Auvik Network Management / Use Cases / Network Analysis Software

Auvik Network Analysis Tool

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Learn more about network analysis at Auvik

What is a network path, and how can Auvik help?

A network path is the route that data packets travel from a source device to a destination across your network infrastructure, passing through routers, switches, and other devices along the way. Auvik’s Northstar feature visualizes these paths in real time, showing you every hop between any two devices on your network. You get performance metrics at each step, so when something goes wrong, you can pinpoint exactly where.

Does Auvik provide end-to-end and hop-by-hop visibility for critical paths, or only device-level metrics?

Our platform provides both. Auvik maps the complete end-to-end path between devices and displays hop-by-hop metrics, including CPU, memory, packet discards, transfer speeds, and interface status at each point along the route. This means you’re not limited to isolated device data. You see how the entire path is performing, so you can isolate issues faster.

How noisy are the alerts, and how configurable are thresholds, suppressions, and maintenance windows?

Auvik is designed to cut through the noise, not add to it. You can customize thresholds, set occurrence delays (so alerts only fire after multiple failures), and use site-level suppression to control frequency. Auvik automatically groups related downstream alerts when a core device fails, so you see the root cause instead of dozens of symptoms. Many organizations see 30 to 40% fewer alerts, with some reducing volume by up to 80%.

How strong are integrations for workflows (ITSM/PSA, Slack/Teams, SIEM), and can we automate responses?

Auvik integrates directly with major platforms, including ServiceNow, ConnectWise, Datto Autotask, Slack, Microsoft Teams, PagerDuty, and Opsgenie. Alerts can automatically create tickets, route notifications to specific teams, and sync status updates back to Auvik. Webhook support lets you build custom integrations for automated response workflows tailored to your environment.

What types of traffic flow data does Auvik collect, and how long is historical data retained?

TrafficInsights collects NetFlow v5/v9, J-Flow, IPFIX, and sFlow data from compatible network devices. Flow data is retained for 14 days, giving you enough history for forensic analysis and identifying recurring patterns. For longer-term trending, device statistics are retained for months or years, depending on your subscription level.

Can Auvik identify which applications are consuming bandwidth, and how granular is the visibility?

Yes, and it works even with encrypted traffic. Our machine learning classification identifies specific applications like Dropbox, Netflix, Slack, and Zoom based on flow patterns and metadata. You can drill down to see top talkers by source address, destination address, port, and conversation, giving you the granularity to pinpoint exactly who and what is consuming your bandwidth.

What latency and jitter thresholds should I set for VoIP and video conferencing applications?

Industry guidelines commonly recommend keeping one-way latency under 150ms (round-trip under 300ms) and jitter under 30ms for acceptable VoIP quality. For video conferencing, staying under 100ms latency and 15ms jitter typically delivers noticeably better performance. Auvik lets you configure custom alert thresholds based on these targets so you’re notified before degradation impacts call quality.

How far back can I analyze bandwidth trends for capacity planning purposes?

Flow data in TrafficInsights is retained for 14 days for detailed analysis of traffic patterns and top talkers. For longer-term capacity planning, device-level performance statistics, including bandwidth utilization, interface throughput, and historical trends, are retained for months to over a year, depending on your subscription. This gives you the historical context to identify growth trajectories and justify infrastructure investments.