awslabs/data-on-eks
Oct 2024 – Jun 2026
15 Months active
Languages Used
DockerfileHCLShellTerraformYAMLMarkdownGoBash
Technical Skills
AWSAWS EKSBig DataCI/CDCloud ComputingCloud Infrastructure
vara-bonthu
PROFILE
Vara-bonthu
Over 15 months, contributed to the awslabs/data-on-eks repository by engineering scalable data and AI infrastructure on AWS EKS. Delivered features such as GPU-accelerated Spark and TPC-DS benchmarking, autonomous anomaly detection for ad analytics, and dynamic VPC networking for multi-AZ deployments. Applied Terraform and Kubernetes to automate infrastructure, while integrating technologies like Apache Spark, Bedrock, and Helm for reproducible, secure deployments. Enhanced documentation and CI/CD workflows using Python, YAML, and GitHub Actions, improving onboarding and operational reliability. Focused on maintainability, security, and performance, the work enabled robust, cloud-native analytics and machine learning workloads for production environments.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
36Total
Bugs
5
Commits
36
Features
25
Lines of code
188,395
Activity Months15
Your Network
20 peopleWork History
June 2026
2 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for awslabs/data-on-eks: Focused on improving reliability and planning for stateful workloads on EKS by delivering updated documentation for EBS in-place modifications and the revised modification cadence, enabling clearer change planning and reducing downtime risk.
2 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for awslabs/data-on-eks: Focused on improving reliability and planning for stateful workloads on EKS by delivering updated documentation for EBS in-place modifications and the revised modification cadence, enabling clearer change planning and reducing downtime risk.
June 2026
May 2026
2 Commits • 2 Features
May 1, 2026May 2026 monthly summary for awslabs/data-on-eks. The month focused on delivering two high-impact features that strengthen the data platform for advertisers and enable scalable, reliable operations on AWS EKS. Key outcomes include real-time anomaly detection for ad performance and a flexible Valkey data stack ready for replication and cluster-mode deployments. No major bugs fixed this period; efforts centered on feature delivery, deployment standardization, and laying groundwork for future improvements. The work enhances business value by accelerating data-driven decision-making and improving deployment reliability across the data-on-eks stack.
May 2026
2 Commits • 2 Features
May 1, 2026May 2026 monthly summary for awslabs/data-on-eks. The month focused on delivering two high-impact features that strengthen the data platform for advertisers and enable scalable, reliable operations on AWS EKS. Key outcomes include real-time anomaly detection for ad performance and a flexible Valkey data stack ready for replication and cluster-mode deployments. No major bugs fixed this period; efforts centered on feature delivery, deployment standardization, and laying groundwork for future improvements. The work enhances business value by accelerating data-driven decision-making and improving deployment reliability across the data-on-eks stack.
April 2026
5 Commits • 2 Features
Apr 1, 2026April 2026 — Key stability, scalability, and maintainability improvements for awslabs/data-on-eks. Delivered automated deployment stability enhancements for Celeborn and Kubernetes-based Spark memory management, introduced a dual StarRocks architecture with KEDA scale-to-zero and benchmarking, and cleaned up documentation and deprecated resources to reduce technical debt. These efforts improved production observability, reduced risk of memory-related outages, enabled cost-efficient scaling, and provided validated performance baselines for the new architecture.
5 Commits • 2 Features
Apr 1, 2026April 2026 — Key stability, scalability, and maintainability improvements for awslabs/data-on-eks. Delivered automated deployment stability enhancements for Celeborn and Kubernetes-based Spark memory management, introduced a dual StarRocks architecture with KEDA scale-to-zero and benchmarking, and cleaned up documentation and deprecated resources to reduce technical debt. These efforts improved production observability, reduced risk of memory-related outages, enabled cost-efficient scaling, and provided validated performance baselines for the new architecture.
April 2026
March 2026
3 Commits • 2 Features
Mar 1, 2026March 2026 performance focused on scalable data benchmarks on AWS EKS, infrastructure expansion for higher scalability, and security hardening across dependencies and workflows. Delivered tangible business value by enabling faster, GPU-accelerated analytics at scale, while strengthening security posture and platform scalability.
March 2026
3 Commits • 2 Features
Mar 1, 2026March 2026 performance focused on scalable data benchmarks on AWS EKS, infrastructure expansion for higher scalability, and security hardening across dependencies and workflows. Delivered tangible business value by enabling faster, GPU-accelerated analytics at scale, while strengthening security posture and platform scalability.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 — Delivered targeted CI/CD workflow simplification for awslabs/data-on-eks by removing the PR Title validation, reducing contributor friction while preserving CI quality. No major bugs fixed this month; maintenance focused on cleaning up GitHub Actions configuration and pruning outdated workflows. Overall impact is faster onboarding for external contributors and maintained stability of PR processing and build pipelines. Technologies demonstrated include Git, GitHub Actions (YAML), CI/CD maintenance, and repository hygiene.
1 Commits • 1 Features
Jan 1, 2026January 2026 — Delivered targeted CI/CD workflow simplification for awslabs/data-on-eks by removing the PR Title validation, reducing contributor friction while preserving CI quality. No major bugs fixed this month; maintenance focused on cleaning up GitHub Actions configuration and pruning outdated workflows. Overall impact is faster onboarding for external contributors and maintained stability of PR processing and build pipelines. Technologies demonstrated include Git, GitHub Actions (YAML), CI/CD maintenance, and repository hygiene.
January 2026
November 2025
2 Commits • 2 Features
Nov 1, 2025November 2025 (awslabs/data-on-eks): Focused on stabilizing release automation and improving documentation quality. Delivered two main enhancements to the website deployment workflow and docs, reinforcing business value by reducing release friction and improving developer onboarding. All changes were reviewed and signed off in commits.
November 2025
2 Commits • 2 Features
Nov 1, 2025November 2025 (awslabs/data-on-eks): Focused on stabilizing release automation and improving documentation quality. Delivered two main enhancements to the website deployment workflow and docs, reinforcing business value by reducing release friction and improving developer onboarding. All changes were reviewed and signed off in commits.
September 2025
4 Commits • 3 Features
Sep 1, 2025In September 2025, awslabs/data-on-eks advanced performance visibility, reliability, and security for EMR EKS workloads. Key outcomes include delivering a performance benchmarking framework that compares Spark with Gluten+Velox against native Spark on TPCDS, implementing a robust website deployment workflow to publish artifacts from the correct build output, upgrading the EMR EKS infrastructure with a new Helm provider and Karpenter module, and hardening CI/CD by tightening GitHub Actions permissions and removing unused AWS resources. These efforts enable data-driven optimization of Spark workloads, ensure reliable public artifacts and documentation, streamline infrastructure upgrades, and reduce security risk and operational overhead. Technologies demonstrated include Dockerized environments, Spark, Gluten, Velox, TPCDS benchmarking, Helm, Karpenter, GitHub Actions, and general IaC/CI-CD discipline.
4 Commits • 3 Features
Sep 1, 2025In September 2025, awslabs/data-on-eks advanced performance visibility, reliability, and security for EMR EKS workloads. Key outcomes include delivering a performance benchmarking framework that compares Spark with Gluten+Velox against native Spark on TPCDS, implementing a robust website deployment workflow to publish artifacts from the correct build output, upgrading the EMR EKS infrastructure with a new Helm provider and Karpenter module, and hardening CI/CD by tightening GitHub Actions permissions and removing unused AWS resources. These efforts enable data-driven optimization of Spark workloads, ensure reliable public artifacts and documentation, streamline infrastructure upgrades, and reduce security risk and operational overhead. Technologies demonstrated include Dockerized environments, Spark, Gluten, Velox, TPCDS benchmarking, Helm, Karpenter, GitHub Actions, and general IaC/CI-CD discipline.
September 2025
August 2025
5 Commits • 3 Features
Aug 1, 2025August 2025 monthly summary for awslabs/data-on-eks: Delivered significant improvements to the Spark on EKS blueprint, expanded dynamic VPC networking for flexible multi-AZ deployments, and enhanced notebook capabilities with Bedrock integration. Also improved user experience on the website homepage with a new Workshop Banner and fixed a storage provisioning race condition to ensure reliable deployments. The work emphasizes business value through reliability, scalability, and better feature visibility.
August 2025
5 Commits • 3 Features
Aug 1, 2025August 2025 monthly summary for awslabs/data-on-eks: Delivered significant improvements to the Spark on EKS blueprint, expanded dynamic VPC networking for flexible multi-AZ deployments, and enhanced notebook capabilities with Bedrock integration. Also improved user experience on the website homepage with a new Workshop Banner and fixed a storage provisioning race condition to ensure reliable deployments. The work emphasizes business value through reliability, scalability, and better feature visibility.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for awslabs/data-on-eks focused on preparing DoEKS for its v2.0 release by decommissioning AI references on EKS, removing unused AI/ML blueprints, and updating the README to emphasize data-workload orientation. The work included a new DoEKS Website entry as part of the release readiness effort. No major bugs were fixed this period; the emphasis was on codebase simplification, deprecation, and documentation to streamline the upcoming release.
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for awslabs/data-on-eks focused on preparing DoEKS for its v2.0 release by decommissioning AI references on EKS, removing unused AI/ML blueprints, and updating the README to emphasize data-workload orientation. The work included a new DoEKS Website entry as part of the release readiness effort. No major bugs were fixed this period; the emphasis was on codebase simplification, deprecation, and documentation to streamline the upcoming release.
July 2025
June 2025
2 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for awslabs/data-on-eks: Delivered two major platform upgrades to enhance observability, reliability, and performance of EMR on EKS, with Terraform-based configuration updates and improved cluster management capabilities. The work reduced maintenance risk, aligned with the latest EKS add-ons, and improved Spark job observability and resource utilization.
June 2025
2 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for awslabs/data-on-eks: Delivered two major platform upgrades to enhance observability, reliability, and performance of EMR on EKS, with Terraform-based configuration updates and improved cluster management capabilities. The work reduced maintenance risk, aligned with the latest EKS add-ons, and improved Spark job observability and resource utilization.
March 2025
3 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for awslabs/data-on-eks: Delivered large-scale Spark operator benchmarks with a dedicated node group and enhanced EKS configurations; completed Data on EKS / AI on EKS repository split with migration guidance; updated documentation and navigation to direct users to the new repositories. These efforts improve scalability, reduce onboarding friction, and strengthen maintainability.
3 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for awslabs/data-on-eks: Delivered large-scale Spark operator benchmarks with a dedicated node group and enhanced EKS configurations; completed Data on EKS / AI on EKS repository split with migration guidance; updated documentation and navigation to direct users to the new repositories. These efforts improve scalability, reduce onboarding friction, and strengthen maintainability.
March 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Focused on delivering GPU-accelerated DeepSeek-R1 inference on Amazon EKS and strengthening the security posture of data-on-eks. Delivered a complete DeepSeek-R1 on EKS blueprint with Ray and vLLM for GPU-accelerated inference, including Kubernetes RayServe configurations, Dockerfile for the inference environment, and Terraform/docs updates. Implemented security hardening to address vulnerabilities documented in issue #746. These efforts improve deployment velocity, runtime performance for AI workloads, and security posture, enabling scalable, reproducible cloud-native AI workloads. Technologies demonstrated include Kubernetes, Ray, vLLM, EKS, Docker, Terraform, and security best practices.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Focused on delivering GPU-accelerated DeepSeek-R1 inference on Amazon EKS and strengthening the security posture of data-on-eks. Delivered a complete DeepSeek-R1 on EKS blueprint with Ray and vLLM for GPU-accelerated inference, including Kubernetes RayServe configurations, Dockerfile for the inference environment, and Terraform/docs updates. Implemented security hardening to address vulnerabilities documented in issue #746. These efforts improve deployment velocity, runtime performance for AI workloads, and security posture, enabling scalable, reproducible cloud-native AI workloads. Technologies demonstrated include Kubernetes, Ray, vLLM, EKS, Docker, Terraform, and security best practices.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Delivered a new adopter entry for Securonix in Data on EKS, documenting Spark on EKS with Karpenter templates for production and updating the adopter registry (including contact person). No major bugs fixed this month. Commit reference: e7d6fb4e0d1f8c9006399aa040f2d787bf838966.
1 Commits • 1 Features
Jan 1, 2025January 2025: Delivered a new adopter entry for Securonix in Data on EKS, documenting Spark on EKS with Karpenter templates for production and updating the adopter registry (including contact person). No major bugs fixed this month. Commit reference: e7d6fb4e0d1f8c9006399aa040f2d787bf838966.
January 2025
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for awslabs/data-on-eks: Delivered a major Trino blueprint upgrade and infrastructure modernization. No major bugs fixed this month. Result: improved deployment efficiency, better resource utilization, and enhanced stability for analytics workloads. Demonstrated skills in Terraform, Kubernetes (Karpenter), Trino, and Helm chart tuning. Business value: faster time-to-market for analytics, cost-efficient scaling, and easier maintenance.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for awslabs/data-on-eks: Delivered a major Trino blueprint upgrade and infrastructure modernization. No major bugs fixed this month. Result: improved deployment efficiency, better resource utilization, and enhanced stability for analytics workloads. Demonstrated skills in Terraform, Kubernetes (Karpenter), Trino, and Helm chart tuning. Business value: faster time-to-market for analytics, cost-efficient scaling, and easier maintenance.
October 2024
2 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for awslabs/data-on-eks focusing on Spark benchmarking enhancements for EKS with flexible benchmark configurations. Delivered updates to Spark benchmarks (3.5.3) with Graviton example coverage, refactored configurations for clarity and reusability, and updated infrastructure packaging (Terraform modules and Dockerfiles) to support the new Spark version and diverse benchmark scenarios. Introduced generic node group and benchmark job definitions to remove hard-coded instance types, enabling benchmarking across multiple AWS instance families and storage types. The work improves testing coverage, maintainability, and speed of performance insights for EKS workloads.
2 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for awslabs/data-on-eks focusing on Spark benchmarking enhancements for EKS with flexible benchmark configurations. Delivered updates to Spark benchmarks (3.5.3) with Graviton example coverage, refactored configurations for clarity and reusability, and updated infrastructure packaging (Terraform modules and Dockerfiles) to support the new Spark version and diverse benchmark scenarios. Introduced generic node group and benchmark job definitions to remove hard-coded instance types, enabling benchmarking across multiple AWS instance families and storage types. The work improves testing coverage, maintainability, and speed of performance insights for EKS workloads.
October 2024
Activity
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Quality Metrics
Correctness93.8%
Maintainability87.6%
Architecture92.6%
Performance86.2%
AI Usage25.6%
Skills & Technologies
Programming Languages
BashCSSDockerfileGoHCLJSONJavaScriptMarkdownPythonShell
Technical Skills
AI DevelopmentAWSAWS EKSAWS EMRApache GlutenApache SparkBashBedrockBenchmarkingBig DataCI/CDCI/CD workflowsCSS ModulesCloud ArchitectureCloud Computing
Repositories Contributed To
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