Testing Changes Before You Break Production

Have you ever wanted a feature to help you assess the impact of future SQL Server upgrades, the impact of hardware or operating system upgrades, and for SQL Server tuning?  Well that tool has been around since 2012, but I have found that not many people have used Distributed Replay.  The level of difficulty to get this feature set up lends to the small adoption rate, but I chat with Melody Zacharias about her experience with the tools and I think it is time to give this feature a spin.

Are you using Distributed Replay?  What do you think the best feature is?  What is the worst thing about it?  Leave your thoughts in the comments below.  I look forward to hearing from you.

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 databasehealth.com 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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