics, can be used to set up alerts on different metrics such as CPU, log IO, blocks, and deadlocks. Intelligent Insights can also be used to fine-tune long-running or CPU-/IO-intensive queries to further optimize an Azure SQL database. We also learned how to set up alarms on database metrics, and proactively took action as and when alarms were raised. Finally, we learned about important DMVs and set up extended events to monitor an Azure SQL database. Following this, we learned how to set up automatic tuning to automatically tune an Azure SQL database, and we used in-memory OLTP to improve the performance of an OLTP workload. Performance...