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AWS Podcast
#628: Data on EKS
Oct 9, 2023
The podcast discusses the use of Kubernetes and Amazon EKS for managing data and ML workloads. They introduce the Data on EKS project as a solution and explore the evolution of Kubernetes, adoption and migration to Kubernetes with AWS, and the use of blueprints and the 'Data on EKS' project for Amazon EKS.
20:56
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Quick takeaways
- Kubernetes is becoming a popular choice for modernizing data applications, like batch processing and ML, due to factors like open source support or specific requirements.
- The Data on EKS project allows organizations to leverage Kubernetes for data and ML workloads, offering flexibility with various infrastructure as code tools and providing blueprints and examples for analytics and AI frameworks.
Deep dives
Data on EKS Project: Building Data and ML Workloads on Kubernetes
The podcast episode discusses the Data on EKS project, which focuses on running data and machine learning workloads on Kubernetes. The episode features two experts, Vara and Alex, who provide insights into the project and its benefits. One key point highlighted is that while AWS offers various managed services for data and ML workloads, some customers choose Kubernetes due to factors like open source support or specific requirements. AWS offers Amazon EKS as a managed Kubernetes offering to help customers build and manage Kubernetes applications, and the Data on EKS project provides blueprints and examples for running key data and ML workloads on EKS. The episode emphasizes that the project aims to address scalability and storage challenges commonly encountered by customers, along with providing best practices and benchmarks to facilitate a smooth migration to EKS.
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