From Data to Decisions: Real-Time Network Context#

Víctor Fernández · Senior Network & Systems Architect — Colt Technology Services

• Why: The data-layer talk that underpins both safer automation and the agentic-AI direction: unifying configs, telemetry, BGP data, service relationships, and change history into one live model.
• What: A real-time context platform (ingest → normalize → relate → expose) that answers, when an interface goes down: which services are affected, which customers, whether redundancy exists, and whether there was a recent change. Exposed via API, MCP, and web UI to three consumer types — engineers, automation, and agents.
• How: The core scenario: a change in New York and a degradation in Paris — independent events or a hidden dependency? Lessons from applying it at scale: data quality over everything, "same thing, same id" identifiers, relationships expose hidden risks, semantics over links. Framing: "automation scales actions, context speeds up decision-making."
• Where applicable: Colt-scale carrier environment; requires serious data-quality discipline first. The MCP exposure makes it a concrete early example of the agent-context plumbing several other talks gesture at.