awslabs/data-on-eks
Dec 2024 – Aug 2025
6 Months active
Languages Used
HCLShellYAMLMarkdownSQLTerraformDockerfilePython
Technical Skills
AutoscalingEKSHelmInfrastructure as CodeKubernetesMonitoring
Bo Guan
PROFILE
Bo Guan
Over six months, Ben Gu engineered scalable data infrastructure and deployment automation for the awslabs/data-on-eks repository. He delivered end-to-end Apache Beam on Spark deployments on AWS EKS, integrating custom Docker images, Helm charts, and Terraform for reproducible pipelines. Ben enhanced Trino autoscaling using KEDA and Prometheus metrics, improved onboarding with comprehensive documentation and Iceberg SQL examples, and strengthened security by enforcing non-root Docker execution. His work included performance tuning, configuration management, and code hygiene, leveraging Python, Kubernetes, and Infrastructure as Code. These contributions improved deployment reliability, operational efficiency, and maintainability for cloud-native data engineering workflows.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
18Total
Bugs
1
Commits
18
Features
7
Lines of code
9,831
Activity Months6
Your Network
1397 people
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 performance summary: Delivered a focused readability and maintainability enhancement to the awslabs/data-on-eks repository by cleaning up configuration file comments and removing an unused commented line. This small, targeted improvement reduces onboarding time and potential misconfigurations, and sets the stage for cleaner configuration management and future automation.
1 Commits • 1 Features
Aug 1, 2025August 2025 performance summary: Delivered a focused readability and maintainability enhancement to the awslabs/data-on-eks repository by cleaning up configuration file comments and removing an unused commented line. This small, targeted improvement reduces onboarding time and potential misconfigurations, and sets the stage for cleaner configuration management and future automation.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary focusing on security hardening and cleanup in Spark on Kubernetes deployment for awslabs/data-on-eks. Primary work centered on reducing attack surface and improving maintainability of the deployment pipeline. No major defects fixed this month; a security-focused maintenance change was committed to the Dockerfile and artifact cleanup.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary focusing on security hardening and cleanup in Spark on Kubernetes deployment for awslabs/data-on-eks. Primary work centered on reducing attack surface and improving maintainability of the deployment pipeline. No major defects fixed this month; a security-focused maintenance change was committed to the Dockerfile and artifact cleanup.
June 2025
2 Commits • 1 Features
Jun 1, 2025In June 2025, delivered an end-to-end Apache Beam on Spark deployment on Kubernetes (EKS) for the awslabs/data-on-eks repo, including a runnable example pipeline, a custom Spark/Beam runtime image, and deployment manifests. This work enables teams to run Beam pipelines on Kubernetes with the Spark Operator on EKS, improving reproducibility and operational efficiency. A subsequent refactor optimized the Dockerfile and Kubernetes manifests, adjusted resource requests/limits in Trino Helm values, and clarified the deployment/docs to streamline ongoing maintenance. Core commits include introducing the Beam example and establishing pre-commit hygiene.
2 Commits • 1 Features
Jun 1, 2025In June 2025, delivered an end-to-end Apache Beam on Spark deployment on Kubernetes (EKS) for the awslabs/data-on-eks repo, including a runnable example pipeline, a custom Spark/Beam runtime image, and deployment manifests. This work enables teams to run Beam pipelines on Kubernetes with the Spark Operator on EKS, improving reproducibility and operational efficiency. A subsequent refactor optimized the Dockerfile and Kubernetes manifests, adjusted resource requests/limits in Trino Helm values, and clarified the deployment/docs to streamline ongoing maintenance. Core commits include introducing the Beam example and establishing pre-commit hygiene.
June 2025
February 2025
9 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for awslabs/data-on-eks: Improved user onboarding for Trino on EKS with comprehensive docs and Iceberg examples, and tightened deployment stability by upgrading infrastructure tooling constraints to current versions.
February 2025
9 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for awslabs/data-on-eks: Improved user onboarding for Trino on EKS with comprehensive docs and Iceberg examples, and tightened deployment stability by upgrading infrastructure tooling constraints to current versions.
January 2025
2 Commits • 1 Features
Jan 1, 2025Concise monthly summary focusing on business value and technical achievements for 2025-01, centered on awslabs/data-on-eks. Delivered scalable Trino deployment enhancements, improved data processing capabilities with Iceberg, and streamlined operational hygiene. Highlights include deployment scaling, Helm value refinements, Karpenter/KEDA scaling, and removal of legacy artifacts, with measurable impact on performance, cost, and developer productivity.
2 Commits • 1 Features
Jan 1, 2025Concise monthly summary focusing on business value and technical achievements for 2025-01, centered on awslabs/data-on-eks. Delivered scalable Trino deployment enhancements, improved data processing capabilities with Iceberg, and streamlined operational hygiene. Highlights include deployment scaling, Helm value refinements, Karpenter/KEDA scaling, and removal of legacy artifacts, with measurable impact on performance, cost, and developer productivity.
January 2025
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for awslabs/data-on-eks: Delivered KEDA-powered autoscaling and monitoring for Trino with dynamic scaling based on CPU utilization and Prometheus metrics, JMX metrics export for enhanced observability, and updates to Helm charts and Terraform configurations. Added a KEDA ScaledObject manifest to enable responsive scaling and observability, supported by relevant commits. Implemented a deployment sequencing fix to ensure the Trino Helm add-on deploys after core EKS blueprints add-ons, improving reliability and reducing timing-related deployment issues.
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for awslabs/data-on-eks: Delivered KEDA-powered autoscaling and monitoring for Trino with dynamic scaling based on CPU utilization and Prometheus metrics, JMX metrics export for enhanced observability, and updates to Helm charts and Terraform configurations. Added a KEDA ScaledObject manifest to enable responsive scaling and observability, supported by relevant commits. Implemented a deployment sequencing fix to ensure the Trino Helm add-on deploys after core EKS blueprints add-ons, improving reliability and reducing timing-related deployment issues.
Activity
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Quality Metrics
Correctness91.2%
Maintainability91.2%
Architecture91.2%
Performance84.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
DockerfileHCLMarkdownPythonSQLShellTerraformYAMLmarkdownyaml
Technical Skills
AWS EKSApache BeamApache SparkAutoscalingBig DataCloud ComputingCloud Data LakesCloud InfrastructureConfiguration ManagementContainerizationData EngineeringData WarehousingDatabase ManagementDevOpsDocker
Repositories Contributed To
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