Features:

Streaming Telemetry with a Modern Data Stack for Advanced Analytics

RUCKUS Analytics is designed for the unique data profilegenerated by network devices. On-premises controllers securelyconnect to the cloud and stream lightweight health KPIs andtelemetry. The high-performance data stack ingests and processesthe data to serve as the basis for queries, reports and baselinemetrics.

Network Health Monitoring

The service lets you easily monitor network health, with anoverview tab that provides a high-level summary view. Selectother health monitoring tabs to view metrics in specific healthcategories: connection, performance and infrastructure. Networkhealth monitoring gives you instant visibility into metrics like APservice uptime, time to connect, connection success rate, clientthroughput and more. You define the service levels that you wantto measure against. For example, you might want to set the œtimeto connect goal at five seconds”RUCKUS Analytics will tell youwhat percentage of the time the network meets that goal. Theservice lets you not only monitor”but also readily demonstrate toothers in your organization”performance to SLAs.

Incident Analytics Powered by Machine Learning

RUCKUS Analytics enables machine-assisted proactive networkingfor your RUCKUS deployment. It automatically establishes anormal range of behavior for each network element, withoutrequiring any input from IT. Then it uses machine learning toautomatically identify service incidents related to connectivity,performance and infrastructure that affect user experience. ITadministrators can view incidents by type, severity and impact.

The system provides details for each incident including:

• Root cause and recommended action
• Affected areas (client operating system types, access point models, firmware versions, WLANs and more)
• Other impact details, including severity, client impact and duration
• List of impacted clients
• Presentation of the underlying data that drives the incident

Powerful Client Troubleshooting

With simple and flexible search and a holistic clienttroubleshooting page, RUCKUS Analytics gives you a completepicture of client experience for easy connectivity and userexperience diagnostics, including:

• Successful, slow and failed connections
• Disconnect events
• Roaming events and failed roams
• Connection quality (RSSI, MCS, client throughput)
• Network incidents affecting users, with links to see incident details

Prepackaged Reports and Dashboards

A wide variety of standardized reports provides visibility intonetwork performance, traffic patterns, application usage andmore. Summary views provide high-level information, and youcan drill down to the level of individual network components anddevices. Examples of standardized reports include:

• Network”traffic and client trends, top devices, top SSIDs,traffic distribution and more
• Client”reports by OS and device manufacturer, top clients by usage, client trends, session details and more
• Inventory”AP, switch and controller count, models, firmware, status, and more
• Application”top apps and their usage trends, top app groups and usage, top ports and more
• Device-specific reports”complete visibility and usage reports for clients, APs and switches

The service lets you download reports as raw data, a PDF file or aCSV file. Forward the results to stakeholders inside or outside theorganization.

Automatic service validation

RUCKUS Analytics works with your RUCKUS network toautomatically validate service levels without the need for overlaysensors. Access points act as virtual clients to identify possibleservice disruptions, often before they affect users. The system canperform a variety of tests, including:

• WLAN, LAN and WAN connectivity
• EAP, RADIUS, DHCP and DNS
• Ping, traceroute and speed test (upload/download)

Melissa”your own AI-powered virtual networkassistant

RUCKUS Analytics includes a powerful AI-powered virtual networkassistant called Melissa. Combining an intuitive interface withadvanced natural language processing, Melissa determines theadministrator™s intent in posing a wide variety of inquiries anddelivers highly insightful responses. IT teams save valuable timewith ready access to information that helps them manage networkoperations”without the need for any coding.

IT service management integration

RUCKUS Analytics integrates closely with leading IT servicemanagement (ITSM) products from ServiceNow and Salesforce toinitiate helpdesk tickets automatically and let IT get a head startin resolving them. This ensures that, when a service issue occurs,it is flagged for the helpdesk to address. Without such a system inplace many issues that affect user experience go unreported.

Data Explorer”custom dashboards, datavisualizations and more

The RUCKUS Analytics Data Explorer tool lets you create customdashboards to dissect and analyze data from your networkecosystem. Drag-and-drop dashboard creation makes it easy todesign views tailored to your needs. You can easily position andreposition dashboard tiles, edit tiles at will and toggle betweendifferent views.

Analyze and filter data by dozens of dimensions”including time,device type, traffic type, application, AP group, controller, accesspoint, band, SSID and more. Use multiple visualization methodsto view your data, including pivot tables, line charts, bar charts,sunbursts, Sankey diagrams, stacked charts and heat maps. DataExplorer puts your full network data warehouse at your fingertipsso you can answer any number of network questions.

Cloud Deployment for Scalability and Expandability

As a hosted service, RUCKUS Analytics relieves you of the burden of managing an in-house network analytics platform. Because the system stores data in the cloud, capacity is virtually limitless and expands instantly as your network environment generates more data. You don™t have to worry about running out of capacity, forecasting disk utilization or figuring out when to add resources. RUCKUS Analytics does that for you transparently using containers and microservice orchestration. The software does not require an on-site data collector.