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In-person
November 12-15
Learn More and Register to Attend

The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for KubeCon + CloudNativeCon North America 2024 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.

Please note: This schedule is automatically displayed in Mountain Standard Time (UTC -7). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis. 
Friday November 15, 2024 11:55am - 12:30pm MST
In this talk, we will explore employing machine learning (ML) algorithms to enhance the Kubernetes autoscaling capabilities beyond the traditional, reactive horizontal pod autoscaler (HPA). Attendees will be introduced to how to leverage recommendation algorithms to predict future load and usage patterns, allowing for smarter, proactive scaling decisions. This approach not only ensures high availability and responsiveness of applications but also offers a pathway to substantial cost optimizations by preventing over-provisioning and minimizing resource wastage.
Speakers
avatar for Avni Sharma

Avni Sharma

Product Manager, Intuit
Avni is a Product Manager at Intuit, working on Intuit’s Modern SaaS Kubernetes platform. She also worked on ArgoCD as a PM. Avni is passionate about Developer tooling and strives to make developers' life easier by delivering them delightful experiences. She is also an Open Source... Read More →
avatar for Estela Ramirez

Estela Ramirez

Software Engineer, Intuit Kubernetes Service, Intuit
Estela is a Software Engineer at Intuit focusing on Intuit Kubernetes Developer Platform. She works on abstracting the autoscaling for developers.
Friday November 15, 2024 11:55am - 12:30pm MST
Salt Palace | Level 2 | 255 E
  AI + ML

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