Juniper Networks Delivers the Next Era of AI-Native Innovation with Expanded Client-to-Cloud Insights and Self-Driving Network™ Operations
- Marvis® Minis extends digital experience monitoring across the WAN and into cloud environments
- Marvis® Actions dashboard delivers targeted insights that elevate user and application performance
- Enhanced Marvis® Client software brings self-driving to the network with proactive actions and automation
“The Mist AI-native networking platform was purpose-built to converge AI and networking for exceptional operator and end user experiences,” said
Client-to-cloud experience twinning: The next frontier for Marvis Minis
With this enhancement, Marvis Minis digital experience twinning capabilities now proactively analyze user experiences end-to-end, from client-to-cloud to baseline and pinpoint exactly where application performance may be suffering. Marvis Minis now offers new service level expectations (SLEs) to deliver increased visibility into application performance across various levels, such as at site, across sites, regions, within an ISP, making troubleshooting faster and more efficient. With end-to-end monitoring, Marvis Minis now provides a comprehensive solution for identifying and resolving issues before they impact end user experience. Unlike traditional observability tools that require agents, sensors or customer-side deployment, Marvis Minis offers a fully seamless experience powered by AI.
“Marvis Minis has been a game changer for us by providing precise, proactive alerts about site issues. Through hourly synthetic tests on our network systems, we identify problems before customers arrive, giving us enough time to address and resolve them. By pinpointing the exact areas causing issues, we spend much less time and effort troubleshooting,” said
Marvis Actions dashboard: Visualizes and controls self-driving network operations
Aligned with Juniper’s vision of self-driving networks, Marvis AI Assistant proactively resolves network issues like VLAN misconfigurations and network loops, optimizes Radio Resource Management (RRM) and automates routine tasks such as policy updates firmware compliance, increasing overall efficiency. The new Marvis Actions dashboard view gives full control over when and how these self-driving network operations are enabled. It also provides a detailed history of all proactive actions, whether fully self-driving or assisted, along with insights into how Marvis AI Assistant identified and resolved each issue, empowering customers to manage their network on their terms.
Marvis Client: Empowering IT teams with client-side data
Marvis Client, an enhanced Marvis AI Assistant extension, uses client-side telemetry from Android®, Windows® and macOS® devices to provide deeper insights into user experiences. Rich data such as device type, operating system, radio hardware, firmware and connectivity metrics are transmitted in near real-time to the Mist cloud, where Marvis AI Assistant processes it to generate actionable insights. When these insights are further complemented by data collected from Juniper Access Points (AP), routers, switches and firewalls, IT teams can proactively address performance issues, improve troubleshooting and enable a consistently high-quality user experience. All of this is achieved without the need for additional software or hardware sensors, thereby minimizing cost and complexity and maximizing value.
“To overcome the increased complexity of highly distributed networks, organizations need to adopt self-driving networks and agentic AI technologies. These advances will enable increased operational efficiency, enhanced customer experiences and better business insights. It all starts with a comprehensive, granular understanding of the network, users and applications environment," said
Additional Resources:
Register Today: Juniper Demo Webinar | How Marvis Simplifies Network Management
Blog: New Marvis Capabilities Enhance Juniper AI Care Services
Marvis AI Assistant documentation
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