How to Set Up Remote Hardware Monitoring for Multiple PCs

Monitoring hardware health on a single machine is straightforward — open HWiNFO64, read the sensors, close it when done. Monitoring hardware health across 10, 20, or 50 machines at multiple locations requires centralized infrastructure that works without physical access, without manual intervention, and without requiring someone to remember to check it.

This guide covers the complete setup of remote hardware monitoring for multi-machine Windows environments. It is part of our complete hardware monitoring guide and applies directly to the use cases covered in our MSP remote monitoring guide.

What Remote Hardware Monitoring Requires

1. A local agent — software running on each monitored machine that reads hardware sensors and transmits data
2. A data pipeline — the mechanism by which sensor data moves from agent to a central collection point
3. A dashboard — centralized visibility into all machines simultaneously
4. An alert system — automated notification when any sensor crosses a meaningful threshold

Choosing Between Agentless and Agent-Based Monitoring

Agentless monitoring queries machines remotely using SNMP, WMI, or SSH. For Windows desktop PCs and workstations, agentless monitoring can retrieve basic OS metrics but cannot access hardware sensor data: actual CPU temperature in Celsius, GPU temperature, fan RPM, VRM temperature, or drive S.M.A.R.T. attributes.

Agent-based monitoring installs a lightweight service on each machine with full local access to hardware sensors. For hardware health monitoring, agent-based is the only meaningful choice. Agentless monitoring tells you the CPU is at 100% utilization. Agent-based monitoring tells you the CPU is at 100% utilization and 94°C and thermal throttling to 2.8 GHz.

Agent Deployment: The Approaches

Manual Installation (1-5 machines)

Manual installation takes 3-5 minutes per machine. For 5 machines, this is 15-25 minutes of one-time setup.

Script-Based Deployment (5-50 machines)

For mid-size fleets, PowerShell-based silent installation eliminates the need to touch each machine individually:

$installerUrl = "https://ggfix.dk/agent/GGFixSetup.exe"
$enrollToken  = "YOUR_ENROLLMENT_TOKEN_HERE"

Invoke-WebRequest -Uri $installerUrl -OutFile "$env:TEMP\GGFixSetup.exe"
Start-Process "$env:TEMP\GGFixSetup.exe" -ArgumentList "/S /TOKEN=$enrollToken" -Wait

This script can be deployed via Group Policy, PDQ Deploy, SCCM, or Intune.

Group Policy Deployment (Domain environments)

For Active Directory environments, GPO-based software deployment reaches every domain-joined machine automatically. New machines joining the domain get the agent installed on first login without any additional action.

Configuring the Agent

Default configuration works without modification for most environments:

• Poll interval: 60 seconds
• Upload interval: 5 minutes
• Sensors monitored: All available sensors by default
• Resource usage: ~15 MB RAM, <0.5% CPU

Setting Up the Dashboard

Baseline Establishment

For meaningful anomaly detection, the monitoring system needs a baseline for each machine. Most AI-based monitoring systems establish this automatically after 7-14 days of data collection. During this period, ensure machines run their typical workloads so the baseline reflects real operating conditions.

After baseline establishment, alerts fire based on deviation from each machine's own history rather than from a generic threshold. This eliminates false alarms on AMD machines (which run at high temperatures by design) and catches gradual degradation on Intel machines before it reaches failure.

Alert Configuration

For the specific thresholds to configure, see our hardware monitoring alert thresholds guide.

Warning level — Action within 48-72 hours:

• CPU temperature 10°C above historical baseline
• Fan RPM 20% below historical baseline
• S.M.A.R.T. reallocated sector count above 0 (first occurrence)

Critical level — Action within same business day:

• CPU temperature at or above 90°C sustained for 15+ minutes
• Fan RPM below 400 RPM during load

Emergency level — Immediate action required, fire regardless of time:

• GPU hotspot above 100°C
• Drive S.M.A.R.T. status changed to "Warning" or "Bad"
• Any fan at 0 RPM during normal operation

Alert Routing

Route alerts to where your team actually works:

• Telegram: Immediate push notification to a phone — best for after-hours emergencies
• Slack/Teams: Integration into IT team channel — best for business-hours alerts
• Email: Good for daily digests and weekly reports
• Webhooks: For integration with ticketing systems that create tickets automatically

Managing Multi-Site Fleets

Network requirements: The agent needs outbound internet access on port 443 (HTTPS). Agents connect directly to the cloud endpoint over the public internet — VPN is not needed for monitoring data collection.

Site-specific alert routing: Route alerts from each site to the appropriate responsible party.

Verifying the Setup Works

Agent connectivity test: Confirm all deployed machines show a "Last seen" timestamp within the last 10 minutes.

Sensor data completeness: Verify that CPU temperature, GPU temperature, fan RPM, and drive health are all showing current data on each machine.

Alert test: Deliberately trigger an alert condition and verify it fires correctly within 5 minutes.

Frequently Asked Questions

Q: Does remote monitoring work if the machine is turned off?

No. The monitoring agent runs as a Windows service and requires the machine to be powered on and running Windows. For machines that need to be monitored overnight, ensure they are not set to hibernate or power off during the monitored period.

Q: Can I monitor machines on a different network than my IT office?

Yes. Agent-based monitoring uses outbound HTTPS connections from each monitored machine to the cloud endpoint. The machines do not need to be on the same network as the IT team.

Q: How long does it take to set up monitoring for a 20-machine fleet?

With script-based or GPO deployment, the technical setup takes 1-2 hours. The monitoring system begins collecting data immediately. Meaningful baselines establish within 7-14 days of normal operation.

Q: What happens to monitoring data if the cloud service is unavailable?

GGFix agents buffer up to 24 hours of telemetry locally and upload the buffered data automatically when connectivity restores. No data is lost during brief outages.