
In December 2025, Chris Sibbitt developed and delivered the OpenStack Accelerator Driver Data Plane Service within the openstack-k8s-operators/openstack-operator repository. This feature introduced a modular data plane service tailored for accelerator drivers, addressing the need for scalable and reusable deployment of accelerator-enabled OpenStack clusters. Chris leveraged Kubernetes operator patterns, DevOps practices, and YAML-based configuration to architect a solution that separates data plane concerns and streamlines provisioning. The work included integration with EDPM Ansible workflows to ensure deployment consistency. Throughout the project, Chris maintained clear documentation and commit history, laying a solid foundation for future enhancements and operational maintainability.
December 2025 (Month: 2025-12) — Delivered the OpenStack Accelerator Driver Data Plane Service in the openstack-operator repository, introducing a dedicated data plane service for accelerator drivers to enhance OpenStack deployment capabilities. This feature, enabled by commit 177689f03f2972a7c2f362c5b29470ab3dc4efc8 and linked to EDPM Ansible PR 1074, provides modular data plane handling for accelerator workloads, improving deployment performance, scalability, and reuse across clusters. No major bugs reported this month related to this work. Impact: faster provisioning of accelerator-enabled OpenStack clusters, clearer separation of concerns, and a foundation for future optimizations. Skills demonstrated: Kubernetes operators, OpenStack deployment automation, data plane architecture, and collaborative tooling (PR-based workflows).
December 2025 (Month: 2025-12) — Delivered the OpenStack Accelerator Driver Data Plane Service in the openstack-operator repository, introducing a dedicated data plane service for accelerator drivers to enhance OpenStack deployment capabilities. This feature, enabled by commit 177689f03f2972a7c2f362c5b29470ab3dc4efc8 and linked to EDPM Ansible PR 1074, provides modular data plane handling for accelerator workloads, improving deployment performance, scalability, and reuse across clusters. No major bugs reported this month related to this work. Impact: faster provisioning of accelerator-enabled OpenStack clusters, clearer separation of concerns, and a foundation for future optimizations. Skills demonstrated: Kubernetes operators, OpenStack deployment automation, data plane architecture, and collaborative tooling (PR-based workflows).

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