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Course
- Cloud
Managing Compute Costs in Azure
Perhaps the most expensive but crucial cost-management decisions you must make in the cloud involve your compute resources. This course will teach you a practical framework for making good Azure compute cost-management and optimization decisions.
What you'll learn
Successfully applying business-driven strategies in your FinOps practice requires a solid foundation in thoughtful and nimble tactical execution. This is especially true when it comes to compute resources. In this course, Managing Compute Costs in Azure, you’ll learn to monitor, analyze, and apply cost optimizations over your compute infrastructure in pursuit of the greatest return on your cloud investment. First, you’ll explore the major configurations and settings that impact cost and efficiency. Next, you’ll discover how to monitor and adjust to apply optimization strategies that reduce cost while maintaining performance. Finally, you’ll learn how to use what you uncover as you iterate through the FinOps cycle to effectively forecast and budget against changing workload demands. When you’re finished with this course, you’ll have the skills and knowledge of compute cost optimization in Azure needed to begin applying newly learned practices to your FinOps discipline.
Table of contents
About the author
Howdy fellow student of life! Thanks for your interest in learning more about what makes me tick. Throughout my tech career, I found that I had the most fun and the greatest satisfaction when I was helping others learn about and embrace software and related technologies. So, when I was honored to be offered a staff position as a training architect -- I realized a dream to combine my passion for technology and my passion for teaching others. I hope that the material I provide plays some small part in helping you pursue your passions, too. A leader of people, a shepherd of data -- and a follower of both -- I have more than 30 years in the tech industry, much of it focused on Microsoft stack services and databases, for both on-prem and cloud implementations. I cut my cloud teeth while reducing a patent to practice; we implemented a card game paradigm in a WCF service on Azure. It was late in 2012, when interacting with Azure involved a lot of co-mentoring with erstwhile Microsoft folks. I've had my head in the cloud(s) ever since!
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