Autoscaling Kubernetes Workloads with Karpenter: Insights from AWS and Vimond - Presentation (25 min)
Scheduled: 09:10 - 09:55, Track 2
In this presentation, Hari Charan Ayada Solutions Architect from AWS and Matteo Remo Luzzi Engineering Team Lead from Vimond will explore how Karpenter, an open-source Kubernetes cluster autoscaler, can be leveraged to optimize the scaling of Kubernetes workloads. Attendees will learn how Vimond utilized Karpenter to efficiently manage resource allocation and improve the performance of their cloud-native video streaming services. The session will provide insights into the integration process, challenges faced, and the tangible benefits achieved, offering valuable takeaways for organizations looking to enhance their Kubernetes scalability and cost-efficiency.
Vimond is a leading provider of online video streaming solutions, offering a comprehensive platform that enables media companies to manage, distribute, and monetize their video content globally. Founded in Bergen Norway, Vimond specializes in delivering high-quality streaming experiences through its robust, scalable infrastructure. The platform supports a wide range of video workflows, from content management and live broadcasting to on-demand streaming and viewer engagement. Vimond's solutions are trusted by major broadcasters, content owners, and distributors worldwide, making it a key player in the rapidly evolving digital media landscape.
Language: English
Level: Beginner
Hari C. Ayada and Matteo R. Luzzi
Solutions Architect at Amazon Web Services
Hari Charan Ayada
Currently flywheeeeeeeeling on Containerization and Cloud Technologies as a solution architect at AWS. I thrive in the exciting realms of containerization, architecture, DevOps, and cloud technologies. I’m passionate about sharing insights that not only inform but inspire fellow tech aficionados. My superpower lies in cultivating an inclusive and curious environment where teams can big-up their creativity, push boundaries, and embark on a journey of continuous learning.
Matteo Remo Luzzi
Software engineer with strong technical knowledge in distributed systems focusing into designing, developing and maintaining system architectures able to serve millions of concurrent requests. Experienced also in DevOps and SRE methodologies with focus on automation, load testing, disaster recovery, system resiliency and availability.Software engineer with strong technical knowledge in distributed systems focusing into designing, developing and maintaining system architectures able to serve millions of concurrent requests. Experienced also in DevOps and SRE methodologies with focus on automation, load testing, disaster recovery, system resiliency and availability.