What Is Network Telemetry?
Network telemetry is the continuous collection and analysis of operational data generated by network infrastructure, applications and connected devices. Modern switches, routers, wireless controllers and cloud platforms constantly generate information about traffic flows, device health, routing activity, application performance and user connectivity.
Unlike traditional monitoring tools that periodically poll devices for status information, model-driven telemetry continuously streams operational data as network conditions change. That provides IT teams with near real-time visibility into how the network is performing and how users, devices and applications interact.
DeWeese explained that model-driven telemetry allows organizations to collect significantly more operational data while placing less processing overhead on network devices than traditional polling methods. She encouraged organizations to think of telemetry as an incremental journey rather than an all-or-nothing migration from SNMP.
Continuous telemetry also creates opportunities beyond network management. The same operational data can support observability platforms, security analytics, automation tools and AI assistants that help identify anomalies, prioritize incidents and recommend corrective actions.
Why Conventional Monitoring Falls Short in Government
For decades, many government organizations have relied on SNMP to monitor network infrastructure.
SNMP remains an important tool for collecting device health information, such as processor utilization, memory consumption and interface status. However, today’s government networks are far more dynamic than the environments SNMP was originally designed to monitor.
Cloud workloads scale on demand. Employees connect remotely from multiple locations. Public safety agencies rely on mobile devices. Transportation systems, utilities and other critical infrastructure increasingly depend on connected sensors and operational technology.
Polling devices every few minutes can miss important operational changes occurring between collection intervals.
Cisco Senior Solutions Engineer Rafael Ceara Batlle called streaming telemetry “a completely different shift in the way of monitoring your infrastructure,” explaining that it replaces fragmented monitoring approaches with continuous operational visibility capable of scaling across thousands of devices and sites.
For government IT leaders managing hybrid environments with limited staff, that additional visibility can simplify troubleshooting while helping teams identify issues before they affect citizens or agency employees.
LEARN MORE: Network resilience that keeps you online when it matters most.
How Network Telemetry Strengthens Cybersecurity
Effective cybersecurity begins with visibility.
Security teams cannot investigate activity they cannot see, nor can they respond quickly to attacks without understanding how users, devices and applications communicate across the network.
Network telemetry provides that visibility by continuously collecting operational data that helps analysts identify unusual behavior, investigate suspicious traffic and reconstruct security incidents.
Luis Velazquez, secure network analytics escalation engineer for Cisco, explained that secure network analytics flow collectors normalize telemetry, remove duplicate records and stitch individual flow packets into complete network conversations rather than isolated traffic. The result is higher-quality operational data that gives analysts a clearer understanding of network activity while improving the effectiveness of security analytics.
Velazquez also noted that incomplete, malformed or duplicate telemetry can reduce visibility, delay investigations and consume unnecessary processing and licensing resources. Monitoring telemetry quality, he said, is essential to ensuring security tools receive complete and accurate operational data.
For agencies facing persistent cybersecurity staffing shortages, richer network visibility can reduce investigation time, improve incident response and help security teams focus on higher-priority threats.
What Data Does Network Telemetry Collect?
No single telemetry source tells the whole story. Instead, agencies combine several types of operational data to build a comprehensive view of network activity.
Flow records
Flow technologies, such as Cisco’s NetFlow and IPFIX, summarize communications between devices, identifying where traffic originated, where it traveled and how much data was exchanged. Flow records provide valuable insight into traffic patterns without capturing every packet.
Device health and operational metrics
Streaming telemetry continuously reports information such as interface utilization, processor activity, memory usage, wireless performance, routing behavior and application health. These metrics help IT teams identify developing problems before they become service disruptions.
Logs
Network devices, applications and security tools generate logs documenting authentication attempts, configuration changes, software errors and other operational events. Combined with telemetry, logs provide additional context for troubleshooting and forensic investigations.
Packet capture
Packet capture records actual network communications and provides the deepest level of visibility during incident response. Many organizations reserve packet capture for high-value systems or forensic investigations while relying on flow records and streaming telemetry for continuous monitoring.
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