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Antares: Multi-Agent AI for Automated Network Analysis and Troubleshooting in GARR Data Centers#

ITNOG10 digest Program Wildcard pick 20–21 April 2026

Francesco Lombardo — GARR (Italian research and education network)

  • Why: Agentic AI performing diagnosis on production datacenter networks is an emerging subfield — and it raises exactly the authorization and trust questions around autonomous agents acting on infrastructure that the PM's identity and security work cares about.
  • What: Antares, a multi-agent AI system for automated network analysis and troubleshooting in GARR data centers. (title only)
  • How: Presumably cooperating specialized agents (telemetry collection, hypothesis generation, remediation); the deck has the actual architecture and scope.
  • Where applicable: R&E-network DCs today; the multi-agent ops pattern generalizes, and the guard-railing questions (what may an agent do, unattended, to a production fabric?) apply anywhere.