Nokia Core Monitor and Troubleshooter

Gain clear operational insight to anticipate network behavior and keep cloud native 5G core operations on track

Give operations teams a clearer way to understand what is happening across the cloud native 5G core. Core Monitor & Troubleshooter brings monitoring, data correlation, diagnostics and guided resolution into one operational view, helping teams work faster and with more confidence.

Teams can follow what is happening across core network functions, Kubernetes and the underlying cloud infrastructure from one place, with connected data and guided workflows to support faster decisions.

The product uses open source based observability technologies, enriched with core network specific artefacts such as dashboards, filters, health checks and AI driven analysis models. This turns scattered alarms and logs into a clearer view of network health, service impact and likely root cause.

Key differentiators:

One operational view across core functions and cloud infrastructure
AI driven analysis to detect anomalies and support faster root cause identification
Open architecture based on widely adopted observability technologies
Guided and automated repair recommendations to reduce manual troubleshooting work
Subscriber level insight to understand how issues affect users and services

The challenge it solves

Cloud native core networks are more dynamic, distributed and software driven than traditional core environments. Network functions scale up and down, components run across shared cloud infrastructure, and operational data comes from many different layers.

This makes issues harder to see and understand. A service problem may appear as an alarm in one place, a performance deviation somewhere else, and a log pattern in another system. Engineers often need to stitch this data together manually before they can decide what to do.

Core Monitor & Troubleshooter addresses this complexity by connecting signals across core functions and cloud layers. It correlates alarms, logs, metrics, traces and health checks, helping teams see the full operational picture instead of isolated symptoms.

As networks move toward higher levels of automation, this visibility becomes essential. Operators need to understand what is happening before they automate actions. Core Monitor & Troubleshooter supports this shift by helping teams move from reactive troubleshooting toward proactive and controlled closed loop operations.

Key benefits

Resolve issues faster

Move from alarm to likely root cause with correlated data, guided workflows and subscriber level visibility. Teams spend less time collecting evidence and more time fixing the issue.

Reduce manual work

Automate repetitive diagnostics, health checks, artefact collection and standard remediation steps. This helps engineers focus on problems that need expert attention.

Improve service stability

Detect anomalies early and understand their potential service impact before they become larger problems. This supports more proactive operations and better network stability.

Increase operational consistency

Use repeatable troubleshooting logic across teams, shifts and domains. This reduces dependency on individual expert knowledge and helps teams work in a more consistent way.

Keep control of automation

Use guided or automated actions where they make sense, while keeping operator oversight where it matters. This enables a gradual, controlled move toward more autonomous operations.

Features and capabilities

Unified monitoring and troubleshooting

Monitor and troubleshoot network health from a single interface. Get a connected view across core functions, Kubernetes and cloud infrastructure, so teams can move from detection to resolution without switching tools.

Data correlation across layers

Link alarms, logs, metrics, traces and health checks into one operational context. This helps turn scattered data into clear insights and faster root cause identification.

AI driven anomaly detection

Identify unusual behavior across performance data, logs and health checks. AI driven analysis helps highlight emerging risks before they affect services.

Subscriber level troubleshooting

Trace and analyze individual sessions across core functions. This helps teams isolate user affecting issues and understand their impact on services.

Guided and automated resolution

Use recommended repair steps, diagnostics and automated responses to shorten recovery time and reduce manual effort.

Open architecture

Core Monitor & Troubleshooter uses open interfaces and cloud native principles to collect and process observability data from core functions and infrastructure. It builds on technologies such as Grafana for visualization, VictoriaMetrics for metrics storage, OpenSearch for log analytics and search, and OpenTelemetry based data collection.

Integration with existing operations

The product can share data with external assurance, analytics and ITSM systems through standard interfaces. It is designed to fit into existing operations and evolve as automation maturity grows.

Use cases and applications

Resolve issues across core and cloud layers

Find problems that do not sit in one place. Core Monitor & Troubleshooter connects signals from core functions, Kubernetes and infrastructure to help teams see where an issue starts.

Understand issues down to subscriber level

See what is happening to individual sessions and services. This helps teams isolate user affecting issues without collecting data manually from several systems.

Turn scattered data into a clear root cause

Bring alarms, logs, metrics, traces and health checks into one connected view. Teams can move from many separate symptoms to a clearer explanation.

Detect anomalies before they become bigger problems

Spot unusual behavior early across performance data and health checks. This supports proactive action before service quality is affected.

Make troubleshooting more consistent

Use guided steps and repeatable workflows for common issues. Teams can follow the same logic across shifts and domains.

Reduce manual work with automated diagnostics

Trigger health checks, collect artefacts and start standard workflows from the same environment. This saves time and gives engineers better data for deeper analysis.

Move toward controlled closed loop operations

Use guided or automated repair actions where they make sense, while keeping operator control where it matters. This supports a gradual move from assisted troubleshooting to more autonomous operations.

Technical specifications

Core Monitor & Troubleshooter is a cloud native software product for core network monitoring, troubleshooting and automation.

It collects and correlates operational data from core network functions, Kubernetes clusters and underlying cloud infrastructure. The product supports logs, metrics, traces, alarms, events and health checks, and presents them through dashboards, diagnostics and troubleshooting workflows.

Core architectural elements include:

Data collection from CNFs, Kubernetes and infrastructure
Metrics storage using VictoriaMetrics
Log analytics and search using OpenSearch
Visualization through Grafana based dashboards
OpenTelemetry based observability data ingestion
AI driven analysis of CNF artefacts and operational patterns
Health checks, filters and troubleshooting models adapted to core network environments
Interfaces to external assurance, analytics and ITSM systems
Guided and automated repair recommendations
Evolution toward closed loop workflows, with lifecycle automation supported by Nokia Cloud Operations Manager

The architecture is designed to support multi vendor environments and to correlate data beyond Nokia domains where standard interfaces and available data allow it.