"Enhanced root cause analysis- When issues occur, having access to complete, unsampled data dramatically improves your ability to identify root causes and troubleshoot issuesquickly. Instead of extrapolating from sampled data points, your team can analyze the full context of system behavior leading up to and during incidents. Eliminating cardinality constraints- Teams can focus on analysis of key historical data to predict and prevent future occurrences rather than complex data preprocessing, multiple monitoring tiers, or custom aggregation logic."
"By removing constraints around ingesting high-cardinality data and providing an easy to use UI to keep costs predictable and manageable, New Relic's approach enables you to: Scale without compromise: Add new network segments, devices, or monitoring dimensions without worrying about hitting cardinality limits or facing cost escalations. Ingest complete telemetry: Collect metrics from every network device and interface without sampling or aggregation. This includes SNMP metrics, flow data, and syslog information across your entire infrastructure."
Access to complete, unsampled telemetry improves root cause identification and accelerates troubleshooting by revealing the full context of system behavior before and during incidents. Removing cardinality constraints shifts effort from complex preprocessing and multi-tier monitoring to analysis of historical data for prediction and prevention. A constraint-free ingestion model plus an easy-to-use UI keeps costs predictable while enabling growth across network segments, devices, and monitoring dimensions. Full telemetry ingestion supports SNMP, flow data, and syslog from every device and interface, enabling interface-level analysis of bandwidth, packet loss, error rates, and traffic patterns. Pre-built dashboards visualize ingest and cardinality patterns for comprehensive coverage and operational insight.
Read at New Relic
Unable to calculate read time
Collection
[
|
...
]