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In-person
November 12-15
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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. 
Thursday November 14, 2024 4:30pm - 5:05pm MST
As Kubernetes becomes the leading platform for data processing, mastering the deployment and management of Apache Spark on it is crucial. In this presentation, you'll hear from the new maintainers of the Kubeflow Spark Operator project, who will provide an overview of scaling the Spark Operator on Kubernetes, emphasizing best practices to optimize performance and efficiency. Attendees will explore the migration of the Spark Operator repository from Google to Kubeflow, gaining insights into the roadmap and key takeaways. The session will cover strategies for achieving multi-tenancy, managing multiple Spark Operator instances for large-scale deployments, ensuring robust security, and performing seamless upgrades. Participants will learn advanced techniques to maximize their Spark on Kubernetes deployments, making their data processing pipelines more efficient, reliable, and secure. This talk is for Data, ML, DevOps, and MLOps pros to enhance their Spark on Kubernetes skills.
Speakers
avatar for Chaoran Yu

Chaoran Yu

Software Engineer, Apple Inc
Chaoran Yu is a software engineer at Apple. He leads a team that builds and operates a large-scale batch analytics data platform to meet the demanding requirements of data scientists and engineers. His passion lies in delivering the best value to stakeholders through best-of-breed... Read More →
avatar for Vara

Vara

Principal OSS Specialist, AWS
Vara Bonthu is a dedicated technology professional and Worldwide Tech Leader for Data on EKS, specializing in assisting AWS customers ranging from strategic accounts to diverse organizations. He is passionate about open-source technologies, Data Analytics, AI/ML, and Kubernetes, and... Read More →
Thursday November 14, 2024 4:30pm - 5:05pm MST
Salt Palace | Level 1 | Grand Ballroom GI
  Data Processing + Storage
  • Content Experience Level Any

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