Network performance analytics aggregates telemetry from across your network infrastructure — circuits, devices, wireless, and cloud connectivity — to identify performance trends, predict capacity constraints, and quantify the user experience impact of network conditions.
Reactive network management — fixing problems after users complain — is expensive and damaging to IT credibility. Performance analytics enables proactive operations: identifying trends before they become incidents, planning capacity before constraints occur, and quantifying the business impact of network performance.
A structured advisory process — from discovery and market evaluation to vendor selection and post-deployment optimization — tailored to your specific environment and objectives.
We define your network analytics requirements — capacity planning, SLA reporting, application performance correlation, and the specific business questions analytics must answer — and map them to available telemetry sources.
We evaluate network analytics platforms — ThousandEyes, Kentik, Datadog NPM, Cisco Crosswork Network Insights, and others — against your use cases, data source integration requirements, and reporting needs.
Comprehensive analytics requires telemetry from diverse sources. We design the collection architecture — SNMP, streaming telemetry (gNMI/gRPC), flow data, synthetic monitoring, and cloud metrics — that provides the data foundation for analytics.
Analytics value is realized through operational dashboards and scheduled reports. We design the dashboard and reporting framework — operational views for NOC teams, capacity trend reports for planning, and SLA reports for management.
These are the dimensions that consistently separate successful network deployments from costly ones — and the questions RLM will help you answer before any commitment.
Passive monitoring measures actual traffic performance; synthetic monitoring tests network paths proactively from specific vantage points. Evaluate both approaches — synthetic monitoring catches performance problems before users generate traffic.
Network performance metrics are most valuable when correlated with application performance. Evaluate the platform's ability to correlate network conditions with application response time measurements.
Network capacity planning requires historical trending with seasonal decomposition. Evaluate the accuracy of capacity forecasts against actual growth and the lead time required to provision additional capacity.
Network SLA measurement requires consistent, reproducible measurement methodology. Evaluate the SLA reporting capability and the independence of measurement from carrier-provided data.
Statistical anomaly detection is only valuable when the model accurately represents normal behavior. Evaluate the training period required and the false positive rate in your specific environment.
Network performance analytics must translate into business-relevant reporting. Evaluate the available report templates and the ability to create custom executive-level reports that communicate network health in business terms.
"RLM gave us an objective view of our network options that no single vendor could. We replaced aging MPLS across 40 locations and came in 28% under our original budget."
"The RLM team understood our network complexity from day one. Their vendor-neutral approach helped us find the right solution — not just the one with the biggest marketing budget."
Start with a no-cost conversation with an RLM network advisor — vendor neutral, no agenda, just clarity on the right path forward for your environment.
Speak to a Network Advisor