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
Arun Nalpet authored a comprehensive best practices guide for Apache Spark on Amazon EKS within the awslabs/data-on-eks repository. Focusing on deployment reliability and onboarding efficiency, Arun standardized Spark deployment patterns by detailing EKS networking, Karpenter integration, storage strategies, and advanced scheduling with Yunikorn and Volcano. The work leveraged expertise in AWS EKS, Kubernetes, and cloud networking, resulting in documentation that addresses common challenges teams face when deploying Spark workloads on EKS. By consolidating technical guidance and deployment patterns, Arun’s contribution established a robust baseline for Spark on EKS, reducing onboarding risk and supporting consistent, high-performance cloud-native data processing.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
221
Activity Months1
Your Network
17 peopleWork 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
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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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