Imply gives you a single pane of glass to unify all your network data to quickly detect, diagnose and fix network problems. It’s a real-time analytics platform, so you get up-to-the second data visibility across a diverse range of streaming and batch-oriented sources. Through a drag-and-drop interface it alerts you to anomalies and lets you diagnose issues by interactively analyzing data across hundreds of dimensions.
Visibility from End-to-end and top-to-bottom
Monitor and correlate network flows from numerous sources, WAN data (BGP and MPLS), endpoint data (CPE, customer-owned devices), SDN data (VRS, signal to noise ratio and CMTS/Headend data statistics.
Self-service analytics for network operations
Imply’s sub-second query speed makes it possible for users to visually explore network data through the Imply Pivot analytics UI or your own in-house application. Non-technical users can drill-down and slice/dice data to diagnose issues or reveal insights with fluidity.
Cost effective and performant at scale
Imply leverages Druid’s ability to roll up raw data at ingestion time to substantially reduce the amount of data that needs to be stored for queries. In existing production clusters, netflow data stored in Druid is up to 1000x less than the raw data ingested. This leads to substantial storage savings and direct performance benefits.
Sr. Solutions Engineer Eric Graham shows off an Imply netwokr monitoring demo featuring streaming telemetry, Syslog, and pmacct.