Database Monitoring with SQL Sentry

Building your own scripts to monitor SQL Server seems like a very reasonable thing to do. We’re smart folks and SQL Server is what we do for a living—we should be able to figure this out. Upon further inspection, we found it was easier for us to focus on what we do—database administration, and let the developers focus on what they do—build software. This episode explores our choice of SolarWinds SQL Sentry as the monitoring standard for SQL Data Partners.

3 Takeaways

  1. Using a monitoring tool allows us to focus on DBA tasks rather than software development.
  2. SolarWinds SQL Sentry allows us to connect different data points together easily.
  3. SQL Server Agent Job Visualization makes choosing a job schedule easy.

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For your crime scene investigation, you have security camera footage. Trying to catch [issues] in the act can be difficult.

Eugene Meidinger

Meet the Hosts

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Carlos Chacon

With more than 10 years of working with SQL Server, Carlos helps businesses ensure their SQL Server environments meet their users’ expectations. He can provide insights on performance, migrations, and disaster recovery. He is also active in the SQL Server community and regularly speaks at user group meetings and conferences. He helps support the free database monitoring tool found at and provides training through SQL Trail events.

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Eugene Meidinger

Eugene works as an independent BI consultant and Pluralsight author, specializing in Power BI and the Azure Data Platform. He has been working with data for over 8 years and speaks regularly at user groups and conferences. He also helps run the GroupBy online conference.

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Kevin Feasel

Kevin is a Microsoft Data Platform MVP and proprietor of Catallaxy Services, LLC, where he specializes in T-SQL development, machine learning, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL, president of the Triangle Area SQL Server Users Group, and author of the books PolyBase Revealed (Apress, 2020) and Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python (Apress, 2022). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.

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