Intermediate

Marvis Virtual Network Assistant

Learn how Marvis VNA uses natural language processing, proactive anomaly detection, and AI-driven root cause analysis to make network troubleshooting conversational and intelligent.

What Is Marvis?

Marvis is Juniper's Virtual Network Assistant that acts as an AI-powered network expert. It provides natural language interaction for troubleshooting, proactively surfaces issues, and delivers root cause analysis with recommended actions.

Marvis Capabilities

FeatureHow It WorksExample
Natural Language QueriesNLP parses questions and retrieves relevant data"Why is John's laptop disconnecting?"
Proactive ActionsAI detects issues and surfaces them automaticallyAlerts about failing DHCP server before tickets arise
Root Cause AnalysisCorrelates events across layers to find true causeIdentifies RADIUS timeout causing auth failures
Action SuggestionsRecommends specific remediation steps"Increase DHCP scope on server 10.1.1.5"

Marvis Actions Framework

  1. Anomaly Detection

    Marvis continuously monitors Service Level Expectations (SLEs) and flags deviations. Each anomaly is classified by type: connectivity, throughput, roaming, or application.

  2. Impact Assessment

    For each detected issue, Marvis quantifies impact: how many users affected, which sites, what time period, and the severity based on SLE degradation.

  3. Root Cause Identification

    AI traces from symptom to cause across the full stack: client, AP, switch, RADIUS, DHCP, DNS, and internet path.

  4. Remediation Recommendation

    Marvis provides actionable recommendations with context, including configuration changes, infrastructure upgrades, or vendor escalation guidance.

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Practical Tip: Check the Marvis Actions dashboard daily. It provides a prioritized list of issues affecting your network, ranked by user impact, so you can focus on what matters most.

Advanced Marvis Features

Marvis Minis

Lightweight AI agents that monitor specific aspects of your network and report findings to the main Marvis engine for correlation.

Conversational Troubleshooting

Ask follow-up questions naturally. Marvis maintains context across a conversation, drilling deeper into issues as you ask.

Historical Analysis

Query past incidents and trends. Marvis can analyze what happened during specific time windows and compare against baselines.

Cross-Domain Correlation

Marvis correlates issues across wireless, wired, and WAN domains, identifying cases where a switch problem causes wireless symptoms.

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Looking Ahead: In the next lesson, we will explore AI-driven wireless optimization, including dynamic RRM, roaming intelligence, and client experience scoring.