
Andy Stoneberg engineered robust automation and build systems across the opendatahub-io/notebooks and red-hat-data-services/kubeflow repositories, focusing on modernizing image pipelines and release workflows. He refactored Dockerfiles to be self-contained, integrated skopeo for registry operations, and introduced dynamic dependency management using Python and Shell scripting. By centralizing notebook test orchestration and enhancing CI/CD with GitHub Actions and Makefile automation, Andy improved reliability, maintainability, and observability of releases. His work also included YAML toolchain modernization and governance updates, ensuring smoother collaboration. These efforts resulted in streamlined builds, reduced maintenance overhead, and more deterministic, high-quality software delivery for data science environments.

In August 2025, the cncf/foundation repo focused on governance and maintainer clarity. Key activity was a Kubeflow Maintainer Roster Update that adds Andy Stoneberg as a Kubeflow maintainer, reflecting current leadership and ensuring accurate responsibility mapping. No code changes were required for this administrative update. This month emphasized governance accuracy and contributor onboarding, setting the stage for smoother collaboration and decision-making.
In August 2025, the cncf/foundation repo focused on governance and maintainer clarity. Key activity was a Kubeflow Maintainer Roster Update that adds Andy Stoneberg as a Kubeflow maintainer, reflecting current leadership and ensuring accurate responsibility mapping. No code changes were required for this administrative update. This month emphasized governance accuracy and contributor onboarding, setting the stage for smoother collaboration and decision-making.
Month: 2025-03 — Notebook images and workbench environments (opendatahub-io/notebooks) Key accomplishments: - RHEL9 image build modernization: Refactored to remove reliance on chained builds; Dockerfiles are self-contained; introduced new file extensions for CPU/accelerator specific Dockerfiles; updated BuildConfig manifests to simplify the build process and improve image management. Commits: 6c3a7b1465b247038b6e5237f74d54f7212fa729. - Skopeo integration across images: Integrated skopeo into all workbench and notebook images to enable registry interactions and image manipulation; ensures consistent tooling across environments. Commits: 2633eb405495ed86f59b007b8b48e3562141e73a, 6a5e059cd559022ee32c98ad58e8471f3a5fd411. - R and RStudio upgrade with CUDA overlays: Upgraded R/RStudio in notebook images; refactored Dockerfiles for efficiency; introduced Kustomize overlays for CUDA accelerators to improve resource allocation and GPU utilization. Commits: 253e0d9f050ff0da75d88e874e7c53958562fbdc, c0febe7b0b3c48e2ddef77202a160edc88dfb05b. - Python environment cleanup and dependency updates: Removed Python 3.9 resources; updated packaging tools (setuptools and wheel) in the rhel9-python-3.11 environment to align with current support and reduce maintenance. Commits: d476f3c5fc6a3fb1672f4cd6b79c702a75dab187, 2b670fecf1ef6532c7d1859701a9233d5408acf4. Major bugs fixed: - No critical defects fixed this month. Notable PR feedback addressed and cleanup performed (e.g., Python packaging cleanup). Overall impact and accomplishments: - Improved build reliability and maintainability: self-contained Dockerfiles and streamlined BuildConfig reduce complexity and time to produce images. - Enhanced registry interactions and image management across notebooks/workbenches via skopeo integration. - Better GPU resource utilization and accelerator support through CUDA overlays and Kustomize integration, enabling more efficient notebook workloads. - Cleaner Python stack alignment, easing future upgrades and security patching. Technologies and skills demonstrated: - Dockerfile modernization, BuildConfig workflows, and RHEL9-based image management - Skopeo for registry operations and image inspection - Kustomize overlays for per-GPU accelerator configurations - CUDA accelerator integration in container images - Upgrades and packaging discipline for R (and RStudio) and Python tooling (setuptools, wheel) - PR workflow, code cleanup, and cross-repo collaboration
Month: 2025-03 — Notebook images and workbench environments (opendatahub-io/notebooks) Key accomplishments: - RHEL9 image build modernization: Refactored to remove reliance on chained builds; Dockerfiles are self-contained; introduced new file extensions for CPU/accelerator specific Dockerfiles; updated BuildConfig manifests to simplify the build process and improve image management. Commits: 6c3a7b1465b247038b6e5237f74d54f7212fa729. - Skopeo integration across images: Integrated skopeo into all workbench and notebook images to enable registry interactions and image manipulation; ensures consistent tooling across environments. Commits: 2633eb405495ed86f59b007b8b48e3562141e73a, 6a5e059cd559022ee32c98ad58e8471f3a5fd411. - R and RStudio upgrade with CUDA overlays: Upgraded R/RStudio in notebook images; refactored Dockerfiles for efficiency; introduced Kustomize overlays for CUDA accelerators to improve resource allocation and GPU utilization. Commits: 253e0d9f050ff0da75d88e874e7c53958562fbdc, c0febe7b0b3c48e2ddef77202a160edc88dfb05b. - Python environment cleanup and dependency updates: Removed Python 3.9 resources; updated packaging tools (setuptools and wheel) in the rhel9-python-3.11 environment to align with current support and reduce maintenance. Commits: d476f3c5fc6a3fb1672f4cd6b79c702a75dab187, 2b670fecf1ef6532c7d1859701a9233d5408acf4. Major bugs fixed: - No critical defects fixed this month. Notable PR feedback addressed and cleanup performed (e.g., Python packaging cleanup). Overall impact and accomplishments: - Improved build reliability and maintainability: self-contained Dockerfiles and streamlined BuildConfig reduce complexity and time to produce images. - Enhanced registry interactions and image management across notebooks/workbenches via skopeo integration. - Better GPU resource utilization and accelerator support through CUDA overlays and Kustomize integration, enabling more efficient notebook workloads. - Cleaner Python stack alignment, easing future upgrades and security patching. Technologies and skills demonstrated: - Dockerfile modernization, BuildConfig workflows, and RHEL9-based image management - Skopeo for registry operations and image inspection - Kustomize overlays for per-GPU accelerator configurations - CUDA accelerator integration in container images - Upgrades and packaging discipline for R (and RStudio) and Python tooling (setuptools, wheel) - PR workflow, code cleanup, and cross-repo collaboration
February 2025: opendatahub-io/notebooks delivered major improvements to image build reliability and CI quality. 1) Image Build Pipeline Unchaining and Automation (feature) — removed chained builds, made Dockerfiles self-contained, updated release Makefile, and aligned CI automation to support unchained builds. Commits: 500766338df9f65646b01ae93e56b1acbd582dfe; 04deced2ce727deb661339445c7951c441b37593. 2) Dockerfile Linting Coverage in CI (bug) — fixed Hadolint detection to ensure all Dockerfiles (including extension-based ones) are linted. Commit: 43bcf28328f62b9127d6e6b2947f740701b8c57d. Overall impact: simplifies image build processes, reduces release friction, and improves code quality and consistency across notebook images. Technologies/skills demonstrated: Docker, Makefile automation, Hadolint, CI/CD pipelines, release engineering.
February 2025: opendatahub-io/notebooks delivered major improvements to image build reliability and CI quality. 1) Image Build Pipeline Unchaining and Automation (feature) — removed chained builds, made Dockerfiles self-contained, updated release Makefile, and aligned CI automation to support unchained builds. Commits: 500766338df9f65646b01ae93e56b1acbd582dfe; 04deced2ce727deb661339445c7951c441b37593. 2) Dockerfile Linting Coverage in CI (bug) — fixed Hadolint detection to ensure all Dockerfiles (including extension-based ones) are linted. Commit: 43bcf28328f62b9127d6e6b2947f740701b8c57d. Overall impact: simplifies image build processes, reduces release friction, and improves code quality and consistency across notebook images. Technologies/skills demonstrated: Docker, Makefile automation, Hadolint, CI/CD pipelines, release engineering.
January 2025 (2025-01) — opendatahub-io/notebooks: Implemented a more reliable Notebook Testing Framework with centralized test orchestration, dynamic dependency version retrieval from imagestream manifests, and enhanced probe settings and logging. This work improves determinism of test runs, reduces maintenance burden, and enhances observability for notebook validation. A key milestone was ensuring papermill-based tests run successfully across all supported notebooks (commit 3924fe749864a0d653a613395afc0d7fa19141d4).
January 2025 (2025-01) — opendatahub-io/notebooks: Implemented a more reliable Notebook Testing Framework with centralized test orchestration, dynamic dependency version retrieval from imagestream manifests, and enhanced probe settings and logging. This work improves determinism of test runs, reduces maintenance burden, and enhances observability for notebook validation. A key milestone was ensuring papermill-based tests run successfully across all supported notebooks (commit 3924fe749864a0d653a613395afc0d7fa19141d4).
December 2024 performance highlights across two repositories, delivering business-value features, stability improvements, and governance enhancements. Focused on automating release workflows, improving metadata handling, stabilizing dependencies, and strengthening collaboration and tooling for YAML edits.
December 2024 performance highlights across two repositories, delivering business-value features, stability improvements, and governance enhancements. Focused on automating release workflows, improving metadata handling, stabilizing dependencies, and strengthening collaboration and tooling for YAML edits.
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