Monitor and analyze user activity at scale to improve your digital experience and maximize lifetime value.

Improve your digital experience by analyzing user activity at scale

Self-service operational analytics at NTT
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Powering real-time analytics at BT
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Imply Demo - Network Monitoring at Scale
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Imply unifies your network signals into a real-time self-service analytics platform

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.

Where Imply can help

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Detect DDOS attacks

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Diagnose network performance issues

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Plan capacity and shape traffic

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Demo - Network performance monitoring at scale

Sr. Solutions Engineer Eric Graham shows off an Imply netwokr monitoring demo featuring streaming telemetry, Syslog, and pmacct.

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