Introduction
The PASS 2022 Data Community Summit organization has announced the Community pre-conference sessions for this year. These are 14 sessions spread across two days, taught by some great speakers. Pre-cons take place on Monday, November 14 and Tuesday, November 15. Each pre-con is an all-day session.
I was fortunate enough to be selected as a pre-con speaker this year. I will be presenting Selecting and Sizing Cloud VMs for SQL Server on Monday, November 14th. I would be honored if you decided to attend my session.
Here is my abstract:
Selecting and Sizing Cloud VMs for SQL Server
The foundation of database performance is the underlying server hardware and storage subsystem. This is true whether you are running bare metal on premises or in a cloud VM. Understanding the relative performance of different VM offerings from the major cloud providers is extremely important for SQL Server. Having properly sized and configured cloud VMs can both increase application performance and reduce operating expenses dramatically. Unfortunately, there are so many different choices and options available that many organizations end up making bad decisions.
This session will examine and compare the “best” VM choices for SQL Server from Microsoft Azure, AWS, and OCI. We will cover current and upcoming hardware from AMD and Intel and giving you the tools and resources to make better Cloud VM selection and sizing decisions to support different types of SQL Server workloads. The session will give you a comprehensive framework for how to pick the right VM type and size for your SQL Server workload type and size.
Final Words
Registering for the PASS Data Community Summit 2022 and a pre-con is very easy. Simply visit the signup page, register, and select the pre-con that you want to attend.
Registration is open now with early bird pricing. See you there!
In the meantime, you might find my latest diagnostic queries useful. I have already added a set for SQL Server 2022.
If you have any questions about this post, please ask me here in the comments or on Twitter. I am pretty active on Twitter as GlennAlanBerry. Thanks for reading!