Server monitoring using Agent

Monitor the availability, performance, and health of all physical servers managed by Cloudmon agents. Track CPU, memory, disk, and network metrics in real time across your entire server fleet.

Overview

Servers are the backbone of most IT environments, running critical workloads, databases, and services that teams depend on around the clock. Unlike laptops, servers are expected to be always on, which makes any performance degradation or unexpected downtime immediately impactful. Cloudmon addresses this by deploying a lightweight agent directly on each server, giving IT teams continuous visibility into every monitored endpoint.

The agent collects performance data locally and stores it in an offline database for a configurable period of time. When connectivity is restored, all locally stored data is automatically uploaded and processed, ensuring no gaps in your monitoring history even during brief network interruptions.

Navigate to Agents → Servers to access this view. The summary bar shows Total devices, Down, Critical, High CPU Usage, High Memory Usage, and High Disk Usage counts, giving you an immediate picture of which servers are under pressure. Distribution charts break down servers by State, OS, and Vendor. The Top 5 charts highlight the servers under the heaviest CPU, Memory, and Disk load.

Server List

The server list shows all discovered servers with the following details:

Server Overview

Selecting a server opens its detail page. The overview shows key identity and status information including the hostname, IP address, group, customer, state, and status. It also shows availability percentage, total downtime, and current system time.

Hardware details include the processor, memory, partitions, disk, operating system, BIOS, and chassis, among other configuration information. Public IP details show the ISP, country, timezone, and organisation, helpful for confirming the hosting environment of the server.

Interfaces

Displays the operational state of all network interfaces on the server, including physical NICs, virtual adapters, and bonded interfaces. A searchable table lists each interface with its name, IP address, MAC address, speed, TX and RX rates, and operational state, among other details. This is particularly useful for servers with multiple interfaces, helping identify misconfigured or underperforming network paths, unexpected interface failures, or unusual traffic volumes on a specific NIC.

Installed Software

Lists all software installed on the server, showing the application name, version, publisher, and installation date. This is useful for auditing server software, identifying outdated application versions that may carry security vulnerabilities, confirming that required server software is present, or spotting unauthorised installations on production systems.

Processes and Services

Displays real-time CPU and memory usage across all running processes, alongside a list of monitored system services and their current state. For servers specifically, this view is most useful for:

• Identifying a runaway process consuming excessive CPU or memory, affecting other workloads running on the same server.
• Confirming that critical server services such as web servers, database engines, or application runtimes are running and not in a failed or degraded state.
• Detecting unexpected processes that should not be running on a production server, which could indicate unauthorised activity or a misconfigured deployment.
• Correlating a service outage or performance incident with a specific process that spiked resource usage at the time of the issue.
• Monitoring the number of instances of a process to detect abnormal duplication or spawning behaviour.

System Metrics

Displays time-series charts for key performance metrics collected from the server. For servers, the most operationally critical metrics include CPU Utilisation, Memory Utilisation, Disk Usage, and network throughput, among other hardware and performance indicators. Sustained high CPU or memory on a server often signals a workload capacity issue or a misbehaving service, making these metrics essential for proactive incident prevention.

Troubleshooting