SentryOne Baselines help you compare your SQL Server environment performance to established norms. SentryOne provides predefined baselines based on historical time ranges, as well as custom baselines. Once you establish a baseline, it's overlaid on the SentryOne Performance Analysis Dashboard charts for your monitored instances, giving you information that can help you manage performance across your environment, including Windows servers, VMware, SQL Server Analysis Services (SSAS), and Azure SQL Database.
As a DBA, your job is to monitor and optimize your SQL Server database environment and Windows servers. You undoubtedly have a lot of experience on how to keep your systems running smoothly.
But do you have a consistent, time-proven approach in place to compare and visualize the performance of your current environment against established baseline metrics?
Are you alerted when a metric exceeds a certain threshold? Can you create multiple baselines to compare the performance test results based on different SQL Server settings or workloads?
If you're frustrated by the time it takes to set and manage performance metrics for your SQL Server environment, take a closer look at SentryOne Baseline capabilities.
SentryOne provides the most comprehensive and intuitive baselining for SQL Server, SSAS, Azure SQL Database, Windows, and VMware.
Watch a quick tour of SentryOne Baselines in action.
With SentryOne, you can easily create a baseline for your monitored environment from within the SentryOne Performance Analysis Dashboard. With established baselines, you can see at a glance when factors in your environment are atypical for that period.
SentryOne, by default, provides a set of predefined baselines that show your server’s resource usage for a similar time period, such as a previous day or week. These baselines pull from the historical data that SentryOne has collected in your monitored environment.
Armed with this knowledge, you'll be able to see at a glance whether your database and Windows server utilization is atypical for a specific period, so you can actively prevent database slowdowns or outages.
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