Bridge the Gap: Fusing Nutanix Resilience with Pure Storage Intelligence via Aura-Ops AI

For over 15 years, infrastructure teams have battled the “whack-a-mole” cycle of capacity alerts. The scenario is universal: an application leaks data, the array hits a 90% threshold, and by the time a manual snapshot is triggered, the filesystem is already read-only. Reactive infrastructure creates unnecessary risk. Aura-Ops was engineered to break this cycle by fusing AI intelligence with automated remediation.

This isn’t just another dashboard. It’s a “Fusion Layer” that correlates Pure Storage telemetry with Nutanix snapshot capabilities using LLM-driven predictive logic. We are moving from “monitoring” to “predictive remediation.”

Key Takeaways

• Predictive vs. Reactive: Uses Mistral AI to forecast capacity exhaustion before the hardware alerts trigger.
• Self-Service Lab: Locally stored browser credentials allow SEs to test live arrays without exposing secrets to a database.
• Operational Resilience: Automates Nutanix-consistent snapshots via Pure Storage REST API calls.
• Day 2 Ready: Built-in roadmap for migrating from a CSV-simulated PoC to a production-grade PostgreSQL/Vault architecture.

Day 2 Operations: The Storage Drift Problem

Storage drift is the silent killer of SLAs. In a typical Nutanix environment backed by Pure Storage, the “drift” often happens at the application layer but manifests at the block layer.

I’ve seen architects try to solve this with generic scripts, but they lack context. Aura-Ops solves this by feeding 30 days of telemetry into an AI engine that understands that a 23% increase in 30 days isn’t just a trend—it’s a critical threat to the Nutanix cluster’s metadata health.

Visual Engineering: Feature Matrix

If you’re deciding between standard monitoring and an AI Fusion layer, here is how the metrics stack up:

CapEx vs. OpEx: The Financial Reality

Let’s talk money. Buying more disks is a CapEx hit that most CFOs want to defer. Aura-Ops allows you to optimize your existing “all-flash” investment by managing thin provisioning more aggressively.

• CapEx Implications: By utilizing predictive snapshots, you can safely run arrays at higher utilization rates, deferring the need for new expansion shelves.
• OpEx Impact: Automating “resilience validation” reduces the labor hours required for storage auditing, which frees your SEs for higher-value architectural work.
• Licensing: Aura-Ops leverages open-weight models (Mistral) and standard REST APIs, avoiding the “vendor tax” often found in premium AIOps plugins.

Technical Schematic: The “Self-Healing” Workflow

When you click “Execute Healing,” you aren’t just running a script. You are engaging a specific state machine:

1. Context Injection: The app pulls your Lab IP and Token from localStorage.
2. POST Trigger: A secure request hits the /api/heal route handler.
3. API Handshake: The backend performs a REST call to the Pure Storage Purity OS.
4. Verification: The AI validates the snapshotID against the Nutanix protection domain requirements.

If you’re currently dealing with complex hypervisor migrations while trying to keep storage stable, check out our NSX-T to Nutanix Flow Migration Guide to see how we handle networking with the same level of architectural rigor.

Technical Readme: Bring Your Own Infrastructure (BYOI)

The “Test Drive” mode is my favorite feature. I’ve seen too many tools demand a full database connection just for a demo. With the Configure Environment module, you provide:

1. FlashArray IP: Point the app to your lab.
2. API Token: Authorize the snapshot command.

The data stays in your browser. If you refresh, it’s there. If you clear cache, it’s gone. Total privacy for Solution Engineers who need to prove the tech without the paperwork.

Additional Resources:

To validate the “Production Roadmap” we’ve built into the app, I recommend reviewing these primary sources: