awslabs/data-on-eks
Apr 2026 – Apr 2026
1 Month active
Languages Used
bashdockerfileyaml
Technical Skills
AWSData EngineeringDevOpsKubernetes
Dongdong Yang
PROFILE
Dongdong Yang
Developed a new StarRocks on EKS deployment stack for the awslabs/data-on-eks repository, focusing on automating analytics infrastructure setup. The work included creating deployment and cleanup scripts, Dockerfiles for TPC-DS benchmarking, and YAML configuration files to enable consistent StarRocks cluster provisioning within a shared data architecture. Leveraging AWS, Kubernetes, and DevOps practices, the solution established a scalable and repeatable environment for analytics workloads. By introducing automated deployment and teardown processes, the project reduced manual intervention and accelerated onboarding for data engineering teams. The technical approach emphasized reproducibility and maintainability, laying a foundation for future enhancements in automated analytics infrastructure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
8,002
Activity Months1
Your Network
20 peopleWork History
April 2026
1 Commits • 1 Features
Apr 1, 2026Key outcomes for 2026-04: - Key features delivered: New StarRocks on EKS deployment stack for awslabs/data-on-eks, including deployment scripts, cleanup scripts, and configuration files for a shared data architecture. Added a Dockerfile for the TPC-DS benchmark and YAML configurations for StarRocks cluster setup. - Major bugs fixed: None identified this month. - Overall impact and accomplishments: Established a scalable, repeatable data-on-EKS deployment, enabling faster analytics setup and more reproducible environments. Lays groundwork for automated deployment and teardown, reducing manual toil and accelerating onboarding of analytics workloads. - Technologies/skills demonstrated: Kubernetes/EKS, StarRocks, Docker, YAML/configuration management, scripting for deployment/cleanup, benchmarking readiness (TPC-DS).
1 Commits • 1 Features
Apr 1, 2026Key outcomes for 2026-04: - Key features delivered: New StarRocks on EKS deployment stack for awslabs/data-on-eks, including deployment scripts, cleanup scripts, and configuration files for a shared data architecture. Added a Dockerfile for the TPC-DS benchmark and YAML configurations for StarRocks cluster setup. - Major bugs fixed: None identified this month. - Overall impact and accomplishments: Established a scalable, repeatable data-on-EKS deployment, enabling faster analytics setup and more reproducible environments. Lays groundwork for automated deployment and teardown, reducing manual toil and accelerating onboarding of analytics workloads. - Technologies/skills demonstrated: Kubernetes/EKS, StarRocks, Docker, YAML/configuration management, scripting for deployment/cleanup, benchmarking readiness (TPC-DS).
April 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
bashdockerfileyaml
Technical Skills
AWSData EngineeringDevOpsKubernetes
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