Cost Optimization Strategies
The course is part of these learning paths
Cloud computing providers like Amazon Web Services, Microsoft Azure, and Google Cloud Platform are becoming a larger part of our IT budget, making it necessary to understand their cost. We may even be surprised to see public cloud bills to be higher than expected. I am going to take a closer look at the top contributors and what we can do to reduce overall spending while maintaining innovation velocity.
In this course, you'll learn what makes the cloud such an attractive solution, what drives cloud adoption, and what are the typical costs of cloud computing are. You'll learn about a wide range of cloud cost optimization techniques, the best practices for cost management, and how to gamify the cloud cost experience.
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- Understand what makes cloud attractive and how adoption will drive cost
- Learn how to gain visibility into cloud cost and how to hold departments accountable for their spending
- Learn about cloud cost drivers and how to get the most out of your budget
- Discover how to establish best practices and build a culture of cost-consciousness
This course is for executives, architects, and technical leads looking to understand what drives public cloud cost and to learn about best practices of cloud cost optimization.
To get the most out of this course, you should have a basic understanding of cloud concepts. Some familiarity with cloud services like compute and storage would also be helpful but is not required.
Welcome to our Cost Optimization Strategies for the Cloud course. I am Dieter Matzion, and I will be your instructor. In this course we are going to look at why cloud computing providers like Amazon Web Services, Microsoft Azure, and Google Cloud Platform are becoming a larger part of our IT budget.
How can we identify the top cost contributors, and what can we do to reduce overall spending while maintaining innovation velocity? This course is intended for executives, architects, and technical leads who are looking to understand what drives public cloud cost, and to learn about best practices of cloud cost optimization.
The reason this course provides a high level introduction to cloud cost optimization is so that future, more vendor-specific courses will have a broader context around them. While this is a fairly non-technical course, I do make the assumption that you are at least familiar with basic cloud concepts, and know a little about cloud services that provide, compute and storage.
By the end of this course you will be able to identify cloud cost drivers, how to get the most out of your budget, hold departments accountable for their spending, and how to build a culture of cost consciousness. Additionally, you will also have a deeper understanding of what makes cloud so attractive, and how its adoption drives cost.
Before we get started I'd like to mention that in the settings for the video player, you are able to adjust the speed of the video, so if the pace is too slow, you can speed it up. This will make me sound like a caffeinated chipmunk, but the information is still good. And if you need to slow it down you can do that as well, however, this may be less useful, as it makes me sound like a drunk turtle.
Dieter Matzion is a member of Intuit’s Technology Finance team supporting the AWS cost optimization program.
Most recently, Dieter was part of Netflix’s AWS capacity team, where he helped develop Netflix’s rhythm and active management of AWS including cluster management and moving workloads to different instance families.
Prior to Netflix, Dieter spent two years at Google working on the Google Cloud offering focused on capacity planning and resource provisioning. At Google he developed demand-planning models and automation tools for capacity management.
Prior to that, Dieter spent seven years at PayPal in different roles ranging from managing databases, network operations, and batch operations, supporting all systems and processes for the corporate functions at a daily volume of $1.2B.
A native of Germany, Dieter has an M.S. in computer science. When not at work, he prioritizes spending time with family and enjoying the outdoors: hiking, camping, horseback riding, and cave exploration.