Network performance monitoring - NPM network link and access quality analysis

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What problems does network performance monitoring solve?

Turn invisible network paths into analyzable traffic, topology, and logs

Network performance monitoring brings network traffic across cloud, containers, hosts, and applications into a single view, filling in the inter-service call context that traditional network monitoring cannot cover, and helping teams locate latency, packet loss, abnormal connections, and dependency path issues. It is suitable for Kubernetes, microservices, multi-cloud, and hybrid infrastructure scenarios.

01Network data collectionCapture network metrics and connection information based on eBPF, without modifying application code.
02Topology and upstream and downstream analysisAutomatically presents real-time network relationships among hosts, pods, deployments, and services.
03Indicator alerts and positioningBuild monitors around latency, traffic, errors, and connection status to detect anomalies promptly.
04Web log analysisAssociate four-layer and seven-layer logs to view request paths, HTTP methods, and critical network events.

No need to modify application code; directly collect host and container network data

Collecting network connection, throughput, latency, and error data based on eBPF requires no modification of application code or the need to embed points in each service. Whether host, Pod, Deployment, Service, or cloud instances and container platforms, the same network observation view can be integrated, providing a foundation for subsequent topology analysis and alerts.

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No need to modify application code; directly collect host and container network data

Where exactly is the network getting stuck? Use topology to clearly see upstream and downstream and dependency paths

The system automatically maps the network topology among hosts, pods, deployments, and services, displaying real-time traffic directions and upstream and downstream relationships. When delays, packet loss, or abnormal connections occur, teams can first assess the impact range from topology, then drill into associated logs, links, and events, reducing the tug-of-war between "network and application issues."

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If traffic spikes or connection anomalies, they can be directly converted into monitors and alarms

Configure dashboards and monitors around network latency, traffic, connection count, errors, and service dependencies. When abnormal traffic occurs in a service, namespace, host, or region, Guance can group and locate them with unified tags, helping teams receive notifications before business is affected and quickly confirm their scope of responsibility.

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If traffic spikes or connection anomalies, they can be directly converted into monitors and alarms

When evidence is needed, BPF network logs are used to restore the request flow

BPF network logs record information such as connection, direction, port, protocol, and request path, supporting quick filtering by source, destination, host, pod, service, and other criteria. Layer 4 network logs can be linked to level 7 HTTP information, helping teams see methods, paths, and critical network events, providing traceable evidence for cross-service network issues.

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Frequently asked questions

What problems does network performance monitoring mainly solve?

Network performance monitoring is mainly used to identify latency, packet loss, abnormal connections, traffic spikes, and dependency path issues between hosts, pods, services, and cloud resources. Guance analyze network issues back into application and infrastructure contexts through eBPF, network topology, and BPF network logs.

Do I need to modify the application code to collect network data using eBPF?

No, it is not necessary. eBPF can collect connection, traffic, and network performance data at the system layer without relying on application code for pinning. Teams can first integrate basic network metrics and logs, then combine services, pods, hosts, and traces for correlation analysis.

What is the difference between network topology and BPF network logs?

Network topology is suitable for viewing traffic directions and dependencies among hosts, pods, deployments, and services from a holistic perspective; BPF network logs are suitable for drilling down specific connections, ports, protocols, request paths, and exceptions when evidence is needed; combining the two can move from overview to detail.

Is network performance monitoring suitable for Kubernetes scenarios?

Fitting. In Kubernetes environments, the relationships between Pods, Services, Deployments, and nodes are complex, and network issues are often difficult to reproduce. Guance can observe network status by namespace, workload, Pod, service, and host dimensions, and correlate container, log, and link data.

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