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