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.

Faster and more flexible than TSDBs

Go beyond time-based queries for factories, field equipment and smart devices. Predict and prevent line or field outages. Analyze sensor data for trends and anomalies.

Virtually infinite cardinality

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Imply unlocks the power of the Apache Druid analytics database, which enables workflows with device and server metrics beyond whats possible with a traditional timeseries database.

Sub-second response on diverse interactive queries

Unlike many timeseries databases (TSDBs), Imply is an analytics engine at heart, and combines architectural concepts from timeseries databases, column-oriented analytic databases, and logging/monitoring solutions. It combines time-based partitioning, column-oriented storage, and search indexes in a single system. This means time-based queries, numerical aggregations, and search and filter queries are extremely fast.

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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