Infrastructure-Aware Uptime Monitoring: Beyond Simple Checks
Learn how infrastructure-aware monitoring combines uptime checks with server metrics. Understand why knowing your endpoints isn't enough without knowing your infrastructure.
Wakestack Team
Engineering Team
Who This Is For
This guide is for SREs, DevOps engineers, and platform teams who want to understand not just when services fail, but why. If you're tired of knowing something is broken but not knowing the cause, infrastructure-aware monitoring solves this.
What Is Infrastructure-Aware Uptime Monitoring?
Traditional uptime monitoring answers: "Is it up?"
Infrastructure-aware monitoring answers: "Is it up, and if not, why?"
Traditional Approach
┌──────────────────────┐
│ Uptime Monitor │
│ │
│ ✗ API is down │
│ │
│ (Why? No idea) │
└──────────────────────┘
Infrastructure-Aware Approach
┌──────────────────────────────────────────┐
│ Infrastructure-Aware Monitor │
│ │
│ ✗ API is down │
│ │
│ Server Metrics: │
│ • CPU: 98% ← Likely cause │
│ • Memory: 85% │
│ • Disk: 72% │
│ • Process: node (consuming 95% CPU) │
└──────────────────────────────────────────┘
The Problem with Traditional Uptime Monitoring
You Know THAT, Not WHY
When you get an alert "API is down," you start guessing:
- Did we deploy bad code?
- Is the server overloaded?
- Did the database crash?
- Is it a network issue?
Then you SSH in and start investigating.
No Context = Slow Resolution
Without infrastructure context:
- Get alert (T+0)
- Log into server (T+2 min)
- Run diagnostic commands (T+5 min)
- Find the problem (T+10 min)
- Start fixing (T+10 min)
MTTR: 10+ minutes just to diagnose
With infrastructure context:
- Get alert with server metrics (T+0)
- See CPU at 98% (T+0)
- Start fixing (T+1 min)
MTTR: Under 2 minutes to diagnose
Separate Tools = Context Switching
Many teams use:
- UptimeRobot or Pingdom for uptime
- Datadog or New Relic for infrastructure
- A status page tool for communication
During incidents, you're switching between tabs, correlating timestamps, losing time.
Wakestack's Infrastructure-Aware Approach
Wakestack combines:
1. Uptime Monitoring
- HTTP/HTTPS checks
- TCP port monitoring
- DNS verification
- SSL certificate checks
2. Server Monitoring
- CPU usage and load
- Memory consumption
- Disk space and I/O
- Process monitoring
3. Nested Organization
- Group monitors by server
- See relationships
- Understand blast radius
4. Status Pages
- Communicate with users
- Automatic component status
- Incident management
All In One Dashboard
Production API Server (api-prod-01)
├── Uptime Checks
│ ├── ✗ /api/health (503 error)
│ ├── ✗ /api/users (timeout)
│ └── ✗ /api/orders (timeout)
│
├── Server Metrics
│ ├── CPU: 98% ⚠️ CRITICAL
│ ├── Memory: 72%
│ └── Disk: 45%
│
└── Processes
├── node (CPU: 95%) ← Found it
├── nginx (CPU: 1%)
└── postgres (CPU: 2%)
How Infrastructure-Aware Monitoring Works
Step 1: Install Server Agent
Deploy Wakestack's lightweight Go agent:
curl -sSL https://wakestack.co.uk/install.sh | bashThe agent collects:
- System metrics every 30 seconds
- Process list and resource usage
- Disk I/O and network stats
Step 2: Create Uptime Monitors
Add monitors for your endpoints:
- API health checks
- Website availability
- Database ports
Step 3: Link Monitors to Hosts
Associate monitors with their servers:
api.example.com/health → API Server Host
Step 4: See the Combined View
When issues occur, you see everything together:
- Which endpoints are affected
- What server resources look like
- Which processes are consuming resources
Real-World Examples
Example 1: Memory Leak
Alert: API response time degraded
Traditional approach:
- Check uptime monitor: "Yes, it's slow"
- SSH into server
- Run
free -h, see low memory - Run
top, find memory-heavy process - Restart or fix
Infrastructure-aware approach:
- Check dashboard: See memory at 95%
- See process list: node at 8GB RSS
- Restart or fix
Time saved: 5-10 minutes
Example 2: Disk Full
Alert: Database connection failing
Traditional approach:
- Check uptime monitor: "TCP 5432 not responding"
- SSH into database server
- Try
psql, see errors - Check logs, see disk errors
- Run
df -h, see disk full - Clear logs
Infrastructure-aware approach:
- Check dashboard: See disk at 100%
- Clear logs
Time saved: 5-8 minutes
Example 3: Traffic Spike
Alert: Multiple endpoints slow
Traditional approach:
- Check multiple monitors individually
- Notice they're all on the same server
- SSH in, see high CPU
- Check if it's attack or legitimate
- Scale or block
Infrastructure-aware approach:
- See server group showing high CPU
- All child monitors affected
- Network stats show traffic spike
- Scale or block
Time saved: 5-10 minutes
Comparing Approaches
Single-Purpose Uptime Tools
Tools: UptimeRobot, Pingdom, Better Stack
What they do:
- Check endpoints externally
- Alert when down
- Some offer status pages
What they don't do:
- Server resource monitoring
- Root cause visibility
- Infrastructure relationships
Full Observability Platforms
Tools: Datadog, New Relic, Dynatrace
What they do:
- Everything (APM, logs, metrics, traces, synthetics)
- Deep infrastructure visibility
- Complex dashboards
What they cost:
- $15-50+ per host per month
- Often thousands monthly
Infrastructure-Aware Uptime (Wakestack)
What it does:
- Uptime monitoring
- Essential server metrics
- Nested host organization
- Status pages
What it costs:
- $29/month (Pro)
Trade-off: Less deep than Datadog, more context than UptimeRobot
Who Needs Infrastructure-Aware Monitoring?
You Need It If:
- ✅ You manage your own servers
- ✅ You SSH into boxes during incidents
- ✅ You have 10+ monitors to organize
- ✅ You want faster incident resolution
- ✅ You don't need full APM/tracing
You Don't Need It If:
- ❌ You use serverless/PaaS exclusively
- ❌ You already have Datadog/New Relic
- ❌ You only have 1-2 simple endpoints
- ❌ You never need to know why things fail
Setting Up Infrastructure-Aware Monitoring
Step 1: Sign Up
Create your free account at wakestack.co.uk/signup
Step 2: Add Your Servers as Hosts
- Create a host for each server
- Install the agent
- Verify metrics flowing
Step 3: Add Monitors Under Hosts
- Create uptime monitors
- Link to parent hosts
- See combined view
Step 4: Configure Alerts
Set thresholds for:
- Endpoint failures
- High CPU (>80%)
- Low memory (>85% used)
- Low disk (under 20% free)
Step 5: Create Status Page
Add components that auto-update based on monitors.
Try Infrastructure-Aware Monitoring
See how combining uptime and infrastructure changes incident response.
- Free tier to try it
- Server agent included
- Status pages included
- No credit card required
Related Resources
Frequently Asked Questions
What is infrastructure-aware uptime monitoring?
Infrastructure-aware monitoring combines traditional uptime checks (is the endpoint responding?) with server metrics (CPU, memory, disk). This gives you both the what and the why when issues occur.
Why isn't regular uptime monitoring enough?
Regular uptime monitoring tells you THAT something is down. Infrastructure-aware monitoring tells you WHY—was it a server resource issue, network problem, or application bug?
Do I need separate tools for uptime and infrastructure monitoring?
Traditionally yes, but tools like Wakestack combine both. This integration reduces context switching and provides faster root cause analysis.
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