Data Platform MVP Edwin Sarmiento and DH2i’s Carl Berglund make it easy to understand the latest options for virtualization, clustering, and containerization technologies to manage business-critical SQL Server workloads.
Join SQL Server MVP and consultant Denny Cherry and DH2i Director of Products Carl Berglund as they build out a very unconventional SQL Server failover cluster. They’ll show you how to take standalone SQL Server instances on a mix of different OS versions and transform them into an automated HA cluster failing over between systems—in just a few minutes.
Until recently, high-availability (HA) failover clusters for your cloud-based SQL Server deployment meant complex and expensive Availability Groups. But new container technology makes multi-node failover clustering in the cloud—even geo-clusters across availability zones—a reality.
Container technologies are capturing the industry headlines right now, but are seen mainly as a solution for Linux test-dev environments. In reality, container technology can pay big dividends for Microsoft SQL Server (MS-SQL) environments as well.
Learn to eliminate the pain of SQL Server migration–for version 2005 and beyond. Edwin Sarmiento drills into specific migration challenges and provides recommendations on what works and what doesn’t. He also demonstrates a new approach that gets rid of migration pain for good.
Join superstar consultant and SQL Server MVP Denny Cherry for this webinar on a SQL Server availability technology that has industry pundits buzzing. Denny explains the top SQL Server HA, DR, and consolidation challenges his clients face time and time again. He also shares strategies he’s seen work in the wild and identifies the gaps where these standard approaches fall short.
In this practical webinar, we look at two ways to manage SQL Server in both physical and virtual environments. You’ll see how to move workloads without paying for Software Assurance (SA) on SQL Server and dodge huge SA payment increases while still realizing the advantages of portable workloads.