Optimizing Kubernetes workloads for price/performance

We are excited to announce the October meetup scheduled for Thursday, October 16th.

1st Presentation:
Optimizing Kubernetes workloads for price/performance

Kubernetes has become the de facto operating system of the cloud and the backbone for everything from microservices to data pipelines and AI/ML workloads. But while Kubernetes provides flexibility and scale, it also introduces a fundamental resource allocation problem due to the common practice of overprovisioning GPU, CPU, and memory.
In dynamic environments real-time, automated resource optimization is not a nice-to-have; it’s essential for keeping costs down and performance up so that development teams can focus on innovation rather than maintenance, and your business can get more done with less.
Join us for insights into the challenge of optimizing Kubernetes workloads and solutions for reducing the cost of running Kubernetes dynamically, continuously, and at scale.

Speaker Bio:
Joel Stewart
Joel is passionate about customers and distributed systems. He joined Pepperdata in 2018 with over 10 years of experience in customer service for enterprise software companies. Combining his expertise in technology and his passion for customer success, he leads Pepperdata's support and services teams. He has a bachelor’s degree in Computer Science with a focus on distributed computing from Westmont College.

The Agenda
6:30 - 6:45 - Social
6:45 - 6:55 - Club Business
6:55 - 8:30 - Optimizing Kubernetes workloads for price/performance
8.30 - 8.35 - Social/Wrap-up