Episode 28
| January 27, 2016
| 33 minutes
How Do You Know There Is A Problem? Baselines!
Have you ever had a situation where performance got worse and you were sure why? Do you keep records of when changes happen to your system? How do we know there’s a problem? If we have a baseline, this can help us out. More often than not, tribal knowledge rules the day and if you weren’t part of the tribe when the on-call pager goes off, things can be tough to figure out.
My guest this episode is Erin Stellato of SQLskills and we discuss what your baseline should consist of and how you might go about capturing some of that data. I am always interested to see how people monitor their servers and I know this episode will give you a few things to think about in your baselines.
Meet the Hosts
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 databasehealth.com and provides training through SQL Trail events.
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.
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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