When an application is slow, the network is often blamed first. Network observability gives teams the evidence to find the real cause — quickly — across data centres, clouds, branches and the internet paths in between.
What to collect
- Device telemetry: interface utilisation, errors and health, ideally via streaming telemetry rather than slow polling.
- Flow data: who is talking to whom, using protocols such as NetFlow or IPFIX.
- Synthetic tests: scheduled probes that measure latency, loss and availability to key applications.
- Path visibility: how traffic traverses ISPs and cloud networks you do not control.
- Configuration and change events: what changed, and when.
Use the data
Baseline normal behaviour, alert on meaningful deviations and correlate network data with application performance. When a user reports a problem, teams should be able to see whether the issue lies in Wi-Fi, the WAN, the internet path or the application itself.
Automate where possible
Automated configuration backups, compliance checks and change verification reduce outages caused by human error, one of the most common sources of network incidents.
5 best practices for network observability
- Collect streaming telemetry. Replace slow polling with streaming telemetry from modern devices for near real-time visibility.
- Combine data sources. Correlate device metrics, flow records, logs, packet data and synthetic tests to understand both cause and impact.
- Monitor paths you do not own. Internet, SaaS and cloud provider paths affect users; use synthetic monitoring and path analysis to see them.
- Measure user experience. Track application response time and call quality from the user’s perspective, not just interface utilisation.
- Automate response. Link insights to automated diagnostics and remediation workflows to reduce mean time to resolution.
From monitoring to observability
Traditional network monitoring checks whether devices and links are up. Observability correlates rich data so engineers can ask new questions, such as why video calls from one branch degrade only in the afternoon, without deploying new tools during an incident.
Common mistakes to avoid
- Collecting large volumes of telemetry without clear use cases or retention policies.
- Keeping network data separate from application and infrastructure observability.
- Alerting on every threshold rather than on user-impacting conditions.
Frequently asked questions
What is the difference between flow data and packet capture?
Flow data summarises conversations between endpoints; packet capture records full packet contents for detailed troubleshooting, at much higher storage cost.
Can AI help network operations?
AI can detect anomalies and correlate events, but it relies on clean, comprehensive telemetry.
A 90-day action plan
Days 1 to 30: list the user-facing services that depend most on the network, review recent incidents and identify where visibility was missing.
Days 31 to 60: enable streaming telemetry and flow export on core devices, deploy synthetic tests to key SaaS and cloud destinations, and centralise the results.
Days 61 to 90: correlate network signals with application monitoring, tune alerts around user impact and measure improvements in detection and resolution times.
Questions to ask vendors
- Which telemetry formats and device platforms are supported?
- Can the platform show internet and cloud provider paths?
- How long is information retained, and how is storage priced?
- What automation and integration with ticketing tools is available?
- How does it share context with application and infrastructure teams?
Key terms explained
- Streaming telemetry: devices pushing performance information continuously rather than being polled.
- Flow record: a summary of traffic between two endpoints.
- Synthetic test: an automated transaction that measures performance from a chosen location.
- Mean time to resolution: the average time taken to fix an incident.
The bottom line
Users judge the network by whether applications work, not by device uptime. Rich, correlated telemetry from devices, flows, synthetic tests and internet paths lets teams find the root cause of problems quickly and often fix them before users notice. Start with the services that matter most, connect network insight with application and infrastructure monitoring, and focus alerts on user impact. Over time, this approach shortens incidents, reduces finger-pointing between teams and builds confidence in the network.
Further reading on network observability
For authoritative, vendor-neutral guidance on network observability, see IETF RFC 7011 (IPFIX). You can also browse our free whitepapers.
