
Over six months, Andrew Bays engineered robust infrastructure and deployment solutions for the openstack-k8s-operators/architecture and telemetry-operator repositories. He streamlined OpenStack deployments on Kubernetes by introducing parallel, multi-namespace environments with isolated network configurations, leveraging Go, Kubernetes, and Kustomize. Andrew improved local development workflows by automating webhook management and operator scaling, and enhanced reliability through default configuration handling and modular refactoring. His work included stabilizing CI/CD pipelines with GitHub Actions, simplifying network architectures to align with single-NIC patterns, and fixing Kustomize manifest issues. These contributions reduced operational risk, improved maintainability, and enabled faster, more predictable onboarding and deployment processes.

2025-08 Monthly summary: Implemented network architecture simplification for multi-namespace Virtual Appliances in openstack-k8s-operators/architecture and fixed critical Kustomize manifest issues to improve deployment reliability and network isolation. These changes improve separation between control plane and datacentre networks, align with the single-NIC pattern, and reduce deployment errors across metallb, nmstate, and OLM examples.
2025-08 Monthly summary: Implemented network architecture simplification for multi-namespace Virtual Appliances in openstack-k8s-operators/architecture and fixed critical Kustomize manifest issues to improve deployment reliability and network isolation. These changes improve separation between control plane and datacentre networks, align with the single-NIC pattern, and reduce deployment errors across metallb, nmstate, and OLM examples.
April 2025 monthly summary: Delivered the capability to deploy multiple OpenStack environments in parallel across isolated Kubernetes namespaces, including per-namespace network configurations and independent control planes. Established data plane node deployment scaffolding across namespaces to support scalable, isolated environments and faster provisioning. This work directly enables multi-tenant experimentation and faster time-to-value for OpenStack deployments in Kubernetes.
April 2025 monthly summary: Delivered the capability to deploy multiple OpenStack environments in parallel across isolated Kubernetes namespaces, including per-namespace network configurations and independent control planes. Established data plane node deployment scaffolding across namespaces to support scalable, isolated environments and faster provisioning. This work directly enables multi-tenant experimentation and faster time-to-value for OpenStack deployments in Kubernetes.
February 2025 (2025-02) focused on stabilizing CI/configuration for the architecture repository by removing an obsolete reference to a deleted downstream workflow. This work reduces risk of broken pipelines and simplifies future workflow maintenance, contributing to reliable build and release processes for the OpenStack-Kubernetes operators project.
February 2025 (2025-02) focused on stabilizing CI/configuration for the architecture repository by removing an obsolete reference to a deleted downstream workflow. This work reduces risk of broken pipelines and simplifies future workflow maintenance, contributing to reliable build and release processes for the OpenStack-Kubernetes operators project.
January 2025 monthly summary focusing on key accomplishments, with emphasis on business value and technical achievements across two repositories.
January 2025 monthly summary focusing on key accomplishments, with emphasis on business value and technical achievements across two repositories.
November 2024 (2024-11) focused on delivering features to streamline RHOSO deployment in OpenStack on Kubernetes and on reducing misconfigurations through better documentation. Key outcomes include the introduction of an OpenStack RHOSO Installation Initialization Resource that consolidates operator deployment under a single init resource, and documentation enhancements that emphasize pitfalls, best practices, and DRY principles for OpenStack kustomizations. Updates to kustomization files and the OpenStack Custom Resource (CR) deployment flow enable installation of remaining OpenStack K8s operators with fewer manual steps. While no major bugs were reported, these changes reduce installation time, improve reliability, and lower operational risk. Technologies demonstrated include Kubernetes operators, OpenStack integration, kustomize, CR definitions, and contributor-focused documentation. This work supports faster onboarding, more predictable deployments, and stronger maintainability across deployment stages.
November 2024 (2024-11) focused on delivering features to streamline RHOSO deployment in OpenStack on Kubernetes and on reducing misconfigurations through better documentation. Key outcomes include the introduction of an OpenStack RHOSO Installation Initialization Resource that consolidates operator deployment under a single init resource, and documentation enhancements that emphasize pitfalls, best practices, and DRY principles for OpenStack kustomizations. Updates to kustomization files and the OpenStack Custom Resource (CR) deployment flow enable installation of remaining OpenStack K8s operators with fewer manual steps. While no major bugs were reported, these changes reduce installation time, improve reliability, and lower operational risk. Technologies demonstrated include Kubernetes operators, OpenStack integration, kustomize, CR definitions, and contributor-focused documentation. This work supports faster onboarding, more predictable deployments, and stronger maintainability across deployment stages.
October 2024: Delivered targeted improvements to the telemetry-operator to streamline local development workflows. Implemented Local Webhook Management Tooling and Operator Scaling for Local Development, including a script to set up and clean up local webhooks, safe scaling of operator replicas for local testing, and automatic removal of OLM webhooks when running locally. These changes reduce setup time, minimize local environment conflicts, and enable faster iteration in development and testing.
October 2024: Delivered targeted improvements to the telemetry-operator to streamline local development workflows. Implemented Local Webhook Management Tooling and Operator Scaling for Local Development, including a script to set up and clean up local webhooks, safe scaling of operator replicas for local testing, and automatic removal of OLM webhooks when running locally. These changes reduce setup time, minimize local environment conflicts, and enable faster iteration in development and testing.
Overview of all repositories you've contributed to across your timeline