July 30, 2024

On-Demand Webinar: Optimizing Kubernetes Node Utilization- From Theory to Practice 

Brendan Cooper
Head of Marketing


Overview

Have you ever agonized over which nodes to select for your Kubernetes cluster, only to end up with underutilized (and overpriced) machines? You're not alone. 

Picking the optimal nodes for your Kubernetes cluster and making sure they are consistently well-utilized is hard. Currently there are more than 80 VM types available on Azure,  262 machine types on GCE, and 775 instance types available on AWS EC2. No matter which cloud provider - choosing just the right types is tough. And then, of course, the requirements of our applications are continually changing. So we need to keep making sure our node choices are satisfactory.

In this webinar join Kubernetes optimization experts Matthew Parker and Ant Weiss as they lay out a strategic approach for continuously optimizing your clusters - from the initial node selection and up to application runtime optimization.

About the Presenters

Matthew Parker
Solutions Engineer

As an experienced Solutions Engineer boasting multiple certifications from AWS, Azure, and the CNCF, Matthew has a deep understanding of the challenges DevOps and SRE teams face daily. He has earned a reputation for being a trusted advisor through developing strong relationships with customers and helping them solve their problems.

Anton Weiss
Chief Storyteller PerfectScale

Anton has a storied career in creating engaging and informative content that helps practitioners navigate through the complexities of ongoing Kubernetes operations. With previous experience as a CD Unit Leader, Head of DevOps, and CTO and CEO he has worn many hats as a consultant, instructor, and public speaker. He is passionate about leveraging his expertise to support the needs of DevOps, Platform Engineering, and Kubernetes communities.

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[ON DEMAND WEBINAR] Join PerfectScales' experts Matthew Parker and Ant Weiss as they lay out a strategic approach for continuously optimizing your clusters.
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