400,000 Devices. One Instance. What True Enterprise Scale Looks Like with Nautobot

“Enterprise-grade” is one of the most overused phrases in enterprise software. Every vendor claims it. Most don’t earn it.

For network automation platforms, the gap between claiming enterprise-grade and actually being enterprise-grade is wider than most IT leaders realize — and the consequences of choosing the wrong side of that gap are significant. We’ve had candid conversations with engineering teams who inherited platforms that looked capable during evaluation, only to find that 18 months into deployment, they were hitting hard scale limits, fighting unexpected breaking changes after routine updates, and discovering that the app or plugin they’d built a workflow around was no longer maintained. Not because the technology failed. Because the platform was never designed for the demands of a true enterprise environment in the first place.

Nautobot was. Here’s what that actually means.

Scale That Matches the Largest Enterprises on the Planet

Let’s start where the gap is most visible: raw scale.

Most network automation platforms begin to struggle somewhere around 15,000 devices in a single instance. Database performance degrades. API response times slow. UI queries time out. At that threshold, large organizations find themselves making architectural compromises — splitting environments, standing up multiple instances, building workarounds — just to keep the platform functional. Intel’s own engineering team documented exactly this experience before choosing Nautobot, describing how their previous orchestration platform

“could scale only to a certain number of network devices”

This limitation forced Intel to add VM clusters as their network grew, adding complexity and cost — a challenge detailed in Intel’s SDN white paper. Those compromises embed operational friction, erode data consistency, and quietly undermine the whole point of having a source of truth.

Nautobot is built differently. Today, NTC has six customers managing more than 100,000 devices in a single Nautobot instance. One of the largest banks in the United States runs Nautobot at over 200,000 devices — tracking asset refresh dates, automating firewall rule analysis, and deploying network services in hours instead of weeks. A major telecom provider manages over 400,000 devices and hundreds of millions of objects — IP addresses, locations, circuits, and more — in a single instance. No other platform on the market operates at this scale, and none have validated their architecture against workloads of this magnitude.

It’s a distinction that enterprise buyers are increasingly attuned to. As one prospect put it directly during a recent evaluation: 

“Nautobot explicitly has sync in and out to have all the latest data so it can be referenced as the source of truth.”

Scale without data integrity isn’t scale — it’s a larger version of the same problem.

We regularly hear from network teams that have outgrown a variety of inventory, network source of truth, and automation platforms. As environments become more dynamic and automation initiatives expand, maintaining data quality, performance, and operational consistency at scale becomes increasingly difficult.

For an IT leader evaluating platforms today, the scale question isn’t just about where you are now. It’s about where your network will be in three years, and whether the platform you choose can grow alongside it without forcing a painful migration.

Software Stability You Can Actually Plan Around

Here’s a scenario that plays out repeatedly with platforms that rely on community contributions for development: an engineer updates the platform to a new version. Something breaks. A workflow fails. A dashboard stops rendering. An integration goes dark. After several hours of investigation, the team discovers that a function changed in the new release — undocumented, unannounced, and unexpected.

This is the real-world consequence of platforms without disciplined software engineering practices.

Nautobot follows strict semantic versioning — and has done so from day one. What that means in practice: breaking changes only occur in major releases (for example, moving from 2.x to 3.x). They never appear quietly in minor or patch updates. Every breaking change is documented well in advance, communicated clearly to customers, and supported with migration tooling or guidance to resolve the impact. Your team knows what’s coming, why it’s changing, and exactly how to prepare.

This isn’t a small operational detail. For an enterprise running network automation across thousands of devices with change control processes, compliance requirements, and team workflows built on platform behavior, predictability isn’t a nice-to-have. It’s a requirement. Nautobot delivers it. Many alternatives in this space do not. As one Nautobot customer put it in their Gartner Peer Insights review:

“Stable code is released on a steady cadence with consistent improvements — bugs are not common.”

That’s not an accident. It’s the result of disciplined engineering practices applied consistently over time.

An App Ecosystem Built and Maintained by the Same Team That Built the Platform

Every mature automation platform needs a robust ecosystem of apps and integrations. The question isn’t whether those apps exist — it’s who builds them, who maintains them, and what happens when something breaks.

Some platforms in this space rely on open source community contributions and bounty programs to develop their plugin and extension ecosystems. The result is predictable: apps built by different teams using different standards, plugin compatibility that lags behind core platform releases, and tools that quietly go unmaintained when the original contributor moves on. When something breaks at the intersection of the core platform and a community-built plugin, support is limited at best — and often completely absent.

NTC develops, maintains, and supports all 20+ Nautobot apps using the same engineering team and the same semantic versioning standards as the core platform. Every app is built to solve a real customer challenge — most of them originated from actual customer requirements, which is why they’re useful rather than theoretical. Apps like Golden Config — which automates drift control, configuration compliance, backup, and remediation — Device Lifecycle Management, which tracks EOL dates, CVEs, and approved software versions, Device Discovery, OS Upgrades, and the Single Source of Truth framework for syncing and validating data across your tool ecosystem are all developed, versioned, and supported by NTC. When Nautobot releases a new version, the apps are updated in lockstep. When you open a support ticket, the person on the other end has expertise in the entire stack.

That’s not the norm in this industry. It should be.

Support That Covers Your Entire Automation Stack — Not Just Ours

Enterprise support means different things to different vendors. For most, it means a ticketing system, an SLA, and a team that knows their own software. For NTC, it means something considerably broader.

Every Nautobot customer — across Professional, Enterprise, and Cloud editions — receives the same 100% commitment and focus through Nautobot’s enterprise support. No tiered attention. No deprioritized queues. And critically, NTC support doesn’t stop at the edge of our own software.

Network automation rarely runs in isolation. Customers deploy Nautobot alongside open source tools like Ansible, Nornir, and Batfish; they integrate with monitoring platforms, ITSM systems, and CI/CD pipelines; they build workflows that span multiple vendors and technologies. NTC support covers that full stack. Our team includes experienced NetDevOps professionals who know how to design, deploy, and operate network automation in production — not just how to troubleshoot our software.

And when customers need to go deeper — custom integrations, new automation development, CI/CD pipeline design, or building the internal practices to sustain a long-term automation program — NTC’s Professional Services team is the largest concentration of experienced network automation engineers in the industry. They’ve built production automation for some of the most complex network environments on the planet. They’re available to your team.

It’s a reality many enterprise teams recognize early. As one customer acknowledged before engaging NTC:

“One of the biggest differentiators between Nautobot and NetBox is that Network to Code offers professional services and NetBox doesn’t”

That’s not a weakness — it’s the pragmatic self-awareness that separates successful automation programs from stalled ones. And it’s exactly why we built our services and support model the way we did.