awslabs/data-on-eks
Jul 2025 – Jul 2025
1 Month active
Languages Used
Markdown
Technical Skills
AWS EKSApache SparkCloud ComputingDocumentationKubernetesNetworking
Arun Nalpet Ramakrishna
PROFILE
Arun Nalpet Ramakrishna
Developed a comprehensive best practices guide for running Apache Spark on Amazon EKS within the awslabs/data-on-eks repository, focusing on standardizing deployment patterns and reducing onboarding risk for Spark workloads. The work involved detailed documentation in Markdown, outlining EKS networking, Karpenter integration, storage strategies, and advanced scheduling using Yunikorn and Volcano. Leveraging expertise in AWS EKS, Kubernetes, and cloud networking, the guide established a reliable baseline for Spark deployments, addressing both performance optimization and operational consistency. This contribution improved deployment reliability and provided clear, actionable guidance for teams adopting Spark on EKS, streamlining the onboarding process and supporting scalable cloud architectures.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
221
Activity Months1
Your Network
20 peopleShared Repositories
20
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered a comprehensive Spark on Amazon EKS Best Practices guide for awslabs/data-on-eks, standardizing deployment patterns and guidance across EKS networking, Karpenter usage, storage considerations, and advanced schedulers like Yunikorn and Volcano. The work establishes a baseline for reliable Spark deployments on EKS and reduces onboarding risk for teams deploying Spark workloads.
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered a comprehensive Spark on Amazon EKS Best Practices guide for awslabs/data-on-eks, standardizing deployment patterns and guidance across EKS networking, Karpenter usage, storage considerations, and advanced schedulers like Yunikorn and Volcano. The work establishes a baseline for reliable Spark deployments on EKS and reduces onboarding risk for teams deploying Spark workloads.
July 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
AWS EKSApache SparkCloud ComputingDocumentationKubernetesNetworkingPerformance Optimization
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