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articles/sql-database/sql-database-automatic-tuning.md

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@@ -35,7 +35,7 @@ Azure SQL Database Automatic tuning might be one of the most important features
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Tuning operations applied to Azure SQL Databases are fully safe for the performance of your most intense workloads. The system has been designed with care not to interfere with the user workloads. Automated tuning recommendations are applied only at the times of a low utilization. The system can also temporarily disable automatic tuning operations to protect the workload performance. In such case, “Disabled by the system” message will be shown in Azure portal. Automatic tuning regards workloads with the highest resource priority.
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Automatic tuning mechanisms are mature and have been perfected on several million databases running on Azure. Automated tuning operations applied are verified automatically to ensure there is a positive improvement to the workload performance. Regressed performance recommendations are dynamically detected and promptly reverted. Note that in case of queries affected by tuning recommendations that are not executed frequently, the validation phase can take up to 72 hrs by design. Through the tuning history recorded, there exists a clear trace of tuning improvements made to each Azure SQL Database.
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Automatic tuning mechanisms are mature and have been perfected on several million databases running on Azure. Automated tuning operations applied are verified automatically to ensure there is a positive improvement to the workload performance. Regressed performance recommendations are dynamically detected and promptly reverted. Through the tuning history recorded, there exists a clear trace of tuning improvements made to each Azure SQL Database.
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![How does automatic tuning work](./media/sql-database-automatic-tuning/how-does-automatic-tuning-work.png)
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Automatic tuning identifies **CREATE INDEX**, **DROP INDEX**, and **FORCE LAST GOOD PLAN** recommendations that can optimize your database performance and shows them in [Azure portal](sql-database-advisor-portal.md), and exposes them through [T-SQL](https://docs.microsoft.com/sql/t-sql/statements/alter-database-transact-sql-set-options?view=azuresqldb-current) and [REST API](https://docs.microsoft.com/rest/api/sql/serverautomatictuning).
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You can either manually apply tuning recommendations using the portal or you can let Automatic tuning autonomously apply tuning recommendations for you. The benefits of letting the system autonomously apply tuning recommendations for you is that in such case it automatically validates there exists a positive gain to the workload performance, or otherwise if a regression is detected it will automatically revert the tuning recommendation. In case you are manually applying tuning recommendations, the automatic performance validation, and reversal mechanisms are not available.
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You can either manually apply tuning recommendations using the portal or you can let Automatic tuning autonomously apply tuning recommendations for you. The benefits of letting the system autonomously apply tuning recommendations for you is that in such case it automatically validates there exists a positive gain to the workload performance, or otherwise if a regression is detected it will automatically revert the tuning recommendation. Note that in case of queries affected by tuning recommendations that are not executed frequently, the validation phase can take up to 72 hrs by design. In case you are manually applying tuning recommendations, the automatic performance validation, and reversal mechanisms are not available.
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Automatic tuning options can be independently enabled or disabled per database, or they can be configured on logical servers and applied on every database that inherits settings from the server. Logical servers can inherit Azure defaults for Automatic tuning settings. Azure defaults at this time are set to FORCE_LAST_GOOD_PLAN is enabled, CREATE_INDEX is enabled, and DROP_INDEX is disabled.
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