Episode 59
| August 24, 2016
| 50 minutes
Mirroring, Availability Groups, Replication, and Log shipping
Welcome to episode 59, Compañeros! Have you ever wondered what the best option is for making your data available in your environment? Listener Chris Hendon asked us to talk about differences between Availability groups, mirroring, log shipping, and replication. Today on the SQL Trail Steve and I chat with Andy Mallon and Mariano Kovo about these topics. We cover each topic in detail and explain the positives and negatives of each one. Join us, for another great episode.
MSDN: SQL Server Replication
MSDN: Always-On Availability Groups
MSDN: Log Shipping
MSDN: Database Mirroring
Log Shipping FAQ
The Impatient DBA
Mariano Kovo: @Mariano_Kovo
Andy Mallon: @AMtwo
Steve Stedman: @SQLEMT
Carlos L Chacon: @CarlosLChacon
Listen to Learn…
- How to use Mirroring to save money for your shop
- The difference between Mirroring and Availability Groups
- Why would I consider using Mirroring
- The unique benefit of Replication
- Why Log Shipping and Disaster Recovery work well together
Our Guests
Mariano Kovo
I’m a Data Architect, working in technology since 1995, in the Autonomous City of Buenos Aires. Specialized in Microsoft SQL Server Databases from version 6.5 until today, going through all versions of the product and several of its engines. My passion for data technologies took me from my first job as a DBA Administrator to become a collaborator within Microsoft Argentina & Uruguay as a SQL Server technical specialist.
I am the co-founder of Precision IT, a technology company with a presence in Argentina and the United States, a certified partner in Microsoft, Citrix, and Dell EMC. My focus is Infrastructure Architecture, High Availability, Disaster Recovery, and Performance & tuning. Additionally, I recognize myself as an enthusiast of Microsoft Azure Cloud platform and cloud data platform technologies.
In 2010 I was co-founder of the PASS (Professional Association for SQL Server) chapter in Argentina (SQLArgentina) and which I currently represent. Since 2018 I have received the Microsoft MVP award in Data Platform for my various contributions to the community and my skills on the data platform. I am continuously participating in technical talks for Microsoft, SQL Saturdays, Universities, Microsoft User Groups, and webcasts for the community presenting official releases and specialized workshops for the community, both in Latin America and the United States.
Andy Mallon
Andy Mallon is a SQL Server DBA. He’s also the co-organizer of SQL Saturday Boston and co-leader for the New England SQL Server User Group. Follow him on Twitter @AMtwo and LinkedIn. His blog The Impatient DBA covers DBA careers, SQL Server, and T-SQL topics.
I would say that some of the best advice I ever got is that the more you screw up, the more you’re going to learn. But, when you screw up, admit it, fix it, ask for help if you need it.
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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