Case Study
Migration to Nautobot for an International University
AHEAD staged a migration to Nautobot, giving this university a reliable source of truth, automated onboarding, and a stronger basis for compliance automation.

The Professor 

For this international university, its sprawling campus was matched by an equally sprawling network. Data was scattered across aging tools, custom scripts, and separate workflows that weren’t connected or governed. Faced with compliance demands and potential hybrid cloud adoption, the legacy environment was creating more friction than value. The network had to keep up with the complexity of the university itself.

A Heavy Course Load 

At the core of the university’s need was a modern network inventory that could serve as a single source of truth. 

Legacy Tools with Limited Automation. NetDisco and NACT supported important day-to-day network workflows. But their disconnected architecture and limited API support were making it hard to automate manual tasks. 

Fragmented Inventory. Network data was spread across multiple systems. There was no single, up-to-date view of the environment, which included device, interface, port, VLAN, and related network data. 

Compliance Pressure. TLS and certificate requirements added another layer of urgency. The university needed reporting that could meet compliance requirements. 

A Hybrid Cloud on the Horizon. Future automation would have to work across more than one environment. That required a platform that could support API-driven workflows now, while providing a practical runway into the cloud later on.

Even the most accomplished professor needs a good department behind them. The university needed the same kind of support for its network: a partner that could understand the existing operating model, preserve critical workflows, and help move from legacy inventory to an automated network.

Office Hours 

This engagement aligned with two areas of AHEAD’s expertise. 

  • Platform & Workload Modernization: Consolidating the network inventory and operational workflows into Nautobot. 
  • Operational Excellence: Making manual onboarding, synchronization, validation, and compliance activities repeatable jobs and practices. 

The work unfolded across three phases: 

Advise 

AHEAD and the university began the inventory work with — what else — inventory. That meant reviewing all the NACT scripts and NetDisco features in use. AHEAD also mapped device and network data to Nautobot, helping identify required custom fields and defining migration criteria. 

Why the Groundwork Mattered: The transition plan was realistic upfront. Instead of treating migration as a single cutover event, the team could run a parallel pilot to test for data accuracy, workflow parity, and operational readiness. 

Build 

AHEAD deployed the Nautobot pilot environment with the existing tools. Teams developed onboarding and synchronization jobs to bring devices and associated inventory into Nautobot, while recreating key NACT capabilities as Nautobot-based workflows. AHEAD also used the parallel checks to compare the new and legacy environments for any lingering migration gaps. 

How It Came to Life: The university got a working platform first, with sensible ways to keep improving it. 

Run 

University teams have continued building confidence in Nautobot, while current operations continue to run. 

How It Kept Delivering: The university doesn’t have to solve every problem on day one. Instead, like the best teachers, it can continue to learn and improve its capabilities using a stable source of truth and a sensible roadmap. 

With Honors 

The university can now schedule the rest of the term with a consistent network inventory. 

Less Manual Work. Automation reduced manual device onboarding by 40%, with a process for adding and integrating new devices each time. 

A Safer Transition. The university moved its legacy tools without downtime. It was able to carefully control retirement by running the new platform in parallel and validating before cutover. 

Strong Compliance. Early TLS and certificate checks improved the university’s compliance posture, and the API-first platform sets the stage for consistent reporting and future compliance automation. 

What’s Next 

With Nautobot in place, the university is looking toward retiring the remaining NetDisco and NACT dependencies. It’s also considering CI/CD pipelines, Terraform integration, and hybrid cloud operations. Modernization starts with data. By validating workflows and building for automation in deliberate steps, public sector IT teams can balance improving current operations with creating room for tomorrow’s infrastructure. AHEAD connects strategy with engineering and turns network data into an operational advantage. 

Top Takeaways

AHEAD:

  • Reduced manual device-onboarding effort by 40% through automation. 
  • Established Nautobot as a unified source of truth for network inventory. 
  • Transitioned from legacy NetDisco and NACT tooling without downtime.