Cloud Adoption

Intermediate
10m
3,186
4.4/5

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 lesson, 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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Learning Objectives

  • 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

Intended Audience

This lesson 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.

Prerequisites

To get the most out of this lesson, 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.

About the Author
Students
4,201
Courses
3

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.

Covered Topics