Game Server Monitoring with Prometheus and Grafana on Dedicated Hardware

When your game server lags, drops ticks, or crashes, guessing at the root cause wastes hours. Prometheus and Grafana give you real-time visibility into CPU usage, memory pressure, disk I/O, and network performance on a single dashboard. This guide walks through setting up a complete monitoring stack for a game server running on dedicated hardware, with alerts that notify you before problems affect your players.

Why Prometheus and Grafana for Game Server Monitoring

Most game server hosting panels provide basic CPU load and bandwidth graphs. These are insufficient for diagnosing real performance issues. You need:

• Per-process metrics: CPU and RAM broken down by the game server process, not the entire machine.
• Disk I/O latency: World save latency measured in milliseconds, not just IOPS.
• Network jitter: Real-time packet loss and latency variation.
• Temperature and throttling: CPU temperature and clock speed to detect thermal throttling before it degrades performance.

Prometheus collects these metrics at configurable intervals (default 15 seconds), and Grafana visualizes them on dashboards you can customize for each game server instance.

Installing the Monitoring Stack

These instructions assume Ubuntu 24.04 LTS on your dedicated server. The same steps work on Debian 12 and CentOS Stream 9 with minor package name adjustments.

Step 1: Install Prometheus

1. Download the latest Prometheus release: wget https://github.com/prometheus/prometheus/releases/latest/download/prometheus-*.linux-amd64.tar.gz
2. Extract and move binaries: sudo mv prometheus promtool /usr/local/bin/
3. Create a config file at /etc/prometheus/prometheus.yml with scrape targets for the game server process and system metrics.
4. Create a systemd service file and start Prometheus on port 9090.

Step 2: Install Node Exporter

Node Exporter provides system-level metrics: CPU, memory, disk, network, and temperature sensors.

1. Download and install Node Exporter: wget https://github.com/prometheus/node_exporter/releases/latest/download/node_exporter-*.linux-amd64.tar.gz
2. Run it as a systemd service on port 9100.
3. Add localhost:9100 as a scrape target in your Prometheus config.

Step 3: Custom Game Server Metrics

For game-specific metrics — player count, tick rate, JVM heap usage — build a custom exporter. A simple Python script that reads the game server’s process metrics and exposes them on a Prometheus endpoint works well. The process-exporter project can also track per-process CPU and memory usage without custom code.

Step 4: Install and Configure Grafana

1. Install Grafana from the official APT repository: sudo apt install -y grafana
2. Start Grafana on port 3000.
3. Add Prometheus as a data source (URL: http://localhost:9090).
4. Import or build a dashboard for game server monitoring.

Key Metrics to Track

Metric	Source	Warning	Critical
CPU usage (game process)	process-exporter	>80% sustained	>95% sustained
RAM usage (game process)	process-exporter	>85% allocated	>95% allocated
Disk write latency	Node Exporter	>10 ms avg	>50 ms avg
Network jitter	Node Exporter / custom	>5 ms	>15 ms
CPU temperature	Node Exporter (sensors)	>75°C	>85°C
Player count	Custom exporter	>80% capacity	At capacity
Server tick rate	Custom exporter	Below 90% target	Below 70% target

Setting Up Alerts

Grafana alerts can send notifications via Discord, Slack, email, or webhook when thresholds are breached. Configure alerts for:

• High CPU usage: If the game server process uses more than 90% CPU for 5 minutes, the server may be approaching capacity.
• Disk latency spikes: If world save latency exceeds 50 ms, check for NVMe throttling or insufficient IOPS.
• Memory pressure: If available RAM drops below 10% of total, players may experience OOM crashes.
• Temperature warnings: If CPU temperature exceeds 85°C, the server may be thermal throttling.

With Prometheus and Grafana running, you monitor your game server hosting environment with the same tooling that production web services rely on. The dashboards provide immediate visibility into performance issues, and alerts ensure you know about problems before your players do. For any game server on dedicated hardware, this monitoring stack is the difference between reactive troubleshooting and proactive management.