Server Monitoring: Complete Guide to Infrastructure Visibility
Learn how to monitor your servers effectively - CPU, memory, disk, and processes. Understand why server monitoring matters and how it complements uptime monitoring.
Wakestack Team
Engineering Team
Who This Is For
This guide is for system administrators, DevOps engineers, and developers who manage servers and need visibility into infrastructure health. Whether you run bare metal, VPS, or cloud instances, server monitoring is essential.
If you've ever been surprised by a server running out of disk space or CPU maxing out, this guide will help you prevent that.
What Is Server Monitoring?
Server monitoring is the practice of continuously tracking server health metrics:
| Metric | What It Shows | Why It Matters |
|---|---|---|
| CPU | Processing load | High CPU = slow responses |
| Memory | RAM usage | Low memory = OOM kills |
| Disk | Storage space | Full disk = app crashes |
| Disk I/O | Read/write speed | High I/O = bottlenecks |
| Network | Traffic in/out | Saturation = timeouts |
| Processes | Running apps | Crashed = downtime |
Server Monitoring vs Uptime Monitoring
Both are essential, but they answer different questions:
| Uptime Monitoring | Server Monitoring |
|---|---|
| Is the service accessible? | Why is the service slow/down? |
| External perspective | Internal perspective |
| Checks endpoints | Checks resources |
| "Your API is down" | "CPU is at 100%" |
You need both. Uptime monitoring tells you THAT something is wrong. Server monitoring tells you WHY.
The Problem Without Server Monitoring
2:00 AM - Uptime alert: "API down"
2:05 AM - SSH into server
2:10 AM - Run htop, df, free
2:15 AM - Find disk at 100%
2:20 AM - Clear logs
2:25 AM - Service restored
MTTR: 25 minutes
With Server Monitoring
2:00 AM - Uptime alert: "API down"
Server alert: "Disk at 100%"
2:01 AM - See both alerts together
2:03 AM - Clear logs (already know cause)
2:05 AM - Service restored
MTTR: 5 minutes
Wakestack's Server Monitoring
Wakestack includes a lightweight Go agent that monitors:
- CPU usage and load average
- Memory used/available/cached
- Disk space and usage
- Processes running on the server
- Custom metrics you define
Key Differentiator: Nested Hosts
Most monitoring tools show flat lists. Wakestack connects everything:
Production Environment
├── Web Server 1
│ ├── HTTP health check
│ ├── CPU: 45%
│ ├── Memory: 72%
│ └── Disk: 58%
├── Web Server 2
│ └── ...
└── Database Server
├── TCP port 5432
├── CPU: 23%
├── Memory: 89%
└── Disk: 45%
When an endpoint goes down, you immediately see the server health alongside it.
Setting Up Server Monitoring with Wakestack
Step 1: Install the Agent
curl -sSL https://wakestack.co.uk/install.sh | bashThe agent is:
- A single Go binary (~10MB)
- Minimal resource usage (~1% CPU, 20MB RAM)
- Auto-updates
- Runs as a systemd service
Step 2: Configure Collection
The agent auto-detects:
- CPU cores and usage
- Memory capacity and usage
- Mounted disks and usage
- Running processes
Step 3: Set Alert Thresholds
CPU warning: > 80%
CPU critical: > 95%
Memory warning: > 85%
Memory critical: > 95%
Disk warning: > 80%
Disk critical: > 90%
Step 4: Connect to Uptime Monitors
Link your server to its endpoints:
- API health check → Web Server
- Database port → Database Server
Now you see the complete picture in one dashboard.
What to Monitor on Your Servers
CPU Monitoring
What to track:
- Usage percentage
- Load average (1min, 5min, 15min)
- Per-core usage (for multi-core)
Alert thresholds:
Warning: Sustained > 80%
Critical: Sustained > 95%
Common causes of high CPU:
- Runaway processes
- Unoptimized queries
- Traffic spikes
- Mining malware
Memory Monitoring
What to track:
- Used memory
- Available memory
- Cached memory
- Swap usage
Alert thresholds:
Warning: > 85% used
Critical: > 95% used
Swap alert: Any swap usage (on servers)
Why it matters: Linux OOM killer terminates processes when memory runs out. You want warning before this happens.
Disk Monitoring
What to track:
- Space used/available
- Inode usage
- I/O throughput
Alert thresholds:
Warning: > 80% full
Critical: > 90% full
Common causes of full disks:
- Log files growing unbounded
- Temp files not cleaned
- Database growth
- Uploaded files
Process Monitoring
What to track:
- Is critical process running?
- Process CPU/memory usage
- Process count
Example processes to monitor:
- nginx/apache
- node/python/java
- postgresql/mysql
- redis/memcached
Server Monitoring Best Practices
1. Set Up Baseline Alerts
Before you know what's abnormal, establish normal:
- Run monitoring for a week without alerts
- Observe typical patterns
- Set thresholds based on actual usage
2. Alert on Trends, Not Spikes
A brief CPU spike to 95% during deployment is normal. Sustained 80% for 30 minutes is a problem.
Configure alerts for:
Sustained high CPU for 5+ minutes
3. Monitor Disk Growth Rate
A disk at 50% filling at 1%/day is more urgent than a disk at 80% that hasn't changed in months.
4. Correlate with Uptime
When uptime monitoring triggers, immediately check:
- Server resources at the same time
- Any threshold breaches
- Resource trends leading up to the incident
5. Set Up Capacity Planning Alerts
Before you hit 90%, get warnings at 70%:
At 70%: "Plan capacity increase"
At 80%: "Schedule capacity increase"
At 90%: "Urgent: capacity critical"
Server Monitoring Without Full Observability
Enterprise tools like Datadog offer comprehensive infrastructure monitoring but cost hundreds/month.
Wakestack provides essential server monitoring:
- CPU, memory, disk, processes
- Integrated with uptime monitoring
- Status pages included
- At a fraction of the cost
| Feature | Wakestack | Datadog |
|---|---|---|
| CPU/Memory/Disk | Yes | Yes |
| Process monitoring | Yes | Yes |
| Container monitoring | No | Yes |
| Kubernetes | No | Yes |
| APM integration | No | Yes |
| Price | $29/mo | $15+/host/mo |
For teams that need server basics without enterprise complexity, Wakestack fits.
Comparison: Server Monitoring Options
Wakestack
Pros:
- Included with uptime monitoring
- Lightweight agent
- Nested host organization
- Status pages included
Cons:
- Basic metrics only
- No container/K8s
- No APM integration
Best for: Teams wanting uptime + server monitoring in one tool
Datadog Infrastructure
Pros:
- Comprehensive metrics
- Container/K8s native
- 500+ integrations
- APM correlation
Cons:
- Expensive ($15+/host)
- Complex
- Overkill for simple needs
Best for: Enterprise teams needing full observability
Prometheus + Grafana
Pros:
- Open source
- Highly customizable
- Industry standard
- Free
Cons:
- Self-hosted complexity
- No built-in alerting UI
- Steep learning curve
Best for: Teams with DevOps capacity for self-hosting
Netdata
Pros:
- Free and open source
- Beautiful dashboards
- Auto-discovery
- Low footprint
Cons:
- Limited cloud features
- Basic alerting
- Self-hosted
Best for: Single-server monitoring, home labs
Try Wakestack Server Monitoring
Get infrastructure visibility alongside uptime monitoring.
- 5 monitors included free
- Server agent included
- Status pages included
- No credit card required
Related Resources
Frequently Asked Questions
What is server monitoring?
Server monitoring tracks the health and performance of your servers - CPU usage, memory consumption, disk space, and running processes. It helps you identify issues before they cause downtime.
What's the difference between server monitoring and uptime monitoring?
Uptime monitoring checks if services are accessible from outside. Server monitoring looks inside the server at system resources. Both are needed for complete visibility.
Do I need an agent for server monitoring?
Yes, server monitoring requires a lightweight agent installed on each server. The agent collects metrics and sends them to your monitoring platform.
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