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Nathan Claire Group
Edge platformLog Monitoring
LOG · Edge platform module

Log monitoring across your full stack

Live, searchable and correlated logs across applications, services and infrastructure. Logs that connect to traces, metrics and alerts in one investigation rather than four separate tools.

LOG
Log Monitoring
Edge platform · Module
One of twelve modules writing to the Edge Datalake. All signals correlated across modules automatically.
Error frequencyLatency spikesAuthentication eventsService restartsException patterns+1 more
Live dashboard preview

See exactly what your team will see

Live data simulation
EdgeProductionLog Monitoring
Last 1h
LIVE
Events / sec
4,201
▲ 38% vs baseline
Error Events
1,847
↑ 4.2× in 15 min
Warn Events
634
↑ 2.1× in 15 min
Pattern alerts
3 new
DB connection errors
Sources active
48 svc
130 hosts
service:payments-* AND level:error AND @timestamp:[now-15m TO now]1,847 results
TimestampLevelServiceHostMessage
13:41:22.841errorpayments-apiprod-node-08Connection pool exhausted: max 200 connections reached
13:41:22.716errorcheckout-apiprod-node-02Upstream payments-api returned 503 Service Unavailable
13:41:22.204errorpayments-dbdb-primary-01Query execution time exceeded 2000ms threshold: SELECT * FROM transactions WHERE...
13:41:21.988warnpayments-apiprod-node-08Connection pool at 95% capacity (190/200) — consider scaling
13:41:21.571errorcheckout-apiprod-node-04Request queue full — dropping incoming requests (queue=512)
13:41:21.103infoauth-serviceprod-node-01JWT token validation succeeded for user 9a3f21b in 4ms
13:41:20.877warnpayments-apiprod-node-07Retry attempt 3/3 for transaction TXN-8849213 — backing off 1200ms
13:41:20.412errorpayments-dbdb-primary-01Lock wait timeout exceeded: transaction rolled back after 30s
13:41:19.993errorcheckout-apiprod-node-02Failed to complete checkout for session abc123: downstream timeout
New pattern detected
Authentication failures increased 4.2× in the last 15 minutes.
+312 events/min
Correlated trace
This error cluster belongs to trace 9fb18e3… — open in APM.
Live Tail active
New events arriving at 4,200 events/sec across all sources.
Search at scale
Filter instantly across 48 services, 130 hosts, and 3 environments.
Connected toAPM — Payments API trace Infrastructure — db-primary-01 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 visibility

Centralised log collection from applications, services, infrastructure and network devices in one searchable view.

02

Real time intelligence

Live tail, pattern detection and anomaly analysis as events arrive, not minutes later.

03

Security you can trust

Redaction rules, access controls and full audit trail of who searched what and when.

04

Developer velocity

Query logs using natural language or structured syntax. Alert directly from a log query without leaving the console.

05

Compliance made simple

Configurable retention policies, export controls and regulatory reporting built into the retention layer.

06

Zero ingestion penalties

No per-GB ingestion charges. Send everything and filter at query time rather than at ingestion.

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 payment service starts logging authentication failures at 2am. Log monitoring detects the pattern, links it to a known vulnerability pattern, and alerts the security team before the first customer complaint.

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 LOG

Error frequencyLatency spikesAuthentication eventsService restartsException patternsDeployment events
In practice
Real scenario

A payment service starts logging authentication failures at 2am. Log monitoring detects the pattern, links it to a known vulnerability pattern, and alerts the security team before the first customer complaint.

Business outcomes

What changes for the business

01

60% lower MTTR

Correlated logs cut investigation time by connecting the error message to the service, trace and infrastructure event behind it.

02

70% faster threat detection

Security signals surface in seconds rather than hours, with pattern recognition across millions of log lines.

03

50% less manual triage

Pattern detection and anomaly scoring route noise away from the team and surface only the logs that need attention.

Platform ecosystem

Better together with the Edge platform

LOG 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

Log Monitoring questions, answered

What does Edge Log Monitoring monitor?

Edge Log Monitoring captures signals including error frequency, latency spikes, authentication events, service restarts, exception patterns, deployment events, and provides complete visibility, real time intelligence, security you can trust and more.

How is Edge Log 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 LOG connect to the rest of Edge?

LOG 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 LOG on your own environment.

LOG · Edge platform

Ready to see Log Monitoring live?

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