KUBERNETES OPTIMIZATION WORKSHOP
Run Highly Reliable K8s Clusters at the Lowest Possible Cost
Join us as we cover best practices in optimizing your Kubernetes environment, and show you how leveraging PerfectScale can continuously keep your clusters lean and performant.
Thursday, December 12th 2024, 12pm EST
PerfectScale is Trusted by DevOps, SRE, and Platform Engineering teams around the world.
.gif)
Are your mission-critical workloads running efficiently?
If your answer is not an emphatic “yes,” then this workshop is for you.
Our research shows that 51% of Kubernetes resources are wasted, while at the same time, 25% of workloads experience performance and reliability issues due to a lack of resources or configuration errors.

Keeping your environment finely tuned is extremely complicated without the proper tooling and automation. In this workshop, we will cover best practices in optimizing your Kubernetes environment, and show you how leveraging PerfectScale can continuously keep your clusters lean and performant.
We will cover how to:
During this hands-on workshop you will learn how to:
Meet our experts
.png?width=175&height=175&name=image%20187%20(3).png)
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.
.png?width=175&height=175&name=image%20252%20(1).png)
Anton Weiss, Chief Storyteller
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.