
Patricia Reinoso engineered robust enhancements across Canonical’s SD-Core and MongoDB Kubernetes operators, focusing on secure network management, test stability, and streamlined CI/CD workflows. She integrated TLS and certificate management into the sdcore-nms-k8s-operator, enabling secure HTTPS communication between core network functions. Patricia modernized integration testing by introducing mocks, aligning deployment parameters, and standardizing dependency channels, which reduced flakiness and improved reproducibility. Her work included refactoring device lifecycle management in Python, optimizing configuration with YAML and Terraform, and upgrading key libraries in the mongodb-k8s-operator. These efforts resulted in more reliable deployments, efficient pipelines, and maintainable infrastructure across multiple operator repositories.

October 2025 monthly summary for canonical/mongodb-k8s-operator: Delivered critical dependency upgrades and test improvements to enhance stability and upgrade readiness. Upgraded the mongo-charms-single-kernel library to 1.6.11 and the Terraform Juju provider to 0.23.1, with minor integration-test error message improvements. The changes are encapsulated in a single commit and align with upstream updates, reducing upgrade friction for future releases and improving diagnostics.
October 2025 monthly summary for canonical/mongodb-k8s-operator: Delivered critical dependency upgrades and test improvements to enhance stability and upgrade readiness. Upgraded the mongo-charms-single-kernel library to 1.6.11 and the Terraform Juju provider to 0.23.1, with minor integration-test error message improvements. The changes are encapsulated in a single commit and align with upstream updates, reducing upgrade friction for future releases and improving diagnostics.
June 2025 monthly summary: Focused on stabilizing test environments and cleaning up configuration across the SD-Core Kubernetes operators. Delivered a targeted configuration cleanup in sdcore-nrf-k8s-operator and standardized Grafana Agent channel usage to 1/stable across the entire operator family, addressing test instability and environment drift. The changes improved reproducibility of integration tests, reduced flaky results, and accelerated validation cycles for deployment readiness.
June 2025 monthly summary: Focused on stabilizing test environments and cleaning up configuration across the SD-Core Kubernetes operators. Delivered a targeted configuration cleanup in sdcore-nrf-k8s-operator and standardized Grafana Agent channel usage to 1/stable across the entire operator family, addressing test instability and environment drift. The changes improved reproducibility of integration tests, reduced flaky results, and accelerated validation cycles for deployment readiness.
Month: 2025-05 - Focused on stabilizing and modernizing test configurations for two Kubernetes operators by aligning integration tests with current deployment parameters. Delivered test-suite refinements to ensure compatibility with updated charm deployment flows, reducing CI brittleness and enabling faster validation of releases across both operators.
Month: 2025-05 - Focused on stabilizing and modernizing test configurations for two Kubernetes operators by aligning integration tests with current deployment parameters. Delivered test-suite refinements to ensure compatibility with updated charm deployment flows, reducing CI brittleness and enabling faster validation of releases across both operators.
February 2025 (canonical/sdcore-nms-k8s-operator): Delivered essential enhancements to UPF/gNB lifecycle management within the NMS and improved test stability, driving reliability and operational efficiency. Implemented a robust update path for UPFs and gNBs with a refactored create/update flow, synchronization of configurations to the desired state, and improved error handling. Also stabilized NMS integration tests by introducing retry-based synchronization for UPF and gNB data, reducing flaky behavior and ensuring assertions run against current state.
February 2025 (canonical/sdcore-nms-k8s-operator): Delivered essential enhancements to UPF/gNB lifecycle management within the NMS and improved test stability, driving reliability and operational efficiency. Implemented a robust update path for UPFs and gNBs with a refactored create/update flow, synchronization of configurations to the desired state, and improved error handling. Also stabilized NMS integration tests by introducing retry-based synchronization for UPF and gNB data, reducing flaky behavior and ensuring assertions run against current state.
December 2024 — Key features delivered, critical bug fixes, and measurable business impact across the Canonical RAN and SDcore Kubernetes operators. Key features delivered: - Extend the fiveg_f1 interface with PLMN and TAC configuration to support detailed network identity and location management. - F1 interface test infrastructure and CI improvements: consolidated and enhanced the F1 test suite, replaced NMS charm with NMS mock in integration tests, refactored test utilities, and streamlined CI triggers. - GNB integration with the 5G Core via fiveg_core_gnb interface, including interface replacement and standardized configuration/relations to obtain TAC and PLMN from the core. - Stable integration tests using mock AMF and N2 charms, removing direct dependencies and cyclic dependencies to improve test stability. - CI workflow optimizations and naming alignment across core components (fiveg_core_gnb), reducing duplicate triggers and aligning Terraform outputs. Major bugs fixed: - Removed duplicate CI triggers across multiple repositories to ensure a single CI run on main branch pushes, reducing wasted resources and improving feedback times. - Streamlined test and CI configurations by eliminating redundant jobs and branches. Overall impact and accomplishments: - Improved network configurability and observability with PLMN/TAC support, enabling more accurate network identity control and roaming scenarios. - Increased test stability and faster feedback through mocks and consolidated test infra, lowering maintenance burden. - Reduced CI resource usage and enhanced pipeline reliability with deduplicated triggers and standardized naming, accelerating feature delivery and reducing toil. Technologies/skills demonstrated: - Network interface design and configuration (PLMN/TAC) across fiveg_f1 and core interfaces. - Test automation, mock-based integration testing, and CI/CD pipeline optimization. - Infrastructure as code alignment (Terraform outputs) and cross-repo standardization.
December 2024 — Key features delivered, critical bug fixes, and measurable business impact across the Canonical RAN and SDcore Kubernetes operators. Key features delivered: - Extend the fiveg_f1 interface with PLMN and TAC configuration to support detailed network identity and location management. - F1 interface test infrastructure and CI improvements: consolidated and enhanced the F1 test suite, replaced NMS charm with NMS mock in integration tests, refactored test utilities, and streamlined CI triggers. - GNB integration with the 5G Core via fiveg_core_gnb interface, including interface replacement and standardized configuration/relations to obtain TAC and PLMN from the core. - Stable integration tests using mock AMF and N2 charms, removing direct dependencies and cyclic dependencies to improve test stability. - CI workflow optimizations and naming alignment across core components (fiveg_core_gnb), reducing duplicate triggers and aligning Terraform outputs. Major bugs fixed: - Removed duplicate CI triggers across multiple repositories to ensure a single CI run on main branch pushes, reducing wasted resources and improving feedback times. - Streamlined test and CI configurations by eliminating redundant jobs and branches. Overall impact and accomplishments: - Improved network configurability and observability with PLMN/TAC support, enabling more accurate network identity control and roaming scenarios. - Increased test stability and faster feedback through mocks and consolidated test infra, lowering maintenance burden. - Reduced CI resource usage and enhanced pipeline reliability with deduplicated triggers and standardized naming, accelerating feature delivery and reducing toil. Technologies/skills demonstrated: - Network interface design and configuration (PLMN/TAC) across fiveg_f1 and core interfaces. - Test automation, mock-based integration testing, and CI/CD pipeline optimization. - Infrastructure as code alignment (Terraform outputs) and cross-repo standardization.
2024-11 Monthly Summary: Security, reliability, and observability improvements across the NMS/K8s operator portfolio driven by TLS integration and stable dependencies. Key features delivered include TLS integration for NMS across multiple core operators (NMS, AMF, NRF, PCF, SMF, UDM, NSSF, AUSF, UDR, OAI-RAN-DU, GNBSIM) with certificate handling and TLS relationships, updated documentation, and integration tests. Additional features: credentials restoration validation test and enhanced NMS logging to include endpoint details in errors. Major bugs fixed include token validation endpoint correction; stabilizing admin account management and test deployment order to prevent race conditions; and unskipped tests after dependency/stability improvements. Impact: stronger security posture, higher CI reliability, and clearer observability enabling faster secure deployments. Technologies demonstrated: TLS with self-signed certificates, Kubernetes operators, Juju integration, integration testing, and MongoDB charm stable channel adoption.
2024-11 Monthly Summary: Security, reliability, and observability improvements across the NMS/K8s operator portfolio driven by TLS integration and stable dependencies. Key features delivered include TLS integration for NMS across multiple core operators (NMS, AMF, NRF, PCF, SMF, UDM, NSSF, AUSF, UDR, OAI-RAN-DU, GNBSIM) with certificate handling and TLS relationships, updated documentation, and integration tests. Additional features: credentials restoration validation test and enhanced NMS logging to include endpoint details in errors. Major bugs fixed include token validation endpoint correction; stabilizing admin account management and test deployment order to prevent race conditions; and unskipped tests after dependency/stability improvements. Impact: stronger security posture, higher CI reliability, and clearer observability enabling faster secure deployments. Technologies demonstrated: TLS with self-signed certificates, Kubernetes operators, Juju integration, integration testing, and MongoDB charm stable channel adoption.
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