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Network Automation
The Network Automation Working Group operates as a knowledge sharing platform focused on network automation related domains. Its primary purpose is to enable a structured exchange of experiences, lessons learned, and best practices between NRENs.
The group provides a neutral forum where participants can share insights on:
- Network automation and orchestration.
- Data-driven network operations.
- Machine learning and artificial intelligence (AI) applications.
- Analytical tooling and recommendations based on operational data.
- The use of AI assistants and chatbots in operational environments.
Technical development and product oriented work are carried out within other relevant groups and initiatives such as Workflow Orchestrator (WFO), the GÉANT project, and related communities.
This group acts as a connector, ensuring that knowledge and experience from these activities is shared broadly among NRENs.
Objectives:
- Facilitate knowledge exchange between NRENs on topics related to network automation, orchestration, machine learning, and AI.
- Organize one to two meetings per year where NRENs can share:
- Operational experiences.
- Architectural approaches.
- Lessons learned.
- Successes and challenges.
- Share insights from related initiatives (such as WFO, GÉANT, and other communities) to increase visibility and understanding of ongoing developments.
- Provide a neutral discussion forum for exchanging ideas without commitment to specific tools, vendors, or implementations.
- Promote cross-NREN learning by highlighting common patterns, trends, and emerging practices.
- Maintain lightweight shared documentation, such as the NREN component overview and open source example models and scripts, presentations and meeting materials, to support ongoing knowledge transfer (https://github.com/gna-g/NAWG).
Contact details:
- Mailing list: network-automation@lists.gna-g.net
- Chairs: Warrick Mitchell (Warrick.Mitchell@aarnet.edu.au), Migiel de Vos (migiel.devos@surf.nl)
- GNA-G Leadership Team Liaison: Ivana Golub (ivana.pezelj.golub@gmail.com)
