Network Automation using NetDevOps in Optical Networks

In this research, we present an automated NetDevOps pipeline for configuration management, version control, and deployment validation in optical transport networks. The pipeline integrates Ansible playbooks, Python-based NETCONF clients, and RESTCONF APIs for device configuration and end-to-end service provisioning. With Git-based version control, automated rollbacks, and dynamic resource utilization, it ensures scalability, reliability, and efficient management across diverse network devices. By leveraging digital twin environments, the proposed approach enables pre-deployment testing to ensure error-free configurations before live implementation on real devices. Performance evaluation highlights significant improvements in configuration time, resource optimization, and error reduction compared to traditional methods, addressing key challenges in managing large-scale optical network infrastructures.

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Publication Details

Published
2025-05-06
DOI
https://doi.org/10.23919/ondm65745.2025.11029370
Primary Topic
Advanced Optical Network Technologies
Type
article
Field-Weighted Citation Impact
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article

Network Automation using NetDevOps in Optical Networks

Thomas Bauschert, J. -P. Elbers, Achim Autenrieth, Vignesh Karunakaran et al.
Advanced Optical Network Technologies
article

Network Automation using NetDevOps in Optical Networks

Thomas Bauschert, J. -P. Elbers, Achim Autenrieth, Vignesh Karunakaran, Nikhil Dsilva
article en

Abstract

In this research, we present an automated NetDevOps pipeline for configuration management, version control, and deployment validation in optical transport networks. The pipeline integrates Ansible playbooks, Python-based NETCONF clients, and RESTCONF APIs for device configuration and end-to-end service provisioning. With Git-based version control, automated rollbacks, and dynamic resource utilization, it ensures scalability, reliability, and efficient management across diverse network devices. By leveraging digital twin environments, the proposed approach enables pre-deployment testing to ensure error-free configurations before live implementation on real devices. Performance evaluation highlights significant improvements in configuration time, resource optimization, and error reduction compared to traditional methods, addressing key challenges in managing large-scale optical network infrastructures.

Chemnitz University of Technology (DE), Molecular Networks (Germany) (DE)
Affordable and clean energy
Openalex Percentile: Top 88%
Advanced Optical Network Technologies
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Network Automation using NetDevOps in Optical Networks — Thomas Bauschert, J. -P. Elbers, et al. · (2025) | TGRS Research Map | TGRS