The data center network migration that didn’t break anything

Nokia data center - switch in rack

Let’s be honest: network migrations have a reputation—and not a great one.

Even in well-prepared organizations, replacing live infrastructure is rarely stress-free. Brownfield environments are layered with dependencies, historical configs and workarounds.

That’s why Nokia’s global data center network migration story is worth attention—not just for the technology involved, but for how they managed to move from legacy complexity to a fully modernized fabric without breaking things along the way.

This wasn’t a pristine greenfield rebuild. It was a live migration, touching critical systems like manufacturing operations that run 24x7. And Nokia didn’t just get through it—they built a repeatable model now powering a full global rollout.

So, how’d they do it?

A controlled, parallel path 

First, Nokia chose not to “rip and replace.” Instead, they designed a parallel fabric—deploying their new infrastructure side-by-side with the legacy network, building out the new SR Linux-based topology while old services continued running.

This gave the team breathing room. They could validate the new design in real-world conditions without putting production traffic at risk. It also let them move applications incrementally, avoiding large cutovers that would have required extended downtime or heroic efforts to troubleshoot.

By isolating the new fabric during initial deployment, they ensured that no live services were disrupted. And as the new environment matured, they used Nokia Event-Driven Automation (EDA) and a digital twin to simulate every migration step before taking action.

Real-world cutovers, real-time confidence

One of the most powerful tools in this process was EDA’s ability to model changes ahead of time. The team could replicate their production state, simulate the effects of a configuration update or service move, and verify outcomes before anything went live.

This wasn’t a single feature. It was part of a new operating model: validate everything, execute with automation and monitor post-change behavior through telemetry. 

And it paid off.

In the deployments for their European data centers, Nokia IT migrated dozens of critical workloads without unplanned downtime. That includes a manufacturing application that used to crash every month in the old network due to brief connectivity blips. Post-migration? Zero complaints. Zero resets.

It wasn’t magic. It was planning, process and platforms working together. 

Scaling a repeatable model

What’s impressive is how quickly the initial deployments turned into a playbook.

The Nokia team applied these best practices to their US network migration and are preparing to migrate their data centers—across other regions. And they weren’t starting from scratch each time. They had a repeatable operating model built around: 

  • A validated architecture
  • A CI/CD pipeline for config changes
  • A digital twin for simulation
  • And a well-understood migration sequence 

Every migrated site followed the same structure: build the new fabric in parallel, run validation in EDA, move services incrementally and retire the legacy infrastructure only after success was confirmed.

This repeatability is what separates successful transformations from one-off projects. Nokia IT didn’t just survive the first migration—they learned from it, operationalized it and scaled it.

When operations become a strength 

What stands out most in this story is not the gear, or even the automation—it’s the operational maturity Nokia achieved in the process.

They went from an environment where engineers were hesitant to make changes—to one where deployments happen routinely, safely and with confidence. In fact, they now make changes more frequently than before, because automation and validation have removed the risk.

One team member described it this way: “We push the pipeline, press the button—done. No outage.” 

That kind of change in velocity simply wasn’t possible before. And it shows how infrastructure modernization can unlock more than just uptime—it can unleash the team.

Why this network migration matters 

Nokia’s data center transformation isn’t unique in its challenges. But it is unique in how it addressed them.

  • They didn’t wait for a clean slate—they built change into the fabric of their operations.
  • And they didn’t shy away from risk—they managed it, simulated it and neutralized it with process and platform alignment.  

This is what brownfield success looks like. 

Not flashy, but effective and precise. 

And in a world where IT is increasingly expected to deliver speed without sacrificing stability, Nokia’s story is a reminder that yes, you can modernize without breaking things—if you do it with the right strategy.

To dive deeper into the architecture, tools and migration practices behind Nokia IT team’s success, read the full report

This is the final blog in a series of three. To read the other posts, visit: data center networks blogs.

Mitch Ashley

About Mitch Ashley

Mitch Ashley, VP and Practice Lead, Software Lifecycle Engineering, The Futurum Group

Mitch Ashley has over 30+ years of experience as an entrepreneur, industry analyst, product development and IT leader, with expertise in software engineering, cybersecurity, DevOps, DevSecOps, cloud and AI. Mitch joined The Futurum Group in 2024 through the acquisition of Techstrong Group (devops.com, securityboulevard.com and techstrong.tv), where he served as CTO and founder of Techstrong Research.

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