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Nathan Claire Group
Edge platformInfrastructure Monitoring
INF · Edge platform module

Infrastructure monitoring for hosts, containers and clusters

Full visibility across every layer of your infrastructure, from bare metal and VMs through to Kubernetes clusters and cloud services. Correlate infrastructure health directly to application performance and business outcomes.

INF
Infrastructure Monitoring
Edge platform · Module
One of twelve modules writing to the Edge Datalake. All signals correlated across modules automatically.
CPU utilisationMemory pressureDisk I/ONetwork throughputContainer restarts+2 more
Live dashboard preview

See exactly what your team will see

Live data simulation
EdgeProductionInfrastructure
Last 1h
LIVE
Total Hosts
46
12 production
Critical hosts
1
prod-node-08
Avg CPU
64%
▲ +18% vs 1h ago
Memory pressure
91%
prod-node-08 critical
Containers
224
8 restarting
Host health matrixproduction cluster
node-01
CPU 31%
Mem 44%
node-02
CPU 48%
Mem 61%
node-03
CPU 22%
Mem 38%
node-04
CPU 55%
Mem 72%
node-05
CPU 18%
Mem 29%
node-06
CPU 41%
Mem 58%
node-07
CPU 63%
Mem 81%
!
node-08
CPU 88%
Mem 91%
node-09
CPU 35%
Mem 47%
node-10
CPU 29%
Mem 41%
node-11
CPU 44%
Mem 55%
node-12
CPU 19%
Mem 32%
prod-node-08 — Detailcritical
CPU88%
Memory91%
Disk I/O74%
Network62%
Kubernetes — pod restarts
payments-api-7d9f14×
checkout-api-4b2e9×
auth-svc-a91c1×
inventory-3d7e0×
Memory saturation
prod-node-08: 91% memory utilisation for 12+ minutes — 3 services affected.
91% / 200 GB
3 services affected
Checkout API, Payments API, Auth Service depend on this node.
Kubernetes — 2 pods
payments-api-7d9f and checkout-api-4b2e are restarting frequently.
Capacity forecast
Available memory likely exhausted within 41 minutes at current rate.
Connected toAPM — Payments API Logs — prod-node-08 Ask Overwatch
Capabilities

What it puts in front of your teams

Every capability is available from day one. No additional instrumentation required beyond the initial agent deployment.

See a live demonstration
01

Complete platform visibility

Unified view across hosts, VMs, containers, Kubernetes, databases and network devices.

02

Live health tracking

Real-time metrics for CPU, memory, disk, network and custom application-level indicators.

03

Deep stack correlation

Connect an infrastructure event to the application slowdown and customer experience degradation it caused.

04

Early warning signals

Predictive threshold alerts based on learned baseline behaviour, not static limits.

05

Root cause clarity

Ranked root cause suggestions that point to the host, container or service most likely responsible.

06

Prediction and forecasting

Capacity forecasting from historical trends, identifying resource exhaustion weeks before it happens.

How it works

From signal to action in seconds

01

Deploy once

A lightweight Edge agent deploys to your environment. Auto-discovery maps services, hosts and applications without manual configuration.

02

Collect everything

A Kubernetes cluster running payment processing shows memory pressure building over four hours. Infrastructure monitoring triggers an alert at 70% before the OOM kill at 95% brings down the pods.

03

Act with confidence

Anomaly detection, root cause analysis and AI-assisted recommendations give your teams the context to act fast and correctly.

What it measures

Signals captured by INF

CPU utilisationMemory pressureDisk I/ONetwork throughputContainer restartsPod healthVM availability
In practice
Real scenario

A Kubernetes cluster running payment processing shows memory pressure building over four hours. Infrastructure monitoring triggers an alert at 70% before the OOM kill at 95% brings down the pods.

Business outcomes

What changes for the business

01

Reduced downtime

Catch infrastructure degradation hours before it becomes an outage, with enough time to act.

02

Better capacity planning

Right-size infrastructure on evidence rather than safety margins, reducing waste without increasing risk.

03

Smarter investment

Identify over-provisioned resources and consolidate without compromising performance.

Platform ecosystem

Better together with the Edge platform

INF writes its data to the Edge Datalake, making it queryable and correlatable alongside every other module in real time.

EDGE Platform · Service Topology
COLLECTIONAPPLICATIONINFRASTRUCTUREINTELLIGENCEReal UserBrowser · MobileSyntheticGlobal probesTransactionsE2E tracingApp PerformanceCode-level APMLog MonitoringStructured · tailNetwork Mon.Flow · topologyInfrastructureHosts · VMs · K8sDatabaseQuery insightsSchedulerJob trackingAI AgentAIOps · OverwatchOpenTelemetryOTLP · gRPCEDGE DatalakeUNIFIED · REAL-TIME · QUERYABLE11MODULES100+SOURCES99.99% uptime SLA11 nodes · 11 connections · 1 unified datalakeNCG Africa Ltd
11Modules
< 2%Agent CPU
1Unified Datalake
100+Connectors
Questions

Infrastructure Monitoring questions, answered

What is infrastructure monitoring?

Infrastructure monitoring is the practice of tracking the health, performance, and availability of the underlying IT components that support applications and services — including servers, virtual machines, containers, Kubernetes clusters, cloud instances, network devices, and storage systems.

How does infrastructure monitoring work?

Infrastructure monitoring works by deploying lightweight agents on monitored hosts, or by using agentless collection via APIs and protocols such as SNMP, WMI, or cloud provider APIs. These agents collect system metrics — CPU, memory, disk I/O, network utilisation — and send them to a central platform for aggregation, visualisation, and alerting. On EDGE, infrastructure data is automatically correlated with APM, logs, and other signals.

What infrastructure can be monitored?

With EDGE, organisations can monitor physical servers, virtual machines, containers, Kubernetes clusters, cloud infrastructure (AWS, Azure, GCP), on-premises hardware, network devices, databases, and more. The platform supports over 100 integrations, enabling broad coverage of heterogeneous environments.

How can infrastructure monitoring improve system reliability?

Infrastructure monitoring improves system reliability by providing early warning of resource contention, capacity issues, and hardware degradation before they affect applications. By correlating infrastructure metrics with application performance data, teams can quickly determine whether an application problem is caused by an underlying infrastructure issue, reducing mean time to resolution.

What does Edge Infrastructure Monitoring monitor?

Edge Infrastructure Monitoring captures signals including cpu utilisation, memory pressure, disk i/o, network throughput, container restarts, pod health, and provides complete platform visibility, live health tracking, deep stack correlation and more.

How is Edge Infrastructure Monitoring deployed?

Edge connects through lightweight agents or agentless connectors — typically 2–4 hours for a standard environment — and can be deployed on-premises, in your private cloud or in a regional cloud, so monitoring data stays within your jurisdiction.

Does it work with the monitoring tools we already use?

Yes. Edge is designed for a no-rip-and-replace approach and connects alongside your existing stack, with 100+ integrations across cloud, containers, databases, APM agents, telemetry standards and alerting channels.

How does INF connect to the rest of Edge?

INF writes its data to the Edge Datalake, so it can be queried and correlated in real time with application traces, logs, infrastructure metrics and real user data from the other Edge modules.

How is it priced?

Pricing is tailored to the scale of your environment, the modules you choose and your deployment model. Start with a short, no-obligation discovery session and NCG will prepare a scoped proposal.

More answers in the FAQ library, or book a demo to see INF on your own environment.

INF · Edge platform

Ready to see Infrastructure Monitoring live?

We deploy a proof of value in your environment. You keep it if it delivers. No long commitments, no surprises.