
Worked on the librenms/librenms repository to enhance device detection for Arista EOS hardware, specifically enabling accurate identification of Arista 7130-48G3S devices. This was achieved by updating the arista-mos.yaml configuration to include a new sysObjectID, improving the platform’s auto-discovery and inventory accuracy. The work focused on YAML-based device mapping and SNMP OID handling, ensuring more reliable monitoring coverage and reducing the need for manual triage. Leveraged Git for collaboration within a large open-source codebase, demonstrating skills in device management and network monitoring while contributing a targeted feature that strengthened SNMP-based detection mapping for Arista EOS deployments.
August 2025 monthly summary for librenms/librenms: Focused on enhancing Arista EOS device detection to improve auto-discovery and inventory accuracy. Key feature delivered: Arista EOS device detection enhancement by adding a new sysObjectID (.1.3.6.1.4.1.43191.1.2.8) to arista-mos.yaml, enabling correct identification of Arista 7130-48G3S devices. This work is tracked under commit aa41615c392ffac0333546b4afd8e84e289c4a6f. Overall impact: more reliable device detection for Arista EOS, reducing manual triage and improving monitoring coverage. Technologies/skills demonstrated: YAML-based device mapping, SNMP OID handling, Git-based collaboration within a large open-source project.
August 2025 monthly summary for librenms/librenms: Focused on enhancing Arista EOS device detection to improve auto-discovery and inventory accuracy. Key feature delivered: Arista EOS device detection enhancement by adding a new sysObjectID (.1.3.6.1.4.1.43191.1.2.8) to arista-mos.yaml, enabling correct identification of Arista 7130-48G3S devices. This work is tracked under commit aa41615c392ffac0333546b4afd8e84e289c4a6f. Overall impact: more reliable device detection for Arista EOS, reducing manual triage and improving monitoring coverage. Technologies/skills demonstrated: YAML-based device mapping, SNMP OID handling, Git-based collaboration within a large open-source project.

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