Getting Started with Monitoring: A Beginner's Guide

You've built something. Now you want to know when it breaks. But monitoring feels overwhelming — dashboards, metrics, alerts, SLOs, observability...

Let's cut through the noise. Here's how to set up basic monitoring in under an hour, explained in plain English.

What Monitoring Actually Is

At its core, monitoring answers one question: Is my thing working?

Everything else — dashboards, metrics, alerts — is just tools to help you answer that question faster and more accurately.

The Three Things You Actually Need

1. External uptime monitoring — Can users reach your service?
2. Health checks — Is your application healthy internally?
3. Error tracking — What's breaking?

That's it. Everything else is optional and can be added later.

Step 1: External Uptime Monitoring (10 minutes)

Step 2: Health Check Endpoint (20 minutes)

GET /health
{
  "status": "healthy"
}

GET /health
{
  "status": "healthy",
  "database": "ok",
  "cache": "ok"
}

Health Check Rules

• Return fast: Under 1 second
• Check only critical dependencies: Database, cache
• Return proper status codes: 200 for healthy, 503 for unhealthy
• Don't check external APIs: Their problems aren't your health issues

Step 3: Error Tracking (20 minutes)

What to Track

• Uncaught exceptions
• Failed database queries
• External API failures
• Any error the user sees

What You Now Have

After these three steps, you have:

• ✓ External monitoring: Know when users can't reach you
• ✓ Health checks: Infrastructure manages itself
• ✓ Error tracking: Know what's breaking

This is 80% of monitoring value. Everything else is optimization.

What to Add Later (Optional)

Metrics

Track request counts, latency, and business metrics. Add when you need to understand performance trends.

Log Aggregation

Centralize logs for debugging. Add when you're tired of SSHing into servers to read logs.

Distributed Tracing

Trace requests across services. Add when you have 10+ services and debugging cross-service issues.

On-Call and Escalation

Route alerts to the right person with escalation policies. Add when you have a team that needs coordination.

Common Beginner Mistakes

Mistake 1: Starting Too Complex

Problem: Setting up Prometheus, Grafana, and distributed tracing on day one.

Fix: Start with uptime monitoring and error tracking. Add complexity only when you need it.

Mistake 2: Monitoring from Inside Only

Problem: All checks run from your infrastructure. You don't know when DNS or network issues block users.

Fix: Always have external uptime monitoring.

Mistake 3: Too Many Alerts

Problem: Alerting on everything. You get 50 alerts a day and ignore all of them.

Fix: Alert only on user-facing issues. Use dashboards for internal metrics.

Mistake 4: No Action Plan

Problem: You get an alert but don't know what to do.

Fix: For every alert, have a runbook that explains what to check and how to fix it.

Beginner's Monitoring Checklist

• ☐ External uptime monitoring set up
• ☐ Health check endpoint added to application
• ☐ Error tracking integrated
• ☐ Alerts configured (email or chat)
• ☐ Tested that alerts actually fire
• ☐ Basic runbook created for common issues

Summary

Getting started with monitoring:

1. External uptime monitoring — Can users reach you?
2. Health checks — Is your app healthy?
3. Error tracking — What's breaking?

Set these up in under an hour. Everything else can wait until you actually need it.

Related Resources

• Monitoring Best Practices for Small Teams
• Health Checks vs Uptime Monitoring
• Alert Fatigue: When Too Many Alerts Make You Ignore Them