Modernizing Data Workloads with Data on EKS (DoEKS)| S02 EP44 | Lets Talk About Data

In this show, we explored the challenges organizations face when modernizing data workloads on Amazon EKS and how the Data on EKS (DoEKS) open-source project addresses these issues. The discussion covered the importance of data in modern business, highlighting that data-driven organizations grow faster and can significantly improves data accessibility. We delved into the key challenges companies face in extracting value from their data, including managing large data volumes, addressing diverse user needs, and enabling real-time decision-making. The conversation also touched on the role of Kubernetes in modern data infrastructure and how Data on EKS provides blueprints and best practices for building scalable, secure, and cost-effective data solutions on Amazon EKS.

Key Highlights:

• Key challenges include data volume management, diverse user needs and demand for real-time decision-making

• Data platforms help manage ingestion, processing, storage, and preparation of data

• Kubernetes addresses challenges in application portability, resource allocation and operational automation

• Amazon EKS offers a managed Kubernetes service, integrating seamlessly with other AWS services

• Data on EKS provides blueprints for building scalable data platforms on Amazon EKS

• DoEKS focuses on data processing, AI/ML, streaming platforms, distributed query engines, and job schedulers

• Organizations can start with DoEKS by exploring the AWS GitHub repository for reference architectures and templates

Check out the recording here:

Prasad Matkar - Database Specialist SA @ AWS

Brenesh - Senior Solutions Architect Analytics @ AWS

Siddharth Mehta - Principal Partner Solutions Architect @ AWS

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