Observium
AI Automation
Network Telemetry
ISP Operations
From Dashboards to Decisions: Turning Observium Data into AI-Ready Intelligence
Nick Randall
October 21, 2025 • 4 Min Read
Learn how UK ISPs can turn Observium telemetry into AI-ready data that drives automation, intelligence, and agentic AI.
Why stop at dashboards?
Many small ISPs across the UK depend on Observium to monitor their network health. It’s clear, dependable, and visual — the familiar red, amber, green view that tells you when something’s up (or down).
But what if your Observium data could do more than just highlight a problem? What if it could help you solve it automatically?
At NetMinded, we’ve built a first-class data product that extends what Observium already gives you — transforming raw interface data into AI-ready intelligence that powers service automation and agentic AI tools.
Observium is good — but your data is better
Observium’s dashboards and alerts are designed for human eyes, but beneath that interface lies a rich, structured telemetry stream. Each SNMP poll, interface rate, and RAG status can be scored, contextualised, and shared in a way that AI agents can understand and act upon.
Our data product doesn’t replace Observium — it amplifies it.
How it works
We connect directly to your Observium database or API and extract the interface “rate” data elements. From there, our scoring engine classifies every interface:
🟥 Red – Interface down
🟧 Amber – Up, but traffic below your “vampire threshold”
🟩 Green – Up and carrying healthy traffic
Each scored record is enriched with metadata describing:
What the metric represents (intent)
How it was derived (feature engineering)
What system or service it relates to (context)
This transforms Observium telemetry into a self-describing data stream that’s consumable by both humans and AI systems.
What you can do with it
Once Observium data becomes a first-class data product, it can flow into all sorts of next-generation workflows:
Agentic AI operations — off-the-shelf GPT agents or LangChain graphs that interpret and act on your network data.
Automation pipelines — trigger scripts or tickets automatically when under-performance is detected.
Cross-team collaboration — share service-health data safely between wholesale and retail partners without exposing raw SNMP.
AI copilots for NOC engineers — assistants that can explain why an interface is amber, not just that it is.
It’s the bridge between Observium and AI-driven operations.
Why this matters
Your network is already producing high-quality telemetry, but in most ISPs, it’s locked inside dashboards or log files. The enrichment of data with context and meaning becomes an AI-ready asset — one that helps you operate faster, resolve incidents earlier, and automate more of your daily workload.
This is how smaller ISPs can get big-operator capability without big-operator budgets.
FAQs — for Engineers, Ops leads and curious Googlers
Q: What is a “first-class data product”?
A data product that describes itself — including meaning, derivation, and context — so it can be understood by both humans and AI systems.
Q: Do I need to stop using Observium?
Not at all. This extends Observium’s reach. We extract and enrich the data it already collects — it’s an upgrade, not a replacement.
Q: How does this connect to AI tools?
Once the data is contextualised, it can be exposed via secure APIs, Kafka topics, or webhooks into your existing automation stack or off-the-shelf AI frameworks (like LangChain, OpenAI agents, or n8n).
Q: Does it only work with Observium?
Not at all. Alongside Observium - this specific example will work with Nagios, CheckMK, LibreNMS, Zabbix and PRTG. NetMinded’s scoring mechanisms work with any source of telemetry.
Q: What’s the “vampire threshold”?
It’s our configurable traffic threshold — the point below which a link is technically up but effectively inactive. It helps identify low-value or idle connections.
Q: Is it open source?
The core scoring and schema engine are open source for experimentation. Enterprise users can extend it within MNOC deployments for more advanced automation and AI integrations.
Q: What’s in it for small ISPs?
You already have Observium and rich telemetry — this lets you reuse that investment to start exploring AI-powered service automation with minimal risk.
Ready to explore?
We’re inviting a small number of UK ISPs using Observium to pilot this approach. If you’d like to see your telemetry turned into a living, AI-ready data product, get in touch — we’ll show you how to make your network data speak for itself.
Resources
Copyright NetMinded, a trading name of SeeThru Networks ©



