Clusterless Availability Groups For Scaling Out Reads

Sean Gallardy shows a good use case for Availability Groups in scaling out reads:

Read-Scale availability groups are ones where we don’t want the availability group for high-availability or disaster recovery, instead, we want to use it to create multiple copies of our databases that span across multiple servers allowing for the spreading of a large read-only workload. There are various scenarios where this might be extremely valuable and in previous versions of SQL Server it was possible, though there was a requirement of using Windows Server Failover Clustering (WSFC). Read-Scale availability groups do not require the WSFC component and does not give high-availability or disaster recovery, it only acts as a mechanism (availability groups) to facilitate the synchronization of the databases across multiple servers.

To reiterate, this is not used for high-availability or disaster recovery but instead to scale your databases across multiple servers for read workloads.

The remainder of the post shows how to set up an Availability Group without the corresponding Windows Server Failover Clustering components.

Related Posts

Improving The Azure Automated AG Experience

Allan Hirt would like to see a few improvements to the experience when creating availability groups on Azure VMs: What does this mean? To have a supported WSFC-based configuration (doesn’t matter what you are running on it – could be something non-SQL Server), you need to pass validation. xFailOverCluster does not allow this to be run. You […]

Read More

When Synchronous AG Secondaries Are Out Of Sync

David Fowler explains that just because an Availability Group is set up as synchronous, doesn’t mean you can never experience data loss on failover: The primary replica is constantly monitoring the state of it’s secondaries. With the use of a continuous ping, the primary node always knows if the secondaries are up or down. It’s when SQL detects that one of it’s […]

Read More

Categories

November 2017
MTWTFSS
« Oct Dec »
 12345
6789101112
13141516171819
20212223242526
27282930