Cost Optimization Strategies
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 back to our Cost Optimization Strategies for the cloud course. I am Dieter Matzion and I will be your instructor for this lecture. In this lecture we are going to summarize what we covered so far and I will give you some tips where to get more ideas for cloud optimization at the end. In our first lecture we learned about the drivers of cloud adoption, what makes people excited about cloud, and why they want to use it and how this affects cloud cost.
Next, I explained how visibility into cloud cost will be the foundation of the majority of cloud cost reduction efforts and what you can do to attribute cost of departments and even softer releases. Then, we worked away from relatively easy cloud cost reduction efforts to evermore sophisticated ones with the goal to give you a broad overview of what cloud cost optimization will mean for your business. Last not least, we learned about best practices and how to build a culture of cost consciousness and I gave you some inside in to what to expect next on your cloud cost optimization journey.
Before we close out, I like to give you some ideas where you can get more information around cloud cost optimization. The simplest way is to watch more courses on CloudAcademy, of course. Future courses for cloud cost optimization will like cover specific cloud vendors like Amazon Web Services, Microsoft Azure, and Google Cloud Platform and going to more detail around their service offerings.
Another common thing people like to do is to attend conferences. Major conferences help out cloud providers, typically feature announcements of new technologies, and have breakout sessions that offer deep dives in specific subject areas. However, as your knowledge of the cloud grows you will soon see diminishing returns. A good way to keep the information exchange going is to organize informal meetups and invite developers from your city. The investment on your part is relatively minimal as meeting areas are freely available after business hours and all you need to arrange for is food and drinks.
Meetups not only allow developers to exchange ideas, they are also an excellent venue for further benchmarking. I hope this high level course on cost optimization strategies for the cloud was useful to you and that it helped to show that cloud cost optimization is not just a sidetrack. I am Deter Matzion, thanks for watching.
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.