Nutanix Design Assistant Update
- John Goulden
- Apr 14
- 2 min read

Earlier this year, I introduced something I’d been working on behind the scenes a GPT-powered assistant built to navigate the complexity of Nutanix infrastructure.
It started as a way to simplify blueprinting, simulate DR, troubleshoot clusters, and automate Flow governance. But the truth is it’s evolving into something much bigger.
Give the Nutanix Design Assistant a try and I’d love to hear your feedback on how it performs in real-world scenarios or what you'd like to see next.
This article builds on ideas from my original post, where I first introduced the Nutanix Design Assistant a GPT-powered helper designed to simplify Nutanix infrastructure.
Since then, it’s grown into a true AI co-pilot smarter, faster, and capable of doing so much more. Let’s dive into what’s new in the 2025 edition.
From Helper to Co-Pilot
Today, the Nutanix Design Assistant isn’t just reactive it’s thinking ahead. It learns from telemetry, simulates changes, predicts failures, and helps you design resilient, secure, cost-aware systems before you even click “deploy.”
Here’s what’s new in the latest version:
Smarter Troubleshooting (Like... Actually Smart)
Ask it “Why is VM-X unreachable?” it’ll walk through Flow logs, configs, and telemetry like a human.
Rewind time with Time Travel Mode to see what broke and when.
Guided troubleshooting labs let you train teams or simulate failures before they hit production.
Drift detection now tells you exactly what changed (and how to fix it).
Safer Changes, Fewer Surprises
The Proactive Change Simulator shows you the impact of config changes before pushing them.
Tenant Isolation Analyzer helps MSPs validate network/storage segregation visually.
Dev-Ready + Cloud-Smart
Calm blueprints can now be auto-optimized based on spot pricing, latency, and DR cost.
The Plugin SDK lets you add your own micro-tools, CLI extensions, even UI widgets.
Federated GPTs let you run this assistant per tenant, per cluster, with local smarts + central governance.
And of course, all the OG stuff is still there:
Calm blueprint builder (from chat, YAML, or PDF)
DR planning with rollback logic
Zero trust Flow Composer
App-aware cost + licensing sims
Edge-ready microGPTs, GitOps-friendly output, and full PC/Calm/Flow/Leap integration
So, Why Does This Matter?
Because managing modern infrastructure isn’t just about uptime. It’s about knowing what’s coming, fixing what broke, and designing for scale, security, and cost all at once.
This assistant is a co-pilot. It doesn’t just help you do it helps you decide.
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