SQL Server Cloud Optimization Strategies - Costs, Licensing and Infrastructure
As more businesses move their workloads to the cloud, optimizing costs in the
cloud has become a top priority. One of the most significant costs associated
with running SQL Server workloads on AWS is licensing.
In this session, we will discuss how to optimize costs on AWS by optimizing
SQL Server licensing and infrastructure. We will cover licensing options
available on AWS, and strategies for license optimization, including bringing
your own licenses, licensing at the physical core level, and SQL Server
consolidation. We will also discuss infrastructure strategies such as optimizing
CPU usage and modernizing legacy applications.
By carefully considering these strategies, businesses can achieve their cost
optimization goals while maintaining the functionality and performance they need
to run their workloads on AWS.
Attend this session to:
- Understand licensing options for running SQL Server workloads on
AWS and how to optimize licensing costs.
- Learn strategies for optimizing SQL Server infrastructure, including
instance rightsizing, CPU optimization, and modernization.
- Gain practical knowledge on how to assess SQL Server workloads and
implement cost optimization strategies to achieve the best possible value
from your licensing investment.
Thursday, September 21, 2023
1:00:00 PM EDT (New York) | 5:00:00 PM UTC
Yogi is a Principal Solutions Architect who has 22 years of experience working with different Microsoft technologies. Her specialty is in SQL Server and numerous database technologies. Yogi has in-depth AWS knowledge and expertise in running Microsoft workload on AWS.
Rafet Ducic is a Senior Solutions Architect at Amazon Web Services (AWS). He applies his more than 20 years of technical experience to help Global Industrial and Automotive customers transition their workloads to the cloud cost-efficiently and with optimal performance. With domain expertise in Database Technologies and Microsoft licensing, Rafet is adept at guiding companies of all sizes toward reduced operational costs and top performance standards.
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